Tag: Homework Solution

  • [Solved] D8

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    – ## Instruction.docx **## Instruction.docx** ### Instructions For the assignment this week, three new sections will be _added_ to the team research paper submitted in Week 7. Don't submit a separate Week 8 paper. **Add the Week 8 material to the paper from Week 7.** · Analysis (Two pages) · Recomme…

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    Assignment Prompt & Instructions

    – ## Instruction.docx

    **## Instruction.docx**

    ### Instructions

    For the assignment this week, three new sections will be
    _added_ to the team research paper submitted in Week 7. Don't submit a separate Week 8 paper.
    **Add the Week 8 material to the paper from Week 7.**

    · Analysis (Two pages)

    · Recommendations (Two pages)

    · Reflection (One page)

    · The sections from Week 7: Title page, Introduction, Problem Statement, and Literature Review. These sections are not graded for this week.

    · Update References — Combine with the Week 7 references

    For the assignment this week, address the following.

    1. Follow the guidelines for the research sources, paper formatting, tables and figures, and quotations and citations provided below.

    2. Review the grading rubric.

    [**Research Sources**](https://devryu.instructure.com/courses/125941/assignments/3991802)

    1. All papers must have a minimum of four scholarly sources (other than textbook) cited within the text of the paper and identified in the References section.

    2. All sources must be in two places: They need to be identified in the References section and must also have at least one corresponding citation within the body of the paper.

    3. All resources for the paper should come from scholarly or journal quality. Ask the librarians for assistance in accessing materials.

    4. Please note: Articles found online (consulting company websites, internet magazines, or other blogs) will not be considered acceptable scholarly resources. (Conduct your research through a library where you can be assured that the sources are of scholarly quality. For example, please do not use Wikipedia!)

    [**Paper Format**](https://devryu.instructure.com/courses/125941/assignments/3991802)

    1. All papers should be double-spaced and written in 12-point Times New Roman font, following the same formatting as the week 7 paper.

    2. The paper adds 5 more pages to the Week 7 paper, excluding the t page, reference pages, and appendices.

    3. Update the title page to reflect "Week 7 and Week 8 Team Paper”. Update the date and leave the other information the same as for week 7.

    4. Like in Week 7, follow APA style for general format and citations.

    5. Paper sections must adhere to the guidelines and each section must be labeled in the text. Contiknue to use APA top and 2nd level headings to organize your work.

    6. The language should be clear, concise, and precise.

    7. The tone should be professional, consistent, and not filled with jargon.

    8. Grammar and syntax (sentence structure) must be correct.

    9. The report must be free of misspellings and typos.

    [**Tables and Figures**](https://devryu.instructure.com/courses/125941/assignments/3991802)

    1. All figures and tables must be referred to in your text before they appear on the page.

    2. Figures and tables should appear on the same page as the text that refers to them or on the next page.

    3. All figures and tables need captions. Captions are placed below figures and above tables.

    [**Quotations and Citations**](https://devryu.instructure.com/courses/125941/assignments/3991802)

    1. Quotations and citations are crucial components of a research paper.

    2. Failure to properly cite research sources and borrowed ideas is plagiarism.

    3. Papers submitted without citations and references will be returned to the team with no grade.

    4. Refer to the APA style guide for assistance with properly citing quoted and/or borrowed materials and ideas.

    #### [Grading Rubric](https://devryu.instructure.com/courses/125941/assignments/3991802)

    | | | |
    | — | — | — |
    | Section | Description | Points |
    | Analysis<br>(Two pages) | Explore the problem in-depth and with scholarly rigor.<br>Provide an identification and description of the potential root causes of the problem or issue. Be sure to not address only the symptoms of your problem. Diagnose the problem and its origins as best as you can.<br>A critical element of this section is to apply the best practices of cost management and scheduling concepts and models from the textbook, class discussions, and researched sources.<br>Discuss the concepts, ideas, or insights that are most valuable in helping you make sense of the causes of the problem. Support your analysis with reference to appropriate research material.<br>Citations are a must! | 40 |
    | Recommendations<br>(Two pages) | Identify an initiative and recommended direction that you have chosen. Explain its relevance and significance in how it will address the cost management and scheduling issue(s) and reason(s) that you identified in the problem statement area.<br>Citations are a must!<br>Note: Please remember in this section you also need to touch on how you will be able to measure success. Think of the "lead-lag" indicator concepts from the course readings and lessons. | 40 |
    | Reflection<br>(One page) | In this section, you are to reflect on your learning from this assignment. Identify the areas that you found most interesting and also identify areas that you feel will assist you most in your career. | 10 |
    | References | You must use no fewer than four library resources outside of your textbook.<br>All references must be cited in two places: within the body of your paper and on a separate reference list. Choose references judiciously and cite them accurately. Cite all sources using APA format.<br>Please note: Citing an author's work within your text documents your research, identifies the source for readers, and enables readers to locate the source of information in the alphabetical reference list at the end of the paper.<br>To use the ideas or words of another person without crediting the source is plagiarism. Plagiarism in its purest form involves copying passages either verbatim or nearly verbatim, with no direct acknowledgment of the source. The most common form of plagiarism is to paraphrase information from your source material. Paraphrasing does not relieve you of the obligation to provide proper identification of source data.<br>The best way to avoid plagiarism is to make sure all quotes, ideas, or conclusions not your own are given proper acknowledgment in your text. A key thought to remember is "If you did not write it, cite it!" | 10 |
    | Total | | 100 |

    **## Instruction.docx**

    ### Instructions

    For the assignment this week, three new sections will be
    _added_ to the team research paper submitted in Week 7. Don't submit a separate Week 8 paper.
    **Add the Week 8 material to the paper from Week 7.**

    · Analysis (Two pages)

    · Recommendations (Two pages)

    · Reflection (One page)

    · The sections from Week 7: Title page, Introduction, Problem Statement, and Literature Review. These sections are not graded for this week.

    · Update References — Combine with the Week 7 references

    For the assignment this week, address the following.

    1. Follow the guidelines for the research sources, paper formatting, tables and figures, and quotations and citations provided below.

    2. Review the grading rubric.

    [**Research Sources**](https://devryu.instructure.com/courses/125941/assignments/3991802)

    1. All papers must have a minimum of four scholarly sources (other than textbook) cited within the text of the paper and identified in the References section.

    2. All sources must be in two places: They need to be identified in the References section and must also have at least one corresponding citation within the body of the paper.

    3. All resources for the paper should come from scholarly or journal quality. Ask the librarians for assistance in accessing materials.

    4. Please note: Articles found online (consulting company websites, internet magazines, or other blogs) will not be considered acceptable scholarly resources. (Conduct your research through a library where you can be assured that the sources are of scholarly quality. For example, please do not use Wikipedia!)

    [**Paper Format**](https://devryu.instructure.com/courses/125941/assignments/3991802)

    1. All papers should be double-spaced and written in 12-point Times New Roman font, following the same formatting as the week 7 paper.

    2. The paper adds 5 more pages to the Week 7 paper, excluding the t page, reference pages, and appendices.

    3. Update the title page to reflect "Week 7 and Week 8 Team Paper”. Update the date and leave the other information the same as for week 7.

    4. Like in Week 7, follow APA style for general format and citations.

    5. Paper sections must adhere to the guidelines and each section must be labeled in the text. Contiknue to use APA top and 2nd level headings to organize your work.

    6. The language should be clear, concise, and precise.

    7. The tone should be professional, consistent, and not filled with jargon.

    8. Grammar and syntax (sentence structure) must be correct.

    9. The report must be free of misspellings and typos.

    [**Tables and Figures**](https://devryu.instructure.com/courses/125941/assignments/3991802)

    1. All figures and tables must be referred to in your text before they appear on the page.

    2. Figures and tables should appear on the same page as the text that refers to them or on the next page.

    3. All figures and tables need captions. Captions are placed below figures and above tables.

    [**Quotations and Citations**](https://devryu.instructure.com/courses/125941/assignments/3991802)

    1. Quotations and citations are crucial components of a research paper.

    2. Failure to properly cite research sources and borrowed ideas is plagiarism.

    3. Papers submitted without citations and references will be returned to the team with no grade.

    4. Refer to the APA style guide for assistance with properly citing quoted and/or borrowed materials and ideas.

    #### [Grading Rubric](https://devryu.instructure.com/courses/125941/assignments/3991802)

    | | | |
    | — | — | — |
    | Section | Description | Points |
    | Analysis<br>(Two pages) | Explore the problem in-depth and with scholarly rigor.<br>Provide an identification and description of the potential root causes of the problem or issue. Be sure to not address only the symptoms of your problem. Diagnose the problem and its origins as best as you can.<br>A critical element of this section is to apply the best practices of cost management and scheduling concepts and models from the textbook, class discussions, and researched sources.<br>Discuss the concepts, ideas, or insights that are most valuable in helping you make sense of the causes of the problem. Support your analysis with reference to appropriate research material.<br>Citations are a must! | 40 |
    | Recommendations<br>(Two pages) | Identify an initiative and recommended direction that you have chosen. Explain its relevance and significance in how it will address the cost management and scheduling issue(s) and reason(s) that you identified in the problem statement area.<br>Citations are a must!<br>Note: Please remember in this section you also need to touch on how you will be able to measure success. Think of the "lead-lag" indicator concepts from the course readings and lessons. | 40 |
    | Reflection<br>(One page) | In this section, you are to reflect on your learning from this assignment. Identify the areas that you found most interesting and also identify areas that you feel will assist you most in your career. | 10 |
    | References | You must use no fewer than four library resources outside of your textbook.<br>All references must be cited in two places: within the body of your paper and on a separate reference list. Choose references judiciously and cite them accurately. Cite all sources using APA format.<br>Please note: Citing an author's work within your text documents your research, identifies the source for readers, and enables readers to locate the source of information in the alphabetical reference list at the end of the paper.<br>To use the ideas or words of another person without crediting the source is plagiarism. Plagiarism in its purest form involves copying passages either verbatim or nearly verbatim, with no direct acknowledgment of the source. The most common form of plagiarism is to paraphrase information from your source material. Paraphrasing does not relieve you of the obligation to provide proper identification of source data.<br>The best way to avoid plagiarism is to make sure all quotes, ideas, or conclusions not your own are given proper acknowledgment in your text. A key thought to remember is "If you did not write it, cite it!" | 10 |
    | Total | | 100 |

  • [Solved] DB3

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    1. – Discuss how management can control cash. Your discussion should include what tools management may use to control cash. – Using the same company and annual financial statements that you chose for your Week 1 (PEARSON PLC IF POSSIBLE) Reading and Using the Annual Report Case Study discussion for…

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    Assignment Prompt & Instructions

    1.
    – Discuss how management can control cash. Your discussion should include what tools management may use to control cash.
    – Using the same company and annual financial statements that you chose for your Week 1 (PEARSON PLC IF POSSIBLE) Reading and Using the Annual Report Case Study discussion forum, disclose the company’s cash balance, and discuss if you believe the company has too much or too little cash. Be sure to support your opinions with supporting facts from the financial statements.
    – Discuss management’s responsibility to establish overall basic internal controls. Provide a real-life example from a work situation where you saw basic internal controls in place.
    Your initial response should be a minimum of 200 words. one credible resource.
    2.
    You may consider using the same company and annual report that you chose for your Week 1 (PEARSON PLC IF POSSIBLE) discussion forum, Reading and Using the Annual Report Case Study. This choice will work only if the company is using the straight-line depreciation method. The company’s choice of depreciation method can be located in the notes to the financial statement in the annual report. If the company does not use this method or does not have long-term assets, you will need to choose another company. Select a company that a fellow student has not already posted.
    Using your selected company’s financial statement,
    – Calculate the average life, average age, and asset turnover ratios. Be sure to show your calculations. Discuss what each ratio tells you in the context of your chosen company.
    – Calculate the accounts receivable turnover ratio and convert that ratio into days. Be sure to show your calculations. Discuss what each ratio tells you in the context of your chosen company.
    Your initial response should be a minimum of 200 words.

  • [Solved] Assistance needed

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    Executive Solution Overview

    Assessment Description Checking for students’ understanding is a critical element of the instructional cycle. The teacher must use on-going assessments throughout the lesson, modify instruction according to the feedback (which will be explored in Topic 3), and conclude the lesson with an objective (…

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    Assignment Prompt & Instructions

    Assessment Description
    Checking for students’ understanding is a critical element of the instructional cycle. The teacher must use on-going assessments throughout the lesson, modify instruction according to the feedback (which will be explored in Topic 3), and conclude the lesson with an objective (rather than subjective) form of evidence of students’ learning.
    Using the standard and learning objectives you selected and developed from Topic 1, in a 750-1,000 word narrative, identify five assessment methods to assess student progress.
    For each of the five methods address the following:
    – Description and brief example of the method.
    – Explanation of how the method is implemented in your content area and grade level (K-8 elementary or K-12 special education).
    – Explanation of how the method assesses the standard and learning objectives from Topic 1.
    – Feedback provided to students and how it will engage students and motivate learning. Provide a specific example.
    Support your narrative with a minimum of three scholarly resources.
    Prepare this assignment according to the guidelines found in the APA Style Guide, located on the Student Success Center. An abstract is not required.
    This assignment uses a rubric. Review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
    You are required to submit this assignment to LopesWrite. A link to the LopesWrite
    \
    ESD-530Rubric-AssessmentswithinInstruction.pdf](https://www.sweetstudy.com/files/esd-530rubric-assessmentswithininstruction-pdf "ESD-530Rubric-AssessmentswithinInstruction.pdf")

  • [Solved] AI DETECT

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    SEARCH FOR AI DETECT – ## LatashaFelderThesisProposalFinal.docx **## LatashaFelderThesisProposalFinal.docx** **"Exploring the Syndemic Relationship Between Food Insecurity, Sleep Quality, and Type 2 Diabetes in Rural Georgia."** Latasha Felder MPH Research Development Summer Cohort Fort Valley State…

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    Assignment Prompt & Instructions

    SEARCH FOR AI DETECT

    – ## LatashaFelderThesisProposalFinal.docx

    **## LatashaFelderThesisProposalFinal.docx**

    **"Exploring the Syndemic Relationship Between Food Insecurity, Sleep Quality, and Type 2 Diabetes in Rural Georgia."**

    Latasha Felder

    MPH Research Development Summer Cohort

    Fort Valley State University

    September 30, 2025

    **Chapter 1: Introduction**

    A chronic illness that is becoming a bigger global public health concern is type 2 diabetes (T2D). T2D management necessitates regular access to wholesome food and restful sleep, two necessities that are frequently disturbed in marginalized communities. People have a difficult time meeting these health needs in many low-income and rural locations, like Southwest Georgia. In these communities, food insecurity which is characterized as having limited or unpredictable access to enough food is especially common and has a detrimental effect on both physical and mental health outcomes. In addition to inadequate nutrition, food insecurity raises stress levels and interferes with sleep cycles, both of which can worsen diabetic symptoms and make treatment more difficult.

    In Southwest Georgia, an area characterized by ingrained poverty, restricted access to healthcare, and health inequalities, this study aims to investigate the connection between food insecurity and sleep quality among persons with Type 2 diabetes. To produce knowledge that can direct focused public health actions, the study will examine the ways in which these socioeconomic variables interact to affect the outcomes of chronic diseases. Addressing the larger issues of diabetes prevention and control in underserved, rural communities require an understanding of the connection between poor sleep quality and limited access to food.

    **1.1 Background of the Problem**

    USDA said in 2021 that roughly 10.2% of U.S. households didn't have enough food. The CDC also said that more than 37 million Americans have T2D. Georgia has a lot of problems because 13.3% of adults there have diabetes, which is higher than the national average. In Southwest Georgia, rural areas have food insecurity rates of 11% to 16% and sometimes don't have enough healthcare facilities. People who live in these places have trouble getting healthy food, have fewer healthcare options, and are more likely to have trouble sleeping. These problems make it harder to take care of and control diabetes on your own.

    **1.2 Problem Statement**

    This study examines whether food insecurity adversely affects sleep quality, thereby exacerbating diabetes outcomes in persons with Type 2 Diabetes (T2D). Although previous studies have individually investigated the impacts of food insecurity and sleep disruptions, there is a paucity of research exploring their interaction, particularly in rural or economically poor regions. This disparity is significant as inhabitants of Southwest Georgia face elevated rates of food insecurity and diabetes. The interplay may exacerbate adverse health effects, rendering it essential to investigate the correlation between the two elements.

    **1.3 Purpose of the Study**

    This research aims to examine the correlation between food insecurity and sleep quality in persons with Type 2 Diabetes in Southwest Georgia. This study seeks to elucidate the connection to inform interventions aimed at enhancing chronic illness outcomes in rural communities. The objective is to endorse policies that mitigate health inequities and enhance public health initiatives in the most vulnerable populations. Clarifying the study's objective also focuses attention on the precise research questions and hypotheses that will steer the investigation.

    **1.4 Research Questions and Hypothesis**

    The study is guided by the following research question:

    · What is the relationship between food insecurity and sleep quality in adults with Type 2 diabetes in Southwest Georgia?

    Hypothesis: Adults with Type 2 diabetes who experience greater food insecurity will report lower sleep quality than those with more secure access to food.

    **1.5 Significance of the Study**

    This discovery holds significant ramifications for public health practice and policy. The study elucidates critical social determinants influencing health disparities by analyzing the intersection of food access, sleep quality, and chronic illness. The findings can assist local health departments, clinics, legislators, and nonprofit organizations in enhancing food security and sleep health for those with diabetes. Families impacted by T2D may also find the results beneficial for promoting enhanced community support. This research may facilitate targeted interventions, enhance equity, and elevate the quality of life in rural Georgia over the long term. Defining important terms clearly is essential for establishing the study's significance and ensuring consistent comprehension throughout the research.

    **1.6 Definition of Key Terms**

    · Food insecurity: Restricted or uncertain access to sufficient food resulting from financial or social obstacles (USDA).

    · Type 2 diabetes (T2D): A persistent metabolic disorder characterized by insulin resistance and increased blood glucose levels (CDC).

    · Sleep quality: The profundity, duration, and restorative nature of sleep, commonly assessed using instruments like the Pittsburgh Sleep Quality Index (PSQI).

    · Authenticated survey tools: Research instruments evaluated for precision and dependability, include the USDA Food Security Survey Module and the Pittsburgh Sleep Quality Index (PSQI).

    To fully contextualize this issue, it is important to review the existing body of research on food insecurity, sleep quality, and Type 2 diabetes.

    **Chapter 2: Literature Review**

    **Introduction**

    Researchers have called the relationship between food insecurity and Type 2 diabetes a "syndemic," which means that social and biological factors make each other worse. An expanding corpus of literature elucidates the intricate relationship among food insecurity, sleep quality, and Type 2 diabetes (T2D), constituting what researchers term a syndemic, wherein concurrent factors interact and exacerbate health disparities. Walker, Smalls, and Egede (2017) discovered that persons with diabetes residing in low-resource communities are far more prone to skipping meals or depending on calorie-dense, nutrient-deficient diets due to economic insecurity, hence exacerbating glycemic control. Seligman, Jacobs, and López (2012) corroborate this trend by illustrating that food insecurity in patients with T2D elevates the likelihood of inadequate HbA1c control, resulting in increased hospitalization and emergency department visit rates. These results highlight the essential need of consistent availability to nutritious food in the self-management of diabetes.

    **The Syndemic of Food Insecurity and Type 2 Diabetes**

    An expanding corpus of literature emphasizes the intricate relationship among food insecurity, sleep quality, and Type 2 diabetes (T2D), constituting what researchers term a "syndemic," wherein numerous coexisting diseases interact and exacerbate health disparities. Walker, Smalls, and Egede (2017) discovered that persons with diabetes in economically disadvantaged communities are far more prone to omit meals or depend on calorie-rich, nutrient-deficient foods, exacerbating glycemic control. This theme is substantiated by Seligman, Jacobs, and López (2012), who illustrated that food insecurity in patients with T2D elevates the risk of inadequate HbA1c control and results in increased hospitalizations and emergency room visits. These findings highlight the essential need of consistent, nutritious food access in diabetic self-management. This introduction establishes the framework for analyzing the role of sleep quality as a significant behavioral risk factor.

    **Sleep Quality as a Behavioral Risk Factor**

    In addition to dietary habits, researchers are investigating how the psychological stress associated with food insecurity affects sleep, which is increasingly acknowledged as a modifiable risk factor for chronic disease. Grandner (2017) contended that the stress stemming from uncertainty regarding the next meal can induce hyperarousal, resulting in persons remaining up at night, preoccupied with concerns about sustenance and financial matters. This chronic stress reaction interferes with sleep structure and adversely impacts metabolic health. Spiegel, Tasali, and Van Cauter (2005) corroborate his observations, demonstrating that sleep loss alone can diminish insulin sensitivity, even in healthy adults. Knutson and Van Cauter (2008) similarly shown that insufficient sleep time and subpar sleep quality independently forecast an elevated risk for insulin resistance and type 2 diabetes. Identifying sleep quality as a risk factor inherently prompts an examination of the chronic and structural influences that determine these outcomes.

    **The Role of Chronic Stress and Structural Inequity**

    Mongelli, Georgakakou-Koutsonikou, and Keenan (2020) expanded this discourse by contending that the persistent stress associated with food insecurity affects not just nutrition but also mental health and sleep, so establishing a feedback loop that sustains adverse metabolic consequences. They stressed that the problem is not only about the amount or quality of food, but also about the mental pain that comes from not knowing if you can get food. Johnson, Thomas, and Brown (2021) corroborated this viewpoint by associating environmental stresses, including hazardous areas, housing instability, and insufficient social support, with interrupted sleep and maladaptive eating practices. Their research emphasized the role of systemic structural injustices in exacerbating sleep disruptions and adversely affecting diabetes outcomes. Comprehending these structural effects offers a framework for analyzing their distinct manifestations within rural health inequalities.

    **Rural Health Disparities and the Black Belt Region**

    These findings are consistent across urban and national research; nevertheless, rural communities, especially in the Southeastern United States, are still not well represented in the literature. Feeding America (2022) said that the rate of food insecurity in rural Southwest Georgia is two to three percentage points greater than the national average. Their paper doesn't really talk about sleep quality, but it does support the idea that being poor and living in a bad area makes food insecurity worse. In 2022, the Centers for Disease Control and Prevention (CDC) said that African American individuals in Georgia are more likely to be food insecure and have type 2 diabetes (T2D), which makes things worse in rural areas. Hill, Nielsen, and Fox (2013) underscored that individuals residing in rural areas encounter distinct challenges in diabetes management, such as restricted access to healthcare services, limited transportation alternatives, and increased distances to food retailers, all of which adversely affect health outcomes and compromise sleep hygiene. Rural settings underscore significant differences, although the research presents contradictory findings that necessitates reconciliation.

    **Conflicting Evidence and Nuanced Findings**

    Berkowitz, Meigs, and Wexler (2018) established the correlation between food insecurity and inadequate diabetes management, although observed that interventions targeting only food access may not completely address the fundamental health inequities. They advocated for comprehensive programs that tackle both behavioral health and environmental obstacles. Conversely, Nelson et al. (2020) discovered that although food pantry utilization enhanced fruit and vegetable intake in low-income households, it did not lead to improved glycemic indicators in individuals with diabetes, indicating that dietary interventions must also consider psychosocial stress and lifestyle factors such as sleep and physical activity. Research on sleep corroborates this comprehensive perspective. Patel et al. (2015) investigated more than 1,400 adults with type 2 diabetes and identified conflicting associations between sleep duration and glycemic control after adjusting for confounding variables, including medication adherence and physical activity. The conflicting results suggest that although sleep is a significant variable, its impact on diabetes outcomes is affected by other interacting factors. Summary of Key Findings and Gaps While these findings provide valuable insights, they also highlight areas where significant gaps remain, particularly in relation to rural and underserved populations.

    Collectively, this research repeatedly underscores the adverse effects of food insecurity and inadequate sleep on diabetes treatment. Nonetheless, they also reveal significant deficiencies. Much research relies on metropolitan or national databases, frequently neglecting rural areas such as Georgia’s Black Belt, where African American adults encounter systemic health challenges. Furthermore, the interplay between food insecurity and inadequate sleep is never examined concurrently in rural populations, resulting in a notable deficiency in comprehending how these elements coalesce and influence chronic disease inequalities. This study seeks to address a significant gap by examining the correlation between food insecurity and sleep quality in adults with T2D in Southwest Georgia, thereby enhancing the comprehension of chronic disease disparities and guiding more focused public health initiatives. These findings offer helpful insights but also underscore substantial gaps, especially with rural and marginalized communities.

    **Gap in Literature**

    Even while more people are looking at how food insecurity and sleep problems affect chronic disease, not much study has been done on how these two things work together to make diabetes control harder, especially in rural areas. Many current research concentrates on urban populations or utilize national datasets, thus neglecting the distinct social, economic, and geographic obstacles encountered by persons with Type 2 diabetes in rural Southwest Georgia. Moreover, whereas food insecurity has been correlated with unhealthy dietary practices and psychological distress, and inadequate sleep has been connected to insulin resistance and glucose instability, limited research investigates the cumulative consequences of both stressors in at-risk populations. The rural Black Belt region, characterized by disproportionately elevated incidence of diabetes, poverty, and restricted healthcare access, remains markedly underrepresented in the existing literature. This study seeks to address a significant gap by examining the correlation between food insecurity and sleep quality in adults with T2D in Southwest Georgia, thereby enhancing the comprehension of chronic disease disparities and guiding more focused public health initiatives. To fill this gap, we need a well-planned study that can capture the distinctive experiences of rural communities. The following methodology explains how this will be done.

    **Theoretical Framework**

    This research is informed by two interconnected frameworks: the Social Determinants of Health (SDOH) and Syndemic Theory. Collectively, these frameworks offer a perspective for comprehending the interplay of structural, social, and biological elements that influence health outcomes in patients with Type 2 diabetes in rural Georgia. The SDOH paradigm highlights the impact of non-medical determinants, including food accessibility, socioeconomic position, and geographic location, on overall health and well-being. Food insecurity, a significant social determinant, directly impacts nutritional quality and indirectly affects sleep quality by increasing stress and restricting coping resources. In rural communities, these characteristics are exacerbated by obstacles to healthcare access and insufficient community resources.

    Syndemic Theory further elucidates the interactions of co-occurring disorders within a community that amplify disease burden. Within the framework of this investigation, food insecurity and suboptimal sleep quality do not function independently; instead, they cooperate synergistically to exacerbate the risk and progression of Type 2 diabetes. This approach emphasizes the necessity of tackling interrelated health and social concerns concurrently rather than separately. This study utilizes both Social Determinants of Health (SDOH) and Syndemic Theory to acknowledge the complex factors contributing to health disparities in rural Georgia. These frameworks not only help us understand the results, but they also affect the way we undertake research, making sure that theory and practice are in sync.

    ![A diagram of health and social determinants of health AI-generated content may be incorrect.](https://www.sweetstudy.com/questions/ai-detect)

    **Chapter 3: Methodology**

    This study employs a cross-sectional, quantitative approach to investigate the correlation between food insecurity and sleep quality in persons with Type 2 diabetes in Southwest Georgia. A cross-sectional technique gathers data at one moment in time, which makes it possible to find connections between important factors. This approach is suitable considering the study's objective of examining correlations rather than determining causality.

    **3.2 Study Population and Setting**

    The study population comprises persons aged 18 and above who have received a clinical diagnosis of Type 2 diabetes and currently inhabit Southwest Georgia. Participants will be recruited via purposive sampling, focusing on persons from local clinics, community health organizations, and diabetic support groups, including the Phoebe Putney Memorial Hospital diabetic Resource Center and the Southwest Georgia Area Health Education Center (SOWEGA AHEC). The eligibility criteria encompass proficiency in reading and comprehending English, as well as the ability to furnish informed consent. Establishing the research population forms the foundation for choosing suitable instruments to gather valid and reliable data.

    **3.3 Data Collection Instruments**

    Two validated survey instruments will be used:

    · USDA Six-Item Short Form Food Security Survey Module: Assesses food security status, categorizing households as food secure, low food security, or very low food security.

    · Pittsburgh Sleep Quality Index (PSQI): Measures sleep quality over the past month, generating a global score where higher values indicate poorer sleep.

    In addition, participants will complete a brief demographic questionnaire to capture age, gender, education, income, and length of diabetes diagnosis.

    **3.4 Data Collection Procedures**

    Participants will have the option to complete the survey electronically via Qualtrics or in person using paper forms, contingent upon accessibility and individual desire. Before taking part, people will have to give their informed consent. The clinics and community partners will work together to collect data over the course of two months.

    **3.5 Data Analysis Plan**

    After data collection is finished, descriptive statistics will be utilized to sum up the survey results and demographic information. The study will employ Pearson's correlation to investigate the relationship between food insecurity and sleep quality scores. A multiple regression analysis will also be conducted to ascertain if food insecurity significantly predicts sleep quality. We will use SPSS to analyze the data. Choosing the right ways to analyze the data also shows how important it is to follow ethical guidelines during the whole study process.

    **3.6 Ethical Considerations**

    This study will adhere to ethical standards for human subject’s research. Participants will be informed about the purpose of the study, their right to withdraw at any time, and assurances of confidentiality. No identifying information will be linked to survey responses. Data will be stored securely with access limited to the research team. An application will be submitted to the Institutional Review Board (IRB) at Fort Valley State University for approval before data collection begins.

    **Conclusion**

    This thesis proposal tackles a significant deficiency in existing research by investigating the interplay between food insecurity and sleep quality and their impact on health outcomes in persons with Type 2 diabetes in rural Southwest Georgia. The evidence indicates that food insecurity leads to inadequate nutrition and heightened stress, as well as disturbed sleep, both of which impair the management of diabetes. This study utilizes a syndemic paradigm to underscore the interrelatedness of these difficulties and the necessity of simultaneous intervention. The findings of this research may contribute to public health initiatives, assist healthcare providers in customizing diabetes management, and bolster policies that enhance food accessibility and encourage sleep health. The study's goal is to enhance quality of life and diminish health inequalities among persons disproportionately impacted by chronic disease in underserved rural regions.

    **References**

    American Diabetes Association. (2022). Standards of medical care in diabetes 2022. https://doi. org/10.2337/dc22

    Berkowitz, S. A., Meigs, J. B., & Wexler, D. J. (2018). Food insecurity, cost-related medication underuse, and unmet needs for care: Results from the National Health Interview Survey. American Journal of Medicine, 131(4), 401–407. https://doi. org/10.1016/j. amjmed.2017.11.036

    Buysse, D. J., Reynolds, C. F., Monk, T. H., Berman, S. R., & Kupfer, D. J. (1989). The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Research, 28(2), 193-213.

    Centers for Disease Control and Prevention. (2022). National Diabetes Statistics Report 2022. https://www. cdc. gov/diabetes/data/statistics-report/index. html

    Feeding America. (2022). Map the meal gap: Food insecurity in Georgia. https://map. feedingamerica. org/

    Grandner, M. A. (2017). Sleep, health, and society. Sleep Health, 3(6), 413–414. https://doi. org/10.1016/j. sleh.2017.10.003

    Hill, J. O., Nielsen, K. M., & Fox, M. A. (2013). Health disparities in rural America. Annual Review of Public Health, 34, 203–221. https://doi. org/10.1146/annurev-publhealth-031912-114938

    Johnson, D. A., Thomas, S. J., & Brown, T. H. (2021). Sleep disparities in the U. S.: An overlooked public health concern. Annual Review of Public Health, 42, 81–99. https://doi. org/10.1146/annurev-publhealth-090419-102522

    Knutson, K. L., & Van Cauter, E. (2008). Associations between sleep loss and increased risk of obesity and diabetes. Annals of the New York Academy of Sciences, 1129(1), 287–304. https://doi. org/10.1196/annals.1417.033

    Mongelli, F., Georgakakou-Koutsonikou, N., & Keenan, K. (2020). The double burden of food insecurity and mental health: Pathways and potential targets. Appetite, 150, 104646. https://doi. org/10.1016/j. appet.2020.104646

    Nelson, B. W., Phillips, A., & Derry, H. (2020). Food pantry utilization and dietary intake among adults with diabetes: A randomized pilot study. Journal of Nutrition Education and Behavior, 52(2), 124–130. https://doi. org/10.1016/j. jneb.2019.09.002

    Patel, S. R., Malhotra, A., White, D. P., Gottlieb, D. J., & Hu, F. B. (2015). Association between reduced sleep and weight gain in women. American Journal of Epidemiology, 164(10), 947–954. https://doi. org/10.1093/aje/kwj280

    Seligman, H. K., Jacobs, E. A., & López, A. (2012). Food insecurity and glycemic control among low-income patients with type 2 diabetes. Diabetes Care, 35(2), 233–238. https://doi. org/10.2337/dc11-1627

    Spiegel, K., Tasali, E., & Van Cauter, E. (2005). Sleep and metabolic function. PLOS Medicine, 2(8), e62. https://doi. org/10.1371/journal. pmed.0020062

    U. S. Department of Agriculture. (2012). U. S. Household Food Security Survey Module: Six-Item Short Form. https://www. ers. usda. gov/media/8279/short2012. pdf

    Walker, R. J., Smalls, B. L., & Egede, L. E. (2017). Food insecurity and glycemic control in individuals with diabetes: A systematic review and meta-analysis. Primary Care Diabetes, 11(5), 389–396. https://doi. org/10.1016/j. pcd.2017.04.001

    ## image1.png

    **## LatashaFelderThesisProposalFinal.docx**

    **"Exploring the Syndemic Relationship Between Food Insecurity, Sleep Quality, and Type 2 Diabetes in Rural Georgia."**

    Latasha Felder

    MPH Research Development Summer Cohort

    Fort Valley State University

    September 30, 2025

    **Chapter 1: Introduction**

    A chronic illness that is becoming a bigger global public health concern is type 2 diabetes (T2D). T2D management necessitates regular access to wholesome food and restful sleep, two necessities that are frequently disturbed in marginalized communities. People have a difficult time meeting these health needs in many low-income and rural locations, like Southwest Georgia. In these communities, food insecurity which is characterized as having limited or unpredictable access to enough food is especially common and has a detrimental effect on both physical and mental health outcomes. In addition to inadequate nutrition, food insecurity raises stress levels and interferes with sleep cycles, both of which can worsen diabetic symptoms and make treatment more difficult.

    In Southwest Georgia, an area characterized by ingrained poverty, restricted access to healthcare, and health inequalities, this study aims to investigate the connection between food insecurity and sleep quality among persons with Type 2 diabetes. To produce knowledge that can direct focused public health actions, the study will examine the ways in which these socioeconomic variables interact to affect the outcomes of chronic diseases. Addressing the larger issues of diabetes prevention and control in underserved, rural communities require an understanding of the connection between poor sleep quality and limited access to food.

    **1.1 Background of the Problem**

    USDA said in 2021 that roughly 10.2% of U.S. households didn't have enough food. The CDC also said that more than 37 million Americans have T2D. Georgia has a lot of problems because 13.3% of adults there have diabetes, which is higher than the national average. In Southwest Georgia, rural areas have food insecurity rates of 11% to 16% and sometimes don't have enough healthcare facilities. People who live in these places have trouble getting healthy food, have fewer healthcare options, and are more likely to have trouble sleeping. These problems make it harder to take care of and control diabetes on your own.

    **1.2 Problem Statement**

    This study examines whether food insecurity adversely affects sleep quality, thereby exacerbating diabetes outcomes in persons with Type 2 Diabetes (T2D). Although previous studies have individually investigated the impacts of food insecurity and sleep disruptions, there is a paucity of research exploring their interaction, particularly in rural or economically poor regions. This disparity is significant as inhabitants of Southwest Georgia face elevated rates of food insecurity and diabetes. The interplay may exacerbate adverse health effects, rendering it essential to investigate the correlation between the two elements.

    **1.3 Purpose of the Study**

    This research aims to examine the correlation between food insecurity and sleep quality in persons with Type 2 Diabetes in Southwest Georgia. This study seeks to elucidate the connection to inform interventions aimed at enhancing chronic illness outcomes in rural communities. The objective is to endorse policies that mitigate health inequities and enhance public health initiatives in the most vulnerable populations. Clarifying the study's objective also focuses attention on the precise research questions and hypotheses that will steer the investigation.

    **1.4 Research Questions and Hypothesis**

    The study is guided by the following research question:

    · What is the relationship between food insecurity and sleep quality in adults with Type 2 diabetes in Southwest Georgia?

    Hypothesis: Adults with Type 2 diabetes who experience greater food insecurity will report lower sleep quality than those with more secure access to food.

    **1.5 Significance of the Study**

    This discovery holds significant ramifications for public health practice and policy. The study elucidates critical social determinants influencing health disparities by analyzing the intersection of food access, sleep quality, and chronic illness. The findings can assist local health departments, clinics, legislators, and nonprofit organizations in enhancing food security and sleep health for those with diabetes. Families impacted by T2D may also find the results beneficial for promoting enhanced community support. This research may facilitate targeted interventions, enhance equity, and elevate the quality of life in rural Georgia over the long term. Defining important terms clearly is essential for establishing the study's significance and ensuring consistent comprehension throughout the research.

    **1.6 Definition of Key Terms**

    · Food insecurity: Restricted or uncertain access to sufficient food resulting from financial or social obstacles (USDA).

    · Type 2 diabetes (T2D): A persistent metabolic disorder characterized by insulin resistance and increased blood glucose levels (CDC).

    · Sleep quality: The profundity, duration, and restorative nature of sleep, commonly assessed using instruments like the Pittsburgh Sleep Quality Index (PSQI).

    · Authenticated survey tools: Research instruments evaluated for precision and dependability, include the USDA Food Security Survey Module and the Pittsburgh Sleep Quality Index (PSQI).

    To fully contextualize this issue, it is important to review the existing body of research on food insecurity, sleep quality, and Type 2 diabetes.

    **Chapter 2: Literature Review**

    **Introduction**

    Researchers have called the relationship between food insecurity and Type 2 diabetes a "syndemic," which means that social and biological factors make each other worse. An expanding corpus of literature elucidates the intricate relationship among food insecurity, sleep quality, and Type 2 diabetes (T2D), constituting what researchers term a syndemic, wherein concurrent factors interact and exacerbate health disparities. Walker, Smalls, and Egede (2017) discovered that persons with diabetes residing in low-resource communities are far more prone to skipping meals or depending on calorie-dense, nutrient-deficient diets due to economic insecurity, hence exacerbating glycemic control. Seligman, Jacobs, and López (2012) corroborate this trend by illustrating that food insecurity in patients with T2D elevates the likelihood of inadequate HbA1c control, resulting in increased hospitalization and emergency department visit rates. These results highlight the essential need of consistent availability to nutritious food in the self-management of diabetes.

    **The Syndemic of Food Insecurity and Type 2 Diabetes**

    An expanding corpus of literature emphasizes the intricate relationship among food insecurity, sleep quality, and Type 2 diabetes (T2D), constituting what researchers term a "syndemic," wherein numerous coexisting diseases interact and exacerbate health disparities. Walker, Smalls, and Egede (2017) discovered that persons with diabetes in economically disadvantaged communities are far more prone to omit meals or depend on calorie-rich, nutrient-deficient foods, exacerbating glycemic control. This theme is substantiated by Seligman, Jacobs, and López (2012), who illustrated that food insecurity in patients with T2D elevates the risk of inadequate HbA1c control and results in increased hospitalizations and emergency room visits. These findings highlight the essential need of consistent, nutritious food access in diabetic self-management. This introduction establishes the framework for analyzing the role of sleep quality as a significant behavioral risk factor.

    **Sleep Quality as a Behavioral Risk Factor**

    In addition to dietary habits, researchers are investigating how the psychological stress associated with food insecurity affects sleep, which is increasingly acknowledged as a modifiable risk factor for chronic disease. Grandner (2017) contended that the stress stemming from uncertainty regarding the next meal can induce hyperarousal, resulting in persons remaining up at night, preoccupied with concerns about sustenance and financial matters. This chronic stress reaction interferes with sleep structure and adversely impacts metabolic health. Spiegel, Tasali, and Van Cauter (2005) corroborate his observations, demonstrating that sleep loss alone can diminish insulin sensitivity, even in healthy adults. Knutson and Van Cauter (2008) similarly shown that insufficient sleep time and subpar sleep quality independently forecast an elevated risk for insulin resistance and type 2 diabetes. Identifying sleep quality as a risk factor inherently prompts an examination of the chronic and structural influences that determine these outcomes.

    **The Role of Chronic Stress and Structural Inequity**

    Mongelli, Georgakakou-Koutsonikou, and Keenan (2020) expanded this discourse by contending that the persistent stress associated with food insecurity affects not just nutrition but also mental health and sleep, so establishing a feedback loop that sustains adverse metabolic consequences. They stressed that the problem is not only about the amount or quality of food, but also about the mental pain that comes from not knowing if you can get food. Johnson, Thomas, and Brown (2021) corroborated this viewpoint by associating environmental stresses, including hazardous areas, housing instability, and insufficient social support, with interrupted sleep and maladaptive eating practices. Their research emphasized the role of systemic structural injustices in exacerbating sleep disruptions and adversely affecting diabetes outcomes. Comprehending these structural effects offers a framework for analyzing their distinct manifestations within rural health inequalities.

    **Rural Health Disparities and the Black Belt Region**

    These findings are consistent across urban and national research; nevertheless, rural communities, especially in the Southeastern United States, are still not well represented in the literature. Feeding America (2022) said that the rate of food insecurity in rural Southwest Georgia is two to three percentage points greater than the national average. Their paper doesn't really talk about sleep quality, but it does support the idea that being poor and living in a bad area makes food insecurity worse. In 2022, the Centers for Disease Control and Prevention (CDC) said that African American individuals in Georgia are more likely to be food insecure and have type 2 diabetes (T2D), which makes things worse in rural areas. Hill, Nielsen, and Fox (2013) underscored that individuals residing in rural areas encounter distinct challenges in diabetes management, such as restricted access to healthcare services, limited transportation alternatives, and increased distances to food retailers, all of which adversely affect health outcomes and compromise sleep hygiene. Rural settings underscore significant differences, although the research presents contradictory findings that necessitates reconciliation.

    **Conflicting Evidence and Nuanced Findings**

    Berkowitz, Meigs, and Wexler (2018) established the correlation between food insecurity and inadequate diabetes management, although observed that interventions targeting only food access may not completely address the fundamental health inequities. They advocated for comprehensive programs that tackle both behavioral health and environmental obstacles. Conversely, Nelson et al. (2020) discovered that although food pantry utilization enhanced fruit and vegetable intake in low-income households, it did not lead to improved glycemic indicators in individuals with diabetes, indicating that dietary interventions must also consider psychosocial stress and lifestyle factors such as sleep and physical activity. Research on sleep corroborates this comprehensive perspective. Patel et al. (2015) investigated more than 1,400 adults with type 2 diabetes and identified conflicting associations between sleep duration and glycemic control after adjusting for confounding variables, including medication adherence and physical activity. The conflicting results suggest that although sleep is a significant variable, its impact on diabetes outcomes is affected by other interacting factors. Summary of Key Findings and Gaps While these findings provide valuable insights, they also highlight areas where significant gaps remain, particularly in relation to rural and underserved populations.

    Collectively, this research repeatedly underscores the adverse effects of food insecurity and inadequate sleep on diabetes treatment. Nonetheless, they also reveal significant deficiencies. Much research relies on metropolitan or national databases, frequently neglecting rural areas such as Georgia’s Black Belt, where African American adults encounter systemic health challenges. Furthermore, the interplay between food insecurity and inadequate sleep is never examined concurrently in rural populations, resulting in a notable deficiency in comprehending how these elements coalesce and influence chronic disease inequalities. This study seeks to address a significant gap by examining the correlation between food insecurity and sleep quality in adults with T2D in Southwest Georgia, thereby enhancing the comprehension of chronic disease disparities and guiding more focused public health initiatives. These findings offer helpful insights but also underscore substantial gaps, especially with rural and marginalized communities.

    **Gap in Literature**

    Even while more people are looking at how food insecurity and sleep problems affect chronic disease, not much study has been done on how these two things work together to make diabetes control harder, especially in rural areas. Many current research concentrates on urban populations or utilize national datasets, thus neglecting the distinct social, economic, and geographic obstacles encountered by persons with Type 2 diabetes in rural Southwest Georgia. Moreover, whereas food insecurity has been correlated with unhealthy dietary practices and psychological distress, and inadequate sleep has been connected to insulin resistance and glucose instability, limited research investigates the cumulative consequences of both stressors in at-risk populations. The rural Black Belt region, characterized by disproportionately elevated incidence of diabetes, poverty, and restricted healthcare access, remains markedly underrepresented in the existing literature. This study seeks to address a significant gap by examining the correlation between food insecurity and sleep quality in adults with T2D in Southwest Georgia, thereby enhancing the comprehension of chronic disease disparities and guiding more focused public health initiatives. To fill this gap, we need a well-planned study that can capture the distinctive experiences of rural communities. The following methodology explains how this will be done.

    **Theoretical Framework**

    This research is informed by two interconnected frameworks: the Social Determinants of Health (SDOH) and Syndemic Theory. Collectively, these frameworks offer a perspective for comprehending the interplay of structural, social, and biological elements that influence health outcomes in patients with Type 2 diabetes in rural Georgia. The SDOH paradigm highlights the impact of non-medical determinants, including food accessibility, socioeconomic position, and geographic location, on overall health and well-being. Food insecurity, a significant social determinant, directly impacts nutritional quality and indirectly affects sleep quality by increasing stress and restricting coping resources. In rural communities, these characteristics are exacerbated by obstacles to healthcare access and insufficient community resources.

    Syndemic Theory further elucidates the interactions of co-occurring disorders within a community that amplify disease burden. Within the framework of this investigation, food insecurity and suboptimal sleep quality do not function independently; instead, they cooperate synergistically to exacerbate the risk and progression of Type 2 diabetes. This approach emphasizes the necessity of tackling interrelated health and social concerns concurrently rather than separately. This study utilizes both Social Determinants of Health (SDOH) and Syndemic Theory to acknowledge the complex factors contributing to health disparities in rural Georgia. These frameworks not only help us understand the results, but they also affect the way we undertake research, making sure that theory and practice are in sync.

    ![A diagram of health and social determinants of health AI-generated content may be incorrect.](https://www.sweetstudy.com/questions/ai-detect)

    **Chapter 3: Methodology**

    This study employs a cross-sectional, quantitative approach to investigate the correlation between food insecurity and sleep quality in persons with Type 2 diabetes in Southwest Georgia. A cross-sectional technique gathers data at one moment in time, which makes it possible to find connections between important factors. This approach is suitable considering the study's objective of examining correlations rather than determining causality.

    **3.2 Study Population and Setting**

    The study population comprises persons aged 18 and above who have received a clinical diagnosis of Type 2 diabetes and currently inhabit Southwest Georgia. Participants will be recruited via purposive sampling, focusing on persons from local clinics, community health organizations, and diabetic support groups, including the Phoebe Putney Memorial Hospital diabetic Resource Center and the Southwest Georgia Area Health Education Center (SOWEGA AHEC). The eligibility criteria encompass proficiency in reading and comprehending English, as well as the ability to furnish informed consent. Establishing the research population forms the foundation for choosing suitable instruments to gather valid and reliable data.

    **3.3 Data Collection Instruments**

    Two validated survey instruments will be used:

    · USDA Six-Item Short Form Food Security Survey Module: Assesses food security status, categorizing households as food secure, low food security, or very low food security.

    · Pittsburgh Sleep Quality Index (PSQI): Measures sleep quality over the past month, generating a global score where higher values indicate poorer sleep.

    In addition, participants will complete a brief demographic questionnaire to capture age, gender, education, income, and length of diabetes diagnosis.

    **3.4 Data Collection Procedures**

    Participants will have the option to complete the survey electronically via Qualtrics or in person using paper forms, contingent upon accessibility and individual desire. Before taking part, people will have to give their informed consent. The clinics and community partners will work together to collect data over the course of two months.

    **3.5 Data Analysis Plan**

    After data collection is finished, descriptive statistics will be utilized to sum up the survey results and demographic information. The study will employ Pearson's correlation to investigate the relationship between food insecurity and sleep quality scores. A multiple regression analysis will also be conducted to ascertain if food insecurity significantly predicts sleep quality. We will use SPSS to analyze the data. Choosing the right ways to analyze the data also shows how important it is to follow ethical guidelines during the whole study process.

    **3.6 Ethical Considerations**

    This study will adhere to ethical standards for human subject’s research. Participants will be informed about the purpose of the study, their right to withdraw at any time, and assurances of confidentiality. No identifying information will be linked to survey responses. Data will be stored securely with access limited to the research team. An application will be submitted to the Institutional Review Board (IRB) at Fort Valley State University for approval before data collection begins.

    **Conclusion**

    This thesis proposal tackles a significant deficiency in existing research by investigating the interplay between food insecurity and sleep quality and their impact on health outcomes in persons with Type 2 diabetes in rural Southwest Georgia. The evidence indicates that food insecurity leads to inadequate nutrition and heightened stress, as well as disturbed sleep, both of which impair the management of diabetes. This study utilizes a syndemic paradigm to underscore the interrelatedness of these difficulties and the necessity of simultaneous intervention. The findings of this research may contribute to public health initiatives, assist healthcare providers in customizing diabetes management, and bolster policies that enhance food accessibility and encourage sleep health. The study's goal is to enhance quality of life and diminish health inequalities among persons disproportionately impacted by chronic disease in underserved rural regions.

    **References**

    American Diabetes Association. (2022). Standards of medical care in diabetes 2022. https://doi. org/10.2337/dc22

    Berkowitz, S. A., Meigs, J. B., & Wexler, D. J. (2018). Food insecurity, cost-related medication underuse, and unmet needs for care: Results from the National Health Interview Survey. American Journal of Medicine, 131(4), 401–407. https://doi. org/10.1016/j. amjmed.2017.11.036

    Buysse, D. J., Reynolds, C. F., Monk, T. H., Berman, S. R., & Kupfer, D. J. (1989). The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Research, 28(2), 193-213.

    Centers for Disease Control and Prevention. (2022). National Diabetes Statistics Report 2022. https://www. cdc. gov/diabetes/data/statistics-report/index. html

    Feeding America. (2022). Map the meal gap: Food insecurity in Georgia. https://map. feedingamerica. org/

    Grandner, M. A. (2017). Sleep, health, and society. Sleep Health, 3(6), 413–414. https://doi. org/10.1016/j. sleh.2017.10.003

    Hill, J. O., Nielsen, K. M., & Fox, M. A. (2013). Health disparities in rural America. Annual Review of Public Health, 34, 203–221. https://doi. org/10.1146/annurev-publhealth-031912-114938

    Johnson, D. A., Thomas, S. J., & Brown, T. H. (2021). Sleep disparities in the U. S.: An overlooked public health concern. Annual Review of Public Health, 42, 81–99. https://doi. org/10.1146/annurev-publhealth-090419-102522

    Knutson, K. L., & Van Cauter, E. (2008). Associations between sleep loss and increased risk of obesity and diabetes. Annals of the New York Academy of Sciences, 1129(1), 287–304. https://doi. org/10.1196/annals.1417.033

    Mongelli, F., Georgakakou-Koutsonikou, N., & Keenan, K. (2020). The double burden of food insecurity and mental health: Pathways and potential targets. Appetite, 150, 104646. https://doi. org/10.1016/j. appet.2020.104646

    Nelson, B. W., Phillips, A., & Derry, H. (2020). Food pantry utilization and dietary intake among adults with diabetes: A randomized pilot study. Journal of Nutrition Education and Behavior, 52(2), 124–130. https://doi. org/10.1016/j. jneb.2019.09.002

    Patel, S. R., Malhotra, A., White, D. P., Gottlieb, D. J., & Hu, F. B. (2015). Association between reduced sleep and weight gain in women. American Journal of Epidemiology, 164(10), 947–954. https://doi. org/10.1093/aje/kwj280

    Seligman, H. K., Jacobs, E. A., & López, A. (2012). Food insecurity and glycemic control among low-income patients with type 2 diabetes. Diabetes Care, 35(2), 233–238. https://doi. org/10.2337/dc11-1627

    Spiegel, K., Tasali, E., & Van Cauter, E. (2005). Sleep and metabolic function. PLOS Medicine, 2(8), e62. https://doi. org/10.1371/journal. pmed.0020062

    U. S. Department of Agriculture. (2012). U. S. Household Food Security Survey Module: Six-Item Short Form. https://www. ers. usda. gov/media/8279/short2012. pdf

    Walker, R. J., Smalls, B. L., & Egede, L. E. (2017). Food insecurity and glycemic control in individuals with diabetes: A systematic review and meta-analysis. Primary Care Diabetes, 11(5), 389–396. https://doi. org/10.1016/j. pcd.2017.04.001

    ## image1.png

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    APA Format Please view attachment!!! \ Discussion3.1.jpg](https://www.sweetstudy.com/files/discussion3-1-jpg "Discussion3.1.jpg") \ Discussion3.2.jpg](https://www.sweetstudy.com/files/discussion3-2-jpg "Discussion3.2.jpg")

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    See two attachments – ## Assignment.pdf – ## Article.pdf **## Assignment.pdf** Use the article attached to answer the 4 questions below: 1. Based on the article, "Going Native: Potential Sources of Observer Bias in Police Observational Data,", why is "going native" a threat to researchers who study…

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    See two attachments

    – ## Assignment.pdf

    – ## Article.pdf

    **## Assignment.pdf**

    Use the article attached to answer the 4 questions below:

    1. Based on the article, "Going Native: Potential Sources of Observer Bias in Police
    Observational Data,", why is "going native" a threat to researchers who study police
    officers?

    2. Given the information included in this article, what steps might a researcher take to
    avoid going native in criminal justice research?

    3. What precautions might be used to protect against "going native" in criminal justice
    law enforcement research?

    4. Consider one of the following areas of criminal justice research: prisons, gangs, and
    drug addicts. How might the process of "going native" be mitigated in participant
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    **## Article.pdf**

    22 Chapter 1 • Introduction

    Exercise 1.3 Going Native

    Going native:

    POTENTIAL SOURCES OF OBSERVER BIAS iN POLICE OBSERVATIONAL DATA

    Richard Spww'

    Social Science Research, Vot . 34, pi'. 591-617,1urx 2004.

    Abstract Much of our knowledge about police behavior "on the street" is based on in-person ob-
    servation of the police. However, little research has examined how the observers can potentially bias obser-
    vational data. In this paper, anecdotal accounts from a variety of field settings are categorized into four
    potential sources of observer bias. Secondary analyses of data from a large-scale observational study of po-
    lice are used to assess the impact of three out of the four types o£ observer bias (reactivity, going native, and
    burnout). There is evidence of reactivity for arrest, but not use of force behavior and little support for going
    native and burnout. More generally, observer bias is categorized as: (1) threats to the validity of observa-
    tional data collected at different stages of fieldwork; and (2) the potential for human error implicit in obser-
    vational data. The incorporation of a semi-structured field diary is suggested to more systematically
    document all four types of observer bias in future research.

    I. INTRODUCTION

    Since the discovery of police discretion, researchers have recognized the potential for bias, inequities, and
    prejudice in the application of the law by the police (Walker, 1992). Police researchers have documented the
    limitations of organizational controls on police behavior "on the street" as well as the factors that influence
    the behavior of beat officers (Reuss-Ianni, 1993). There is also a growing appreciation for the role of field
    research and observational data in the study of discretionary decision-making given the limitations of other
    sources of information on police behavior.

    Police observational data have strengthened our understanding of the determinants of police be-
    havior by examining explanatory variables that encompass multiple units of analysis (e.g., officer and or-
    ganizational characteristics) (Mastrofski and Parks, 1990). For example, police researchers have
    observed officer behavior during encounters with citizens and found that police behavior is strongly in-
    fluenced by the structural characteristics of the situation or "situational factors" such as the nature of the
    problem, the characteristics and behavior of involved citizens, and the location of the encounter (Riksheim
    and Chermak, 1993).

    In short, simply "being there" gives the researcher access to events, aspects of police behavior, and sit-
    uational dynamics not recorded in police reports and arrest records (Emerson, 2002a, p. 2; Ferrell, 1998, p.
    27). However, some researchers categorize field research as a "marginal methodology" that produces data of
    questionable quality (benzin and Lincoln, 2000; Goodwin and Horowitz, 2002). The most serious challenge
    centers on the concept of observer bias. Since the observer is part of the context of observed behavior, ob-
    servers can potentially "bias" or contaminate observational data and undermine its reliability and validity
    (Tedlock,1991).

    The purpose of this study is to identify potential sources of observer bias and to conduct a limited test
    of its impact on police observational data. Specific research questions will be developed utilizing concepts
    derived from the extant literature to operationalize three out of four types of observer bias (reactivity, cul-
    ture shock, and burnout) and assess its impact on POPN observational data.

    2. FOUR TYPES OF OBSERVER BIAS

    2.1. Reactivity

    One common criticism of observational data is that research subjects may react to the presence of an ob-
    server by changing his or her behavior. [Note: This section has been omitted.]

    2.2. Culture Shock

    Immersion into an alien environment can be an intense and unsettling experience (Emerson, 2002b). Cul-
    ture shock refers to feelings of disorientation and anxiety that observers feel during the early stages of field
    research (see DeWalt and DeWalt, 2002, for a review). [Note. This section has been omitted.]

    3Fax: 1-205-348-7178. E-mail address: rspano@bama.ua.edu
    0049-089X/$—see front matter. 2004 Elsevier Inc. All rights reserved.
    doi:10.1016/j.ssresearch.2004.05.003

    i

    Chapter 1 • Introduction 23

    2.3. Going Native

    Gans (1982) argued that observers become sympathetic toward individuals under study for a number of ma-

    sons. One reason is that observers and research subjects work together in close quarters over the course of

    fieldwork. A natural consequence of the observer's task is a more sympathetic outlook toward individuals un-
    der observation. A second reason is that researchers feel a pull toward increased involvement while collecting
    observational data (see Adler and Adler, 1987, for an overview). Palmer and Emerson (2002) argued that re
    search subjects could use observers as an assistant and a resource while conducting their work. This level of
    involvement can range from innocuous requests for observers to act as a "go-fer" to participation in more crit-
    ical activities. For example, while studying drug dealers, Adler (1985) loaned drug dealers money, watched
    their children for extended periods of time, testified in court on their behalf, and allowed them to conduct drug
    deals in Aler's home. While observing police officers, Norris (1993) not only made tea for the shift, but also
    helped to chase and arrest suspects and administered first aid following suicide attempts. Since he did not look
    like a police officer, Skolnick (1966) aided police by walking into a bar to find a dangerous armed robber.
    Skolnick also helped some officers get past a lookout by driving a disguised truck up to a building.

    A more general concern is that observing research subjects in their natural settings has the potential to re-
    socialize the researcher. This process of resocialization has been described as "overapport" and conceptualized
    as the problem of "going native," since observers lose sight of their role as a researcher and, in extreme cases,
    begin to think of themselves as members of the group under study. Observers may become involved as partici-
    pants and systematically influence the phenomenon under study (Manning, 1976; Pollner and Emerson, 2002).
    Reiss (1968, pp. 365-366) described one instance of observer socialivation that occurred during an observa-
    tional study of police. In aprecinct located in a high crime area populated predominantly by African-Americans,
    a common practice in the stationhouse was to walk down the row of cells and flush the toilets when an inmate
    asked for water. One evening, an inmate asked for water and an observer imitated the officers by walking down
    the cellblock and flushing the toilets. On his last shift, one officer asked the observer what he learned over the
    summer. The observer shocked a fellow observer by replying "I learned to hate niggers." In extreme cases, ob-
    servers could transfer their loyalty to research subjects, completely abandon data collection, and refuse to return
    from the field. Anthropologists who have gone native have stopped publishing material completely, rejected ac-
    ademia, and decided to live with indigenous people who were the topic of inquiry (Gronewold,1972).

    2.4. Burnout

    Burnout refers to inaccurate documentation of observational data at later stages of fieldwork due to the
    mentally and physically demanding nature of data collection (Fine, 1993; Lofland and Lofland, 1995).
    [Note: This section has been omitted.]

    3. DATA

    This study utih7es POPN observational data of patrol officers collected in Indianapolis and St. Petersburg dur-
    ing the summers of 1996 and 1997, respectively. Shifts were selected for observation based on time of day and
    day of the week, but busier days (Thursday through Saturday) were oversampled to maximize the number of
    police-citizen encounters. Observers rode with patrol officers in 12 of Indianapolis's 50 patrol beats and 12 of
    St. Petersburg's 48 patrol beats. Beats in both sites were selected to capture variation in service conditions
    within each jurisdiction. In addition, an attempt was made to match service conditions for beats selected from
    St. Petersburg and Indianapolis (Mastrofski et al., 1998). Thirty-seven observers accompanied patrol officers
    during 729 shifts and documented a total of 2488 encounters with suspects. Observers accompanied patrol of-
    ficers over the course of a shift and were trained to unobtrusively take brief field notes on their behavior.

    4.1. Research Questions

    4.1.2 GOING NATIVE This study will examine two research questions related to going native. First, are
    observers becoming socialized by officers and developing more positive attitudes toward the police over the
    course of fieldwork? Second, do these shifts in observer attitudes toward police (ATP) predict whether ob-
    servers help police officers and/or participate in police work?

    5. RESULTS

    5.2. Going Native

    In Table 2, the impact of going native in POPN observational data is assessed by examining: (1) shifts in ob-
    server's attitudes toward police (ATP) over the course of fieldwork and (2) the probability that an observer will
    participate during fieldwork by helping with police work. Panel A in Table 2 addresses the first issue by examin-
    ing observer surveys (N = 32) that were completed before the start of fieldwork (Ti—see column one) and im-
    mediately following fieldwork (I2—see column two). Observer's ATP became more positive between Ti and T2
    for the fast three out of four attitudinal measures, but this change is only statistically significant at the .05 level for
    one out of the three measures (see Panel A). For the fourth measure, there was no change in observer ATP

    24 Chapter 1 • Introduction

    TABLE 2…. Assessing the impact of observer.bias on police observational data: going native as a
    shift in observer's attitudes toward police and observer's level of participation impolite
    work (observer effects)

    Before Fieldwork (TI) After Fieldwork (12)

    (A) Observer's attitudes toward police (ATP): mean
    comparison
    Do police discriminate toward certain groups?
    (coded 0,1 where 1 = never or rarely) .13 .28
    Would you approve if an officer struck a citizen who
    was attacking the officer with his/her fists? (coded
    0,1 where 1 = yes) •84 •94
    Would you approve if an officer struck a citizen
    attempting to escape custody?
    (coded 0,1 where 1 = yes) 59**,a •72
    Would you approve if an officer struck a citizen who
    said vulgar or obscene things to the officer?
    (coded 0,1 where 1 = yes) .00 .00
    N (number of observers who completed both Ti and
    T2 observer surveys) 32 32

    Observer Effects

    Observer Helps Police Observer Helps with
    OfficerC Police Workd

    (B) The relationship between change in ATPb and
    observer effects: odds ratios from logistic regression
    Observers with more positive ATP (P2 >11) 50*,e .54
    Observers with no change in ATP (12 = Ti) f _
    Observers with more negative ATP (12 <T1) 1.25 .69
    Initial ATP (before fieldwork) 2.07** 2.46**
    Model, 19.3***
    N (number of shifts where observers completed both
    Ti and 12 observer surveys) 598 598

    (A) Observer's attitudes toward police (ATP): mean comparison.
    °Two-tailed significance level indicated by a test of independence.
    bMeasures of change in ATP in Panel B were derived from an additive scale of the fast three observer survey questions
    from TI and T2 in Panel A. This more general measure of ATP at TI and T2 ranged from zero to three. To determine if
    the observer's ATP became more positive (T2 > TI), stayed the same (T2 = Ti), or more negative (T2 < TI), scores on
    this additive scale were compared as described above.
    `Dichotomous coding derived from descriptive data on reactivity (1 =rides where the observer helps patrol officer) (see
    Spano, 2003 for a more detailed description).
    `Level of statistical significance is derived from odds ratios from multivariate logistic regression.
    (Observers with no change in ATP is the comparison group.
    *p<.1 """p<.05 ***p<.01 i

    Panel B in Table 2 addresses the second issue by investigating whether observers with more positive
    ATP are more likely to "participate" during fieldwork by helping police officers. An additive scale was devel-
    oped using the observer's first three attitudinal measures from Panel A from Ti and T2. Observer's ATP were
    categorized as more positive if this additive scale of ATP at T2 was greater than ATP at Ti. If there was no
    change in ATP, then T2 and Ti ATP were equal. Finally, observer's ATPs were categorized as more negative if
    T2 was less than Ti ATP.

    Two measures of observer participation (or observer effects) were derived from a dichotomous coding
    scheme derived from descriptive and quantitative data on reactivity (see Spano, 2002, 2003, for a more detailed
    description). Column one in Panel B contains rides where observers helped police officers in any capacity. This
    measure includes more mundane and innocent forms of participation (e.g., the observer tells the officer that s/he
    left his/her lights on or offers advice when asked about whether to pull over a vehicle) to instances when ob-
    servers helped officers with police work (e.g., holding handcuffs or helping to fill out paperwork, arrest and/or
    detain suspects) (see column one in Panel B) (Spano, 2002). Column two in Panel B is a subset of cases from
    the q»aiitative coding in Column one where observers helped the officer with police work

    Panel B examines shifts where observers completed both TI and T2 observer surveys (N= 598). Ob-
    servers with more positive ATP (T2 > Ti), no change in ATP (T2 = Ti), and more negative ATP (T2 <T1)
    were regressed on the two dichotomous measures of observer effects discussed above using multivariate lo-
    gistic regression after controlling for the observer's initial ATP before fieldwork. Observers with more pos-
    itive ATP are about 50% less likely to help police officers (see column one in Panel B). Although this

    I I'

    Chapter 1 • Introduction 25

    relationship is marginally significant (p < .l), the direction of the effect is not in the expected direction. Ob-
    servers with more positive ATP are not more likely to help police officers or participate in police work,
    which would be consistent with going native. In fact, this finding suggests exactly the opposite.

    6. IS RAPPORT A PROBLEM (GOING NATIVE) OR A SOLUTION (REACTIVITY)?

    Another contradiction in the methodological field research literature relates to rapport. The development of
    rapport is essential to minimize reactivity to get research subjects to feel comfortable and trust observers,
    and to act naturally while under observation. Reactivity suggests that, for example, too little rapport be-
    tween police officers and observers can cause police officers to engage in atypical behavior and thus under-
    mine the validity of observational data collected during the early stages of fieldwork. In contrast, going
    native suggests the opposite: Too much rapport between observers and research subjects will affect the ac-
    curacy of data collected at later stages of fieldwork. Going native could be rationalized as a way of mitigat-
    ing reactivity by establishing a high level of rapport with those being observed. However, Miller (1952)
    observed that friendship is based on an all-accepting outlook that can limit the depth of an observer's inves-
    tigation into and criticism of the behavior of research subjects (see also Van Maanen, 1983a, 1983b). Thus,
    going native could limit the scope, the depth, and the accuracy of observational data.

    1. SUMMARYAND CONCLUSION

    Observers are a potential source of bias for two reasons. First, observers are part of the context of observed
    behavior. As a result, the research subject could react to the presence of the observer and behave atypically
    (reactivity). Second, observers are also data collection instruments. Thus, the quality of observational data
    could be undermined if observers become resocialized, contaminate observational data by participating in
    police work, and/or document inaccurate observational data (going native).

    The relevance of these Endings is not limited to the field of criminology and criminal justice. Ethno-
    graphers, researchers who conduct face-to-face interviews, and child development researchers who "unob-
    trusively" study the interactions between parents and children (to name a few) all collect and utilize
    observational data to further our scientific understanding of various real-world phenomenon and use of
    force behavior, needed to be statistically significant. Second, the direction of the relationship between
    measures of observer bias and the outcome measures also needed to be consistent with hypothesized effects
    specified as research questions for reactivity, going native, and burnout.

    The analyses of POPN descriptive and quantitative data focused on observer bias (going native) and
    revealed key findings. One key finding is the very limited support for observer bias in the form of going na-
    tive and burnout. On the surface, observers' ATP became more positive over the course of fieldwork in
    terms of absolute change, but the change in ATP was statistically significant for only one of four measures.
    In addition, findings from multivariate logistic regression were marginally significant (p < .1) and showed
    that observers whose ATP became more positive over the course of fieldwork were less likely to "partici-
    pate" in the form of helping officers for one out of two measures of observer effects. In contrast, the litera-
    ture and logic of going native would predict that these observers would be the most likely to participate in
    police work.

    Future research should include additional control variables to rule out alternative explanations for
    patrol officer arrest and use of force behavior. To further explore the robustness of these findings, multi-
    variate analyses should be conducted to determine if observer bias is a significant predictor of, for exam-
    ple, arrest and use of force behavior net of a variety of control variables (e.g., officer work orientation,
    suspect characteristics, and situational factors). If the significant effect is suppressed in the "full" multi-
    variate model, then it is presumed that observer bias has not substantively affected the quality of police ob-
    servational data.

    References

    Adler, P.A., 1985. Wheeling and Dealing. Columbia University Press, New York.
    Adler, P.A., Adler, P, 1987. Membership Roles in Field Research. Sage Publications, Newbury Park, CA.
    Denzin, N.K., Lincoln, Y.S., 2000. The discipline and practice of qualitative research. In: Denzin, N.K , Lincoln,

    Y.S. (Fels.), Handbook of Qualitative Research, second ed. Sage Publications, Thousand Oaks, CA, pp. 1-28.
    DeWalt, K.M., DeWalt, B.R., 2002. Participant Observation: A Guide for Fieldworkers. A1taMira Press,

    New York.
    Emerson, R.M., 2002a. Introduction: the development of ethnographic field research. In: Emerson, R.M.

    (Ed.), Contemporary Field Research: Perspectives and Formulations, second ed. Waveland Press,
    Prospect Heights, 1L, pp. 1-26.

    Emerson, R.M., 2002b. Fieldwork Practice: issues in participant observation. In: Emerson, R.M. (Ed.),
    Contemporary Field Research: Perspectives and Formulations, second ed. Waveland Press, Prospect
    Heights, IL, pp. 113-151.

    **## Article.pdf**

    22 Chapter 1 • Introduction

    Exercise 1.3 Going Native

    Going native:

    POTENTIAL SOURCES OF OBSERVER BIAS iN POLICE OBSERVATIONAL DATA

    Richard Spww'

    Social Science Research, Vot . 34, pi'. 591-617,1urx 2004.

    Abstract Much of our knowledge about police behavior "on the street" is based on in-person ob-
    servation of the police. However, little research has examined how the observers can potentially bias obser-
    vational data. In this paper, anecdotal accounts from a variety of field settings are categorized into four
    potential sources of observer bias. Secondary analyses of data from a large-scale observational study of po-
    lice are used to assess the impact of three out of the four types o£ observer bias (reactivity, going native, and
    burnout). There is evidence of reactivity for arrest, but not use of force behavior and little support for going
    native and burnout. More generally, observer bias is categorized as: (1) threats to the validity of observa-
    tional data collected at different stages of fieldwork; and (2) the potential for human error implicit in obser-
    vational data. The incorporation of a semi-structured field diary is suggested to more systematically
    document all four types of observer bias in future research.

    I. INTRODUCTION

    Since the discovery of police discretion, researchers have recognized the potential for bias, inequities, and
    prejudice in the application of the law by the police (Walker, 1992). Police researchers have documented the
    limitations of organizational controls on police behavior "on the street" as well as the factors that influence
    the behavior of beat officers (Reuss-Ianni, 1993). There is also a growing appreciation for the role of field
    research and observational data in the study of discretionary decision-making given the limitations of other
    sources of information on police behavior.

    Police observational data have strengthened our understanding of the determinants of police be-
    havior by examining explanatory variables that encompass multiple units of analysis (e.g., officer and or-
    ganizational characteristics) (Mastrofski and Parks, 1990). For example, police researchers have
    observed officer behavior during encounters with citizens and found that police behavior is strongly in-
    fluenced by the structural characteristics of the situation or "situational factors" such as the nature of the
    problem, the characteristics and behavior of involved citizens, and the location of the encounter (Riksheim
    and Chermak, 1993).

    In short, simply "being there" gives the researcher access to events, aspects of police behavior, and sit-
    uational dynamics not recorded in police reports and arrest records (Emerson, 2002a, p. 2; Ferrell, 1998, p.
    27). However, some researchers categorize field research as a "marginal methodology" that produces data of
    questionable quality (benzin and Lincoln, 2000; Goodwin and Horowitz, 2002). The most serious challenge
    centers on the concept of observer bias. Since the observer is part of the context of observed behavior, ob-
    servers can potentially "bias" or contaminate observational data and undermine its reliability and validity
    (Tedlock,1991).

    The purpose of this study is to identify potential sources of observer bias and to conduct a limited test
    of its impact on police observational data. Specific research questions will be developed utilizing concepts
    derived from the extant literature to operationalize three out of four types of observer bias (reactivity, cul-
    ture shock, and burnout) and assess its impact on POPN observational data.

    2. FOUR TYPES OF OBSERVER BIAS

    2.1. Reactivity

    One common criticism of observational data is that research subjects may react to the presence of an ob-
    server by changing his or her behavior. [Note: This section has been omitted.]

    2.2. Culture Shock

    Immersion into an alien environment can be an intense and unsettling experience (Emerson, 2002b). Cul-
    ture shock refers to feelings of disorientation and anxiety that observers feel during the early stages of field
    research (see DeWalt and DeWalt, 2002, for a review). [Note. This section has been omitted.]

    3Fax: 1-205-348-7178. E-mail address: rspano@bama.ua.edu
    0049-089X/$—see front matter. 2004 Elsevier Inc. All rights reserved.
    doi:10.1016/j.ssresearch.2004.05.003

    i

    Chapter 1 • Introduction 23

    2.3. Going Native

    Gans (1982) argued that observers become sympathetic toward individuals under study for a number of ma-

    sons. One reason is that observers and research subjects work together in close quarters over the course of

    fieldwork. A natural consequence of the observer's task is a more sympathetic outlook toward individuals un-
    der observation. A second reason is that researchers feel a pull toward increased involvement while collecting
    observational data (see Adler and Adler, 1987, for an overview). Palmer and Emerson (2002) argued that re
    search subjects could use observers as an assistant and a resource while conducting their work. This level of
    involvement can range from innocuous requests for observers to act as a "go-fer" to participation in more crit-
    ical activities. For example, while studying drug dealers, Adler (1985) loaned drug dealers money, watched
    their children for extended periods of time, testified in court on their behalf, and allowed them to conduct drug
    deals in Aler's home. While observing police officers, Norris (1993) not only made tea for the shift, but also
    helped to chase and arrest suspects and administered first aid following suicide attempts. Since he did not look
    like a police officer, Skolnick (1966) aided police by walking into a bar to find a dangerous armed robber.
    Skolnick also helped some officers get past a lookout by driving a disguised truck up to a building.

    A more general concern is that observing research subjects in their natural settings has the potential to re-
    socialize the researcher. This process of resocialization has been described as "overapport" and conceptualized
    as the problem of "going native," since observers lose sight of their role as a researcher and, in extreme cases,
    begin to think of themselves as members of the group under study. Observers may become involved as partici-
    pants and systematically influence the phenomenon under study (Manning, 1976; Pollner and Emerson, 2002).
    Reiss (1968, pp. 365-366) described one instance of observer socialivation that occurred during an observa-
    tional study of police. In aprecinct located in a high crime area populated predominantly by African-Americans,
    a common practice in the stationhouse was to walk down the row of cells and flush the toilets when an inmate
    asked for water. One evening, an inmate asked for water and an observer imitated the officers by walking down
    the cellblock and flushing the toilets. On his last shift, one officer asked the observer what he learned over the
    summer. The observer shocked a fellow observer by replying "I learned to hate niggers." In extreme cases, ob-
    servers could transfer their loyalty to research subjects, completely abandon data collection, and refuse to return
    from the field. Anthropologists who have gone native have stopped publishing material completely, rejected ac-
    ademia, and decided to live with indigenous people who were the topic of inquiry (Gronewold,1972).

    2.4. Burnout

    Burnout refers to inaccurate documentation of observational data at later stages of fieldwork due to the
    mentally and physically demanding nature of data collection (Fine, 1993; Lofland and Lofland, 1995).
    [Note: This section has been omitted.]

    3. DATA

    This study utih7es POPN observational data of patrol officers collected in Indianapolis and St. Petersburg dur-
    ing the summers of 1996 and 1997, respectively. Shifts were selected for observation based on time of day and
    day of the week, but busier days (Thursday through Saturday) were oversampled to maximize the number of
    police-citizen encounters. Observers rode with patrol officers in 12 of Indianapolis's 50 patrol beats and 12 of
    St. Petersburg's 48 patrol beats. Beats in both sites were selected to capture variation in service conditions
    within each jurisdiction. In addition, an attempt was made to match service conditions for beats selected from
    St. Petersburg and Indianapolis (Mastrofski et al., 1998). Thirty-seven observers accompanied patrol officers
    during 729 shifts and documented a total of 2488 encounters with suspects. Observers accompanied patrol of-
    ficers over the course of a shift and were trained to unobtrusively take brief field notes on their behavior.

    4.1. Research Questions

    4.1.2 GOING NATIVE This study will examine two research questions related to going native. First, are
    observers becoming socialized by officers and developing more positive attitudes toward the police over the
    course of fieldwork? Second, do these shifts in observer attitudes toward police (ATP) predict whether ob-
    servers help police officers and/or participate in police work?

    5. RESULTS

    5.2. Going Native

    In Table 2, the impact of going native in POPN observational data is assessed by examining: (1) shifts in ob-
    server's attitudes toward police (ATP) over the course of fieldwork and (2) the probability that an observer will
    participate during fieldwork by helping with police work. Panel A in Table 2 addresses the first issue by examin-
    ing observer surveys (N = 32) that were completed before the start of fieldwork (Ti—see column one) and im-
    mediately following fieldwork (I2—see column two). Observer's ATP became more positive between Ti and T2
    for the fast three out of four attitudinal measures, but this change is only statistically significant at the .05 level for
    one out of the three measures (see Panel A). For the fourth measure, there was no change in observer ATP

    24 Chapter 1 • Introduction

    TABLE 2…. Assessing the impact of observer.bias on police observational data: going native as a
    shift in observer's attitudes toward police and observer's level of participation impolite
    work (observer effects)

    Before Fieldwork (TI) After Fieldwork (12)

    (A) Observer's attitudes toward police (ATP): mean
    comparison
    Do police discriminate toward certain groups?
    (coded 0,1 where 1 = never or rarely) .13 .28
    Would you approve if an officer struck a citizen who
    was attacking the officer with his/her fists? (coded
    0,1 where 1 = yes) •84 •94
    Would you approve if an officer struck a citizen
    attempting to escape custody?
    (coded 0,1 where 1 = yes) 59**,a •72
    Would you approve if an officer struck a citizen who
    said vulgar or obscene things to the officer?
    (coded 0,1 where 1 = yes) .00 .00
    N (number of observers who completed both Ti and
    T2 observer surveys) 32 32

    Observer Effects

    Observer Helps Police Observer Helps with
    OfficerC Police Workd

    (B) The relationship between change in ATPb and
    observer effects: odds ratios from logistic regression
    Observers with more positive ATP (P2 >11) 50*,e .54
    Observers with no change in ATP (12 = Ti) f _
    Observers with more negative ATP (12 <T1) 1.25 .69
    Initial ATP (before fieldwork) 2.07** 2.46**
    Model, 19.3***
    N (number of shifts where observers completed both
    Ti and 12 observer surveys) 598 598

    (A) Observer's attitudes toward police (ATP): mean comparison.
    °Two-tailed significance level indicated by a test of independence.
    bMeasures of change in ATP in Panel B were derived from an additive scale of the fast three observer survey questions
    from TI and T2 in Panel A. This more general measure of ATP at TI and T2 ranged from zero to three. To determine if
    the observer's ATP became more positive (T2 > TI), stayed the same (T2 = Ti), or more negative (T2 < TI), scores on
    this additive scale were compared as described above.
    `Dichotomous coding derived from descriptive data on reactivity (1 =rides where the observer helps patrol officer) (see
    Spano, 2003 for a more detailed description).
    `Level of statistical significance is derived from odds ratios from multivariate logistic regression.
    (Observers with no change in ATP is the comparison group.
    *p<.1 """p<.05 ***p<.01 i

    Panel B in Table 2 addresses the second issue by investigating whether observers with more positive
    ATP are more likely to "participate" during fieldwork by helping police officers. An additive scale was devel-
    oped using the observer's first three attitudinal measures from Panel A from Ti and T2. Observer's ATP were
    categorized as more positive if this additive scale of ATP at T2 was greater than ATP at Ti. If there was no
    change in ATP, then T2 and Ti ATP were equal. Finally, observer's ATPs were categorized as more negative if
    T2 was less than Ti ATP.

    Two measures of observer participation (or observer effects) were derived from a dichotomous coding
    scheme derived from descriptive and quantitative data on reactivity (see Spano, 2002, 2003, for a more detailed
    description). Column one in Panel B contains rides where observers helped police officers in any capacity. This
    measure includes more mundane and innocent forms of participation (e.g., the observer tells the officer that s/he
    left his/her lights on or offers advice when asked about whether to pull over a vehicle) to instances when ob-
    servers helped officers with police work (e.g., holding handcuffs or helping to fill out paperwork, arrest and/or
    detain suspects) (see column one in Panel B) (Spano, 2002). Column two in Panel B is a subset of cases from
    the q»aiitative coding in Column one where observers helped the officer with police work

    Panel B examines shifts where observers completed both TI and T2 observer surveys (N= 598). Ob-
    servers with more positive ATP (T2 > Ti), no change in ATP (T2 = Ti), and more negative ATP (T2 <T1)
    were regressed on the two dichotomous measures of observer effects discussed above using multivariate lo-
    gistic regression after controlling for the observer's initial ATP before fieldwork. Observers with more pos-
    itive ATP are about 50% less likely to help police officers (see column one in Panel B). Although this

    I I'

    Chapter 1 • Introduction 25

    relationship is marginally significant (p < .l), the direction of the effect is not in the expected direction. Ob-
    servers with more positive ATP are not more likely to help police officers or participate in police work,
    which would be consistent with going native. In fact, this finding suggests exactly the opposite.

    6. IS RAPPORT A PROBLEM (GOING NATIVE) OR A SOLUTION (REACTIVITY)?

    Another contradiction in the methodological field research literature relates to rapport. The development of
    rapport is essential to minimize reactivity to get research subjects to feel comfortable and trust observers,
    and to act naturally while under observation. Reactivity suggests that, for example, too little rapport be-
    tween police officers and observers can cause police officers to engage in atypical behavior and thus under-
    mine the validity of observational data collected during the early stages of fieldwork. In contrast, going
    native suggests the opposite: Too much rapport between observers and research subjects will affect the ac-
    curacy of data collected at later stages of fieldwork. Going native could be rationalized as a way of mitigat-
    ing reactivity by establishing a high level of rapport with those being observed. However, Miller (1952)
    observed that friendship is based on an all-accepting outlook that can limit the depth of an observer's inves-
    tigation into and criticism of the behavior of research subjects (see also Van Maanen, 1983a, 1983b). Thus,
    going native could limit the scope, the depth, and the accuracy of observational data.

    1. SUMMARYAND CONCLUSION

    Observers are a potential source of bias for two reasons. First, observers are part of the context of observed
    behavior. As a result, the research subject could react to the presence of the observer and behave atypically
    (reactivity). Second, observers are also data collection instruments. Thus, the quality of observational data
    could be undermined if observers become resocialized, contaminate observational data by participating in
    police work, and/or document inaccurate observational data (going native).

    The relevance of these Endings is not limited to the field of criminology and criminal justice. Ethno-
    graphers, researchers who conduct face-to-face interviews, and child development researchers who "unob-
    trusively" study the interactions between parents and children (to name a few) all collect and utilize
    observational data to further our scientific understanding of various real-world phenomenon and use of
    force behavior, needed to be statistically significant. Second, the direction of the relationship between
    measures of observer bias and the outcome measures also needed to be consistent with hypothesized effects
    specified as research questions for reactivity, going native, and burnout.

    The analyses of POPN descriptive and quantitative data focused on observer bias (going native) and
    revealed key findings. One key finding is the very limited support for observer bias in the form of going na-
    tive and burnout. On the surface, observers' ATP became more positive over the course of fieldwork in
    terms of absolute change, but the change in ATP was statistically significant for only one of four measures.
    In addition, findings from multivariate logistic regression were marginally significant (p < .1) and showed
    that observers whose ATP became more positive over the course of fieldwork were less likely to "partici-
    pate" in the form of helping officers for one out of two measures of observer effects. In contrast, the litera-
    ture and logic of going native would predict that these observers would be the most likely to participate in
    police work.

    Future research should include additional control variables to rule out alternative explanations for
    patrol officer arrest and use of force behavior. To further explore the robustness of these findings, multi-
    variate analyses should be conducted to determine if observer bias is a significant predictor of, for exam-
    ple, arrest and use of force behavior net of a variety of control variables (e.g., officer work orientation,
    suspect characteristics, and situational factors). If the significant effect is suppressed in the "full" multi-
    variate model, then it is presumed that observer bias has not substantively affected the quality of police ob-
    servational data.

    References

    Adler, P.A., 1985. Wheeling and Dealing. Columbia University Press, New York.
    Adler, P.A., Adler, P, 1987. Membership Roles in Field Research. Sage Publications, Newbury Park, CA.
    Denzin, N.K., Lincoln, Y.S., 2000. The discipline and practice of qualitative research. In: Denzin, N.K , Lincoln,

    Y.S. (Fels.), Handbook of Qualitative Research, second ed. Sage Publications, Thousand Oaks, CA, pp. 1-28.
    DeWalt, K.M., DeWalt, B.R., 2002. Participant Observation: A Guide for Fieldworkers. A1taMira Press,

    New York.
    Emerson, R.M., 2002a. Introduction: the development of ethnographic field research. In: Emerson, R.M.

    (Ed.), Contemporary Field Research: Perspectives and Formulations, second ed. Waveland Press,
    Prospect Heights, 1L, pp. 1-26.

    Emerson, R.M., 2002b. Fieldwork Practice: issues in participant observation. In: Emerson, R.M. (Ed.),
    Contemporary Field Research: Perspectives and Formulations, second ed. Waveland Press, Prospect
    Heights, IL, pp. 113-151.

    **## Assignment.pdf**

    Use the article attached to answer the 4 questions below:

    1. Based on the article, "Going Native: Potential Sources of Observer Bias in Police
    Observational Data,", why is "going native" a threat to researchers who study police
    officers?

    2. Given the information included in this article, what steps might a researcher take to
    avoid going native in criminal justice research?

    3. What precautions might be used to protect against "going native" in criminal justice
    law enforcement research?

    4. Consider one of the following areas of criminal justice research: prisons, gangs, and
    drug addicts. How might the process of "going native" be mitigated in participant
    observation in this area?

    **## Article.pdf**

    22 Chapter 1 • Introduction

    Exercise 1.3 Going Native

    Going native:

    POTENTIAL SOURCES OF OBSERVER BIAS iN POLICE OBSERVATIONAL DATA

    Richard Spww'

    Social Science Research, Vot . 34, pi'. 591-617,1urx 2004.

    Abstract Much of our knowledge about police behavior "on the street" is based on in-person ob-
    servation of the police. However, little research has examined how the observers can potentially bias obser-
    vational data. In this paper, anecdotal accounts from a variety of field settings are categorized into four
    potential sources of observer bias. Secondary analyses of data from a large-scale observational study of po-
    lice are used to assess the impact of three out of the four types o£ observer bias (reactivity, going native, and
    burnout). There is evidence of reactivity for arrest, but not use of force behavior and little support for going
    native and burnout. More generally, observer bias is categorized as: (1) threats to the validity of observa-
    tional data collected at different stages of fieldwork; and (2) the potential for human error implicit in obser-
    vational data. The incorporation of a semi-structured field diary is suggested to more systematically
    document all four types of observer bias in future research.

    I. INTRODUCTION

    Since the discovery of police discretion, researchers have recognized the potential for bias, inequities, and
    prejudice in the application of the law by the police (Walker, 1992). Police researchers have documented the
    limitations of organizational controls on police behavior "on the street" as well as the factors that influence
    the behavior of beat officers (Reuss-Ianni, 1993). There is also a growing appreciation for the role of field
    research and observational data in the study of discretionary decision-making given the limitations of other
    sources of information on police behavior.

    Police observational data have strengthened our understanding of the determinants of police be-
    havior by examining explanatory variables that encompass multiple units of analysis (e.g., officer and or-
    ganizational characteristics) (Mastrofski and Parks, 1990). For example, police researchers have
    observed officer behavior during encounters with citizens and found that police behavior is strongly in-
    fluenced by the structural characteristics of the situation or "situational factors" such as the nature of the
    problem, the characteristics and behavior of involved citizens, and the location of the encounter (Riksheim
    and Chermak, 1993).

    In short, simply "being there" gives the researcher access to events, aspects of police behavior, and sit-
    uational dynamics not recorded in police reports and arrest records (Emerson, 2002a, p. 2; Ferrell, 1998, p.
    27). However, some researchers categorize field research as a "marginal methodology" that produces data of
    questionable quality (benzin and Lincoln, 2000; Goodwin and Horowitz, 2002). The most serious challenge
    centers on the concept of observer bias. Since the observer is part of the context of observed behavior, ob-
    servers can potentially "bias" or contaminate observational data and undermine its reliability and validity
    (Tedlock,1991).

    The purpose of this study is to identify potential sources of observer bias and to conduct a limited test
    of its impact on police observational data. Specific research questions will be developed utilizing concepts
    derived from the extant literature to operationalize three out of four types of observer bias (reactivity, cul-
    ture shock, and burnout) and assess its impact on POPN observational data.

    2. FOUR TYPES OF OBSERVER BIAS

    2.1. Reactivity

    One common criticism of observational data is that research subjects may react to the presence of an ob-
    server by changing his or her behavior. [Note: This section has been omitted.]

    2.2. Culture Shock

    Immersion into an alien environment can be an intense and unsettling experience (Emerson, 2002b). Cul-
    ture shock refers to feelings of disorientation and anxiety that observers feel during the early stages of field
    research (see DeWalt and DeWalt, 2002, for a review). [Note. This section has been omitted.]

    3Fax: 1-205-348-7178. E-mail address: rspano@bama.ua.edu
    0049-089X/$—see front matter. 2004 Elsevier Inc. All rights reserved.
    doi:10.1016/j.ssresearch.2004.05.003

    i

    Chapter 1 • Introduction 23

    2.3. Going Native

    Gans (1982) argued that observers become sympathetic toward individuals under study for a number of ma-

    sons. One reason is that observers and research subjects work together in close quarters over the course of

    fieldwork. A natural consequence of the observer's task is a more sympathetic outlook toward individuals un-
    der observation. A second reason is that researchers feel a pull toward increased involvement while collecting
    observational data (see Adler and Adler, 1987, for an overview). Palmer and Emerson (2002) argued that re
    search subjects could use observers as an assistant and a resource while conducting their work. This level of
    involvement can range from innocuous requests for observers to act as a "go-fer" to participation in more crit-
    ical activities. For example, while studying drug dealers, Adler (1985) loaned drug dealers money, watched
    their children for extended periods of time, testified in court on their behalf, and allowed them to conduct drug
    deals in Aler's home. While observing police officers, Norris (1993) not only made tea for the shift, but also
    helped to chase and arrest suspects and administered first aid following suicide attempts. Since he did not look
    like a police officer, Skolnick (1966) aided police by walking into a bar to find a dangerous armed robber.
    Skolnick also helped some officers get past a lookout by driving a disguised truck up to a building.

    A more general concern is that observing research subjects in their natural settings has the potential to re-
    socialize the researcher. This process of resocialization has been described as "overapport" and conceptualized
    as the problem of "going native," since observers lose sight of their role as a researcher and, in extreme cases,
    begin to think of themselves as members of the group under study. Observers may become involved as partici-
    pants and systematically influence the phenomenon under study (Manning, 1976; Pollner and Emerson, 2002).
    Reiss (1968, pp. 365-366) described one instance of observer socialivation that occurred during an observa-
    tional study of police. In aprecinct located in a high crime area populated predominantly by African-Americans,
    a common practice in the stationhouse was to walk down the row of cells and flush the toilets when an inmate
    asked for water. One evening, an inmate asked for water and an observer imitated the officers by walking down
    the cellblock and flushing the toilets. On his last shift, one officer asked the observer what he learned over the
    summer. The observer shocked a fellow observer by replying "I learned to hate niggers." In extreme cases, ob-
    servers could transfer their loyalty to research subjects, completely abandon data collection, and refuse to return
    from the field. Anthropologists who have gone native have stopped publishing material completely, rejected ac-
    ademia, and decided to live with indigenous people who were the topic of inquiry (Gronewold,1972).

    2.4. Burnout

    Burnout refers to inaccurate documentation of observational data at later stages of fieldwork due to the
    mentally and physically demanding nature of data collection (Fine, 1993; Lofland and Lofland, 1995).
    [Note: This section has been omitted.]

    3. DATA

    This study utih7es POPN observational data of patrol officers collected in Indianapolis and St. Petersburg dur-
    ing the summers of 1996 and 1997, respectively. Shifts were selected for observation based on time of day and
    day of the week, but busier days (Thursday through Saturday) were oversampled to maximize the number of
    police-citizen encounters. Observers rode with patrol officers in 12 of Indianapolis's 50 patrol beats and 12 of
    St. Petersburg's 48 patrol beats. Beats in both sites were selected to capture variation in service conditions
    within each jurisdiction. In addition, an attempt was made to match service conditions for beats selected from
    St. Petersburg and Indianapolis (Mastrofski et al., 1998). Thirty-seven observers accompanied patrol officers
    during 729 shifts and documented a total of 2488 encounters with suspects. Observers accompanied patrol of-
    ficers over the course of a shift and were trained to unobtrusively take brief field notes on their behavior.

    4.1. Research Questions

    4.1.2 GOING NATIVE This study will examine two research questions related to going native. First, are
    observers becoming socialized by officers and developing more positive attitudes toward the police over the
    course of fieldwork? Second, do these shifts in observer attitudes toward police (ATP) predict whether ob-
    servers help police officers and/or participate in police work?

    5. RESULTS

    5.2. Going Native

    In Table 2, the impact of going native in POPN observational data is assessed by examining: (1) shifts in ob-
    server's attitudes toward police (ATP) over the course of fieldwork and (2) the probability that an observer will
    participate during fieldwork by helping with police work. Panel A in Table 2 addresses the first issue by examin-
    ing observer surveys (N = 32) that were completed before the start of fieldwork (Ti—see column one) and im-
    mediately following fieldwork (I2—see column two). Observer's ATP became more positive between Ti and T2
    for the fast three out of four attitudinal measures, but this change is only statistically significant at the .05 level for
    one out of the three measures (see Panel A). For the fourth measure, there was no change in observer ATP

    24 Chapter 1 • Introduction

    TABLE 2…. Assessing the impact of observer.bias on police observational data: going native as a
    shift in observer's attitudes toward police and observer's level of participation impolite
    work (observer effects)

    Before Fieldwork (TI) After Fieldwork (12)

    (A) Observer's attitudes toward police (ATP): mean
    comparison
    Do police discriminate toward certain groups?
    (coded 0,1 where 1 = never or rarely) .13 .28
    Would you approve if an officer struck a citizen who
    was attacking the officer with his/her fists? (coded
    0,1 where 1 = yes) •84 •94
    Would you approve if an officer struck a citizen
    attempting to escape custody?
    (coded 0,1 where 1 = yes) 59**,a •72
    Would you approve if an officer struck a citizen who
    said vulgar or obscene things to the officer?
    (coded 0,1 where 1 = yes) .00 .00
    N (number of observers who completed both Ti and
    T2 observer surveys) 32 32

    Observer Effects

    Observer Helps Police Observer Helps with
    OfficerC Police Workd

    (B) The relationship between change in ATPb and
    observer effects: odds ratios from logistic regression
    Observers with more positive ATP (P2 >11) 50*,e .54
    Observers with no change in ATP (12 = Ti) f _
    Observers with more negative ATP (12 <T1) 1.25 .69
    Initial ATP (before fieldwork) 2.07** 2.46**
    Model, 19.3***
    N (number of shifts where observers completed both
    Ti and 12 observer surveys) 598 598

    (A) Observer's attitudes toward police (ATP): mean comparison.
    °Two-tailed significance level indicated by a test of independence.
    bMeasures of change in ATP in Panel B were derived from an additive scale of the fast three observer survey questions
    from TI and T2 in Panel A. This more general measure of ATP at TI and T2 ranged from zero to three. To determine if
    the observer's ATP became more positive (T2 > TI), stayed the same (T2 = Ti), or more negative (T2 < TI), scores on
    this additive scale were compared as described above.
    `Dichotomous coding derived from descriptive data on reactivity (1 =rides where the observer helps patrol officer) (see
    Spano, 2003 for a more detailed description).
    `Level of statistical significance is derived from odds ratios from multivariate logistic regression.
    (Observers with no change in ATP is the comparison group.
    *p<.1 """p<.05 ***p<.01 i

    Panel B in Table 2 addresses the second issue by investigating whether observers with more positive
    ATP are more likely to "participate" during fieldwork by helping police officers. An additive scale was devel-
    oped using the observer's first three attitudinal measures from Panel A from Ti and T2. Observer's ATP were
    categorized as more positive if this additive scale of ATP at T2 was greater than ATP at Ti. If there was no
    change in ATP, then T2 and Ti ATP were equal. Finally, observer's ATPs were categorized as more negative if
    T2 was less than Ti ATP.

    Two measures of observer participation (or observer effects) were derived from a dichotomous coding
    scheme derived from descriptive and quantitative data on reactivity (see Spano, 2002, 2003, for a more detailed
    description). Column one in Panel B contains rides where observers helped police officers in any capacity. This
    measure includes more mundane and innocent forms of participation (e.g., the observer tells the officer that s/he
    left his/her lights on or offers advice when asked about whether to pull over a vehicle) to instances when ob-
    servers helped officers with police work (e.g., holding handcuffs or helping to fill out paperwork, arrest and/or
    detain suspects) (see column one in Panel B) (Spano, 2002). Column two in Panel B is a subset of cases from
    the q»aiitative coding in Column one where observers helped the officer with police work

    Panel B examines shifts where observers completed both TI and T2 observer surveys (N= 598). Ob-
    servers with more positive ATP (T2 > Ti), no change in ATP (T2 = Ti), and more negative ATP (T2 <T1)
    were regressed on the two dichotomous measures of observer effects discussed above using multivariate lo-
    gistic regression after controlling for the observer's initial ATP before fieldwork. Observers with more pos-
    itive ATP are about 50% less likely to help police officers (see column one in Panel B). Although this

    I I'

    Chapter 1 • Introduction 25

    relationship is marginally significant (p < .l), the direction of the effect is not in the expected direction. Ob-
    servers with more positive ATP are not more likely to help police officers or participate in police work,
    which would be consistent with going native. In fact, this finding suggests exactly the opposite.

    6. IS RAPPORT A PROBLEM (GOING NATIVE) OR A SOLUTION (REACTIVITY)?

    Another contradiction in the methodological field research literature relates to rapport. The development of
    rapport is essential to minimize reactivity to get research subjects to feel comfortable and trust observers,
    and to act naturally while under observation. Reactivity suggests that, for example, too little rapport be-
    tween police officers and observers can cause police officers to engage in atypical behavior and thus under-
    mine the validity of observational data collected during the early stages of fieldwork. In contrast, going
    native suggests the opposite: Too much rapport between observers and research subjects will affect the ac-
    curacy of data collected at later stages of fieldwork. Going native could be rationalized as a way of mitigat-
    ing reactivity by establishing a high level of rapport with those being observed. However, Miller (1952)
    observed that friendship is based on an all-accepting outlook that can limit the depth of an observer's inves-
    tigation into and criticism of the behavior of research subjects (see also Van Maanen, 1983a, 1983b). Thus,
    going native could limit the scope, the depth, and the accuracy of observational data.

    1. SUMMARYAND CONCLUSION

    Observers are a potential source of bias for two reasons. First, observers are part of the context of observed
    behavior. As a result, the research subject could react to the presence of the observer and behave atypically
    (reactivity). Second, observers are also data collection instruments. Thus, the quality of observational data
    could be undermined if observers become resocialized, contaminate observational data by participating in
    police work, and/or document inaccurate observational data (going native).

    The relevance of these Endings is not limited to the field of criminology and criminal justice. Ethno-
    graphers, researchers who conduct face-to-face interviews, and child development researchers who "unob-
    trusively" study the interactions between parents and children (to name a few) all collect and utilize
    observational data to further our scientific understanding of various real-world phenomenon and use of
    force behavior, needed to be statistically significant. Second, the direction of the relationship between
    measures of observer bias and the outcome measures also needed to be consistent with hypothesized effects
    specified as research questions for reactivity, going native, and burnout.

    The analyses of POPN descriptive and quantitative data focused on observer bias (going native) and
    revealed key findings. One key finding is the very limited support for observer bias in the form of going na-
    tive and burnout. On the surface, observers' ATP became more positive over the course of fieldwork in
    terms of absolute change, but the change in ATP was statistically significant for only one of four measures.
    In addition, findings from multivariate logistic regression were marginally significant (p < .1) and showed
    that observers whose ATP became more positive over the course of fieldwork were less likely to "partici-
    pate" in the form of helping officers for one out of two measures of observer effects. In contrast, the litera-
    ture and logic of going native would predict that these observers would be the most likely to participate in
    police work.

    Future research should include additional control variables to rule out alternative explanations for
    patrol officer arrest and use of force behavior. To further explore the robustness of these findings, multi-
    variate analyses should be conducted to determine if observer bias is a significant predictor of, for exam-
    ple, arrest and use of force behavior net of a variety of control variables (e.g., officer work orientation,
    suspect characteristics, and situational factors). If the significant effect is suppressed in the "full" multi-
    variate model, then it is presumed that observer bias has not substantively affected the quality of police ob-
    servational data.

    References

    Adler, P.A., 1985. Wheeling and Dealing. Columbia University Press, New York.
    Adler, P.A., Adler, P, 1987. Membership Roles in Field Research. Sage Publications, Newbury Park, CA.
    Denzin, N.K., Lincoln, Y.S., 2000. The discipline and practice of qualitative research. In: Denzin, N.K , Lincoln,

    Y.S. (Fels.), Handbook of Qualitative Research, second ed. Sage Publications, Thousand Oaks, CA, pp. 1-28.
    DeWalt, K.M., DeWalt, B.R., 2002. Participant Observation: A Guide for Fieldworkers. A1taMira Press,

    New York.
    Emerson, R.M., 2002a. Introduction: the development of ethnographic field research. In: Emerson, R.M.

    (Ed.), Contemporary Field Research: Perspectives and Formulations, second ed. Waveland Press,
    Prospect Heights, 1L, pp. 1-26.

    Emerson, R.M., 2002b. Fieldwork Practice: issues in participant observation. In: Emerson, R.M. (Ed.),
    Contemporary Field Research: Perspectives and Formulations, second ed. Waveland Press, Prospect
    Heights, IL, pp. 113-151.

    **## Assignment.pdf**

    Use the article attached to answer the 4 questions below:

    1. Based on the article, "Going Native: Potential Sources of Observer Bias in Police
    Observational Data,", why is "going native" a threat to researchers who study police
    officers?

    2. Given the information included in this article, what steps might a researcher take to
    avoid going native in criminal justice research?

    3. What precautions might be used to protect against "going native" in criminal justice
    law enforcement research?

    4. Consider one of the following areas of criminal justice research: prisons, gangs, and
    drug addicts. How might the process of "going native" be mitigated in participant
    observation in this area?

    **## Article.pdf**

    22 Chapter 1 • Introduction

    Exercise 1.3 Going Native

    Going native:

    POTENTIAL SOURCES OF OBSERVER BIAS iN POLICE OBSERVATIONAL DATA

    Richard Spww'

    Social Science Research, Vot . 34, pi'. 591-617,1urx 2004.

    Abstract Much of our knowledge about police behavior "on the street" is based on in-person ob-
    servation of the police. However, little research has examined how the observers can potentially bias obser-
    vational data. In this paper, anecdotal accounts from a variety of field settings are categorized into four
    potential sources of observer bias. Secondary analyses of data from a large-scale observational study of po-
    lice are used to assess the impact of three out of the four types o£ observer bias (reactivity, going native, and
    burnout). There is evidence of reactivity for arrest, but not use of force behavior and little support for going
    native and burnout. More generally, observer bias is categorized as: (1) threats to the validity of observa-
    tional data collected at different stages of fieldwork; and (2) the potential for human error implicit in obser-
    vational data. The incorporation of a semi-structured field diary is suggested to more systematically
    document all four types of observer bias in future research.

    I. INTRODUCTION

    Since the discovery of police discretion, researchers have recognized the potential for bias, inequities, and
    prejudice in the application of the law by the police (Walker, 1992). Police researchers have documented the
    limitations of organizational controls on police behavior "on the street" as well as the factors that influence
    the behavior of beat officers (Reuss-Ianni, 1993). There is also a growing appreciation for the role of field
    research and observational data in the study of discretionary decision-making given the limitations of other
    sources of information on police behavior.

    Police observational data have strengthened our understanding of the determinants of police be-
    havior by examining explanatory variables that encompass multiple units of analysis (e.g., officer and or-
    ganizational characteristics) (Mastrofski and Parks, 1990). For example, police researchers have
    observed officer behavior during encounters with citizens and found that police behavior is strongly in-
    fluenced by the structural characteristics of the situation or "situational factors" such as the nature of the
    problem, the characteristics and behavior of involved citizens, and the location of the encounter (Riksheim
    and Chermak, 1993).

    In short, simply "being there" gives the researcher access to events, aspects of police behavior, and sit-
    uational dynamics not recorded in police reports and arrest records (Emerson, 2002a, p. 2; Ferrell, 1998, p.
    27). However, some researchers categorize field research as a "marginal methodology" that produces data of
    questionable quality (benzin and Lincoln, 2000; Goodwin and Horowitz, 2002). The most serious challenge
    centers on the concept of observer bias. Since the observer is part of the context of observed behavior, ob-
    servers can potentially "bias" or contaminate observational data and undermine its reliability and validity
    (Tedlock,1991).

    The purpose of this study is to identify potential sources of observer bias and to conduct a limited test
    of its impact on police observational data. Specific research questions will be developed utilizing concepts
    derived from the extant literature to operationalize three out of four types of observer bias (reactivity, cul-
    ture shock, and burnout) and assess its impact on POPN observational data.

    2. FOUR TYPES OF OBSERVER BIAS

    2.1. Reactivity

    One common criticism of observational data is that research subjects may react to the presence of an ob-
    server by changing his or her behavior. [Note: This section has been omitted.]

    2.2. Culture Shock

    Immersion into an alien environment can be an intense and unsettling experience (Emerson, 2002b). Cul-
    ture shock refers to feelings of disorientation and anxiety that observers feel during the early stages of field
    research (see DeWalt and DeWalt, 2002, for a review). [Note. This section has been omitted.]

    3Fax: 1-205-348-7178. E-mail address: rspano@bama.ua.edu
    0049-089X/$—see front matter. 2004 Elsevier Inc. All rights reserved.
    doi:10.1016/j.ssresearch.2004.05.003

    i

    Chapter 1 • Introduction 23

    2.3. Going Native

    Gans (1982) argued that observers become sympathetic toward individuals under study for a number of ma-

    sons. One reason is that observers and research subjects work together in close quarters over the course of

    fieldwork. A natural consequence of the observer's task is a more sympathetic outlook toward individuals un-
    der observation. A second reason is that researchers feel a pull toward increased involvement while collecting
    observational data (see Adler and Adler, 1987, for an overview). Palmer and Emerson (2002) argued that re
    search subjects could use observers as an assistant and a resource while conducting their work. This level of
    involvement can range from innocuous requests for observers to act as a "go-fer" to participation in more crit-
    ical activities. For example, while studying drug dealers, Adler (1985) loaned drug dealers money, watched
    their children for extended periods of time, testified in court on their behalf, and allowed them to conduct drug
    deals in Aler's home. While observing police officers, Norris (1993) not only made tea for the shift, but also
    helped to chase and arrest suspects and administered first aid following suicide attempts. Since he did not look
    like a police officer, Skolnick (1966) aided police by walking into a bar to find a dangerous armed robber.
    Skolnick also helped some officers get past a lookout by driving a disguised truck up to a building.

    A more general concern is that observing research subjects in their natural settings has the potential to re-
    socialize the researcher. This process of resocialization has been described as "overapport" and conceptualized
    as the problem of "going native," since observers lose sight of their role as a researcher and, in extreme cases,
    begin to think of themselves as members of the group under study. Observers may become involved as partici-
    pants and systematically influence the phenomenon under study (Manning, 1976; Pollner and Emerson, 2002).
    Reiss (1968, pp. 365-366) described one instance of observer socialivation that occurred during an observa-
    tional study of police. In aprecinct located in a high crime area populated predominantly by African-Americans,
    a common practice in the stationhouse was to walk down the row of cells and flush the toilets when an inmate
    asked for water. One evening, an inmate asked for water and an observer imitated the officers by walking down
    the cellblock and flushing the toilets. On his last shift, one officer asked the observer what he learned over the
    summer. The observer shocked a fellow observer by replying "I learned to hate niggers." In extreme cases, ob-
    servers could transfer their loyalty to research subjects, completely abandon data collection, and refuse to return
    from the field. Anthropologists who have gone native have stopped publishing material completely, rejected ac-
    ademia, and decided to live with indigenous people who were the topic of inquiry (Gronewold,1972).

    2.4. Burnout

    Burnout refers to inaccurate documentation of observational data at later stages of fieldwork due to the
    mentally and physically demanding nature of data collection (Fine, 1993; Lofland and Lofland, 1995).
    [Note: This section has been omitted.]

    3. DATA

    This study utih7es POPN observational data of patrol officers collected in Indianapolis and St. Petersburg dur-
    ing the summers of 1996 and 1997, respectively. Shifts were selected for observation based on time of day and
    day of the week, but busier days (Thursday through Saturday) were oversampled to maximize the number of
    police-citizen encounters. Observers rode with patrol officers in 12 of Indianapolis's 50 patrol beats and 12 of
    St. Petersburg's 48 patrol beats. Beats in both sites were selected to capture variation in service conditions
    within each jurisdiction. In addition, an attempt was made to match service conditions for beats selected from
    St. Petersburg and Indianapolis (Mastrofski et al., 1998). Thirty-seven observers accompanied patrol officers
    during 729 shifts and documented a total of 2488 encounters with suspects. Observers accompanied patrol of-
    ficers over the course of a shift and were trained to unobtrusively take brief field notes on their behavior.

    4.1. Research Questions

    4.1.2 GOING NATIVE This study will examine two research questions related to going native. First, are
    observers becoming socialized by officers and developing more positive attitudes toward the police over the
    course of fieldwork? Second, do these shifts in observer attitudes toward police (ATP) predict whether ob-
    servers help police officers and/or participate in police work?

    5. RESULTS

    5.2. Going Native

    In Table 2, the impact of going native in POPN observational data is assessed by examining: (1) shifts in ob-
    server's attitudes toward police (ATP) over the course of fieldwork and (2) the probability that an observer will
    participate during fieldwork by helping with police work. Panel A in Table 2 addresses the first issue by examin-
    ing observer surveys (N = 32) that were completed before the start of fieldwork (Ti—see column one) and im-
    mediately following fieldwork (I2—see column two). Observer's ATP became more positive between Ti and T2
    for the fast three out of four attitudinal measures, but this change is only statistically significant at the .05 level for
    one out of the three measures (see Panel A). For the fourth measure, there was no change in observer ATP

    24 Chapter 1 • Introduction

    TABLE 2…. Assessing the impact of observer.bias on police observational data: going native as a
    shift in observer's attitudes toward police and observer's level of participation impolite
    work (observer effects)

    Before Fieldwork (TI) After Fieldwork (12)

    (A) Observer's attitudes toward police (ATP): mean
    comparison
    Do police discriminate toward certain groups?
    (coded 0,1 where 1 = never or rarely) .13 .28
    Would you approve if an officer struck a citizen who
    was attacking the officer with his/her fists? (coded
    0,1 where 1 = yes) •84 •94
    Would you approve if an officer struck a citizen
    attempting to escape custody?
    (coded 0,1 where 1 = yes) 59**,a •72
    Would you approve if an officer struck a citizen who
    said vulgar or obscene things to the officer?
    (coded 0,1 where 1 = yes) .00 .00
    N (number of observers who completed both Ti and
    T2 observer surveys) 32 32

    Observer Effects

    Observer Helps Police Observer Helps with
    OfficerC Police Workd

    (B) The relationship between change in ATPb and
    observer effects: odds ratios from logistic regression
    Observers with more positive ATP (P2 >11) 50*,e .54
    Observers with no change in ATP (12 = Ti) f _
    Observers with more negative ATP (12 <T1) 1.25 .69
    Initial ATP (before fieldwork) 2.07** 2.46**
    Model, 19.3***
    N (number of shifts where observers completed both
    Ti and 12 observer surveys) 598 598

    (A) Observer's attitudes toward police (ATP): mean comparison.
    °Two-tailed significance level indicated by a test of independence.
    bMeasures of change in ATP in Panel B were derived from an additive scale of the fast three observer survey questions
    from TI and T2 in Panel A. This more general measure of ATP at TI and T2 ranged from zero to three. To determine if
    the observer's ATP became more positive (T2 > TI), stayed the same (T2 = Ti), or more negative (T2 < TI), scores on
    this additive scale were compared as described above.
    `Dichotomous coding derived from descriptive data on reactivity (1 =rides where the observer helps patrol officer) (see
    Spano, 2003 for a more detailed description).
    `Level of statistical significance is derived from odds ratios from multivariate logistic regression.
    (Observers with no change in ATP is the comparison group.
    *p<.1 """p<.05 ***p<.01 i

    Panel B in Table 2 addresses the second issue by investigating whether observers with more positive
    ATP are more likely to "participate" during fieldwork by helping police officers. An additive scale was devel-
    oped using the observer's first three attitudinal measures from Panel A from Ti and T2. Observer's ATP were
    categorized as more positive if this additive scale of ATP at T2 was greater than ATP at Ti. If there was no
    change in ATP, then T2 and Ti ATP were equal. Finally, observer's ATPs were categorized as more negative if
    T2 was less than Ti ATP.

    Two measures of observer participation (or observer effects) were derived from a dichotomous coding
    scheme derived from descriptive and quantitative data on reactivity (see Spano, 2002, 2003, for a more detailed
    description). Column one in Panel B contains rides where observers helped police officers in any capacity. This
    measure includes more mundane and innocent forms of participation (e.g., the observer tells the officer that s/he
    left his/her lights on or offers advice when asked about whether to pull over a vehicle) to instances when ob-
    servers helped officers with police work (e.g., holding handcuffs or helping to fill out paperwork, arrest and/or
    detain suspects) (see column one in Panel B) (Spano, 2002). Column two in Panel B is a subset of cases from
    the q»aiitative coding in Column one where observers helped the officer with police work

    Panel B examines shifts where observers completed both TI and T2 observer surveys (N= 598). Ob-
    servers with more positive ATP (T2 > Ti), no change in ATP (T2 = Ti), and more negative ATP (T2 <T1)
    were regressed on the two dichotomous measures of observer effects discussed above using multivariate lo-
    gistic regression after controlling for the observer's initial ATP before fieldwork. Observers with more pos-
    itive ATP are about 50% less likely to help police officers (see column one in Panel B). Although this

    I I'

    Chapter 1 • Introduction 25

    relationship is marginally significant (p < .l), the direction of the effect is not in the expected direction. Ob-
    servers with more positive ATP are not more likely to help police officers or participate in police work,
    which would be consistent with going native. In fact, this finding suggests exactly the opposite.

    6. IS RAPPORT A PROBLEM (GOING NATIVE) OR A SOLUTION (REACTIVITY)?

    Another contradiction in the methodological field research literature relates to rapport. The development of
    rapport is essential to minimize reactivity to get research subjects to feel comfortable and trust observers,
    and to act naturally while under observation. Reactivity suggests that, for example, too little rapport be-
    tween police officers and observers can cause police officers to engage in atypical behavior and thus under-
    mine the validity of observational data collected during the early stages of fieldwork. In contrast, going
    native suggests the opposite: Too much rapport between observers and research subjects will affect the ac-
    curacy of data collected at later stages of fieldwork. Going native could be rationalized as a way of mitigat-
    ing reactivity by establishing a high level of rapport with those being observed. However, Miller (1952)
    observed that friendship is based on an all-accepting outlook that can limit the depth of an observer's inves-
    tigation into and criticism of the behavior of research subjects (see also Van Maanen, 1983a, 1983b). Thus,
    going native could limit the scope, the depth, and the accuracy of observational data.

    1. SUMMARYAND CONCLUSION

    Observers are a potential source of bias for two reasons. First, observers are part of the context of observed
    behavior. As a result, the research subject could react to the presence of the observer and behave atypically
    (reactivity). Second, observers are also data collection instruments. Thus, the quality of observational data
    could be undermined if observers become resocialized, contaminate observational data by participating in
    police work, and/or document inaccurate observational data (going native).

    The relevance of these Endings is not limited to the field of criminology and criminal justice. Ethno-
    graphers, researchers who conduct face-to-face interviews, and child development researchers who "unob-
    trusively" study the interactions between parents and children (to name a few) all collect and utilize
    observational data to further our scientific understanding of various real-world phenomenon and use of
    force behavior, needed to be statistically significant. Second, the direction of the relationship between
    measures of observer bias and the outcome measures also needed to be consistent with hypothesized effects
    specified as research questions for reactivity, going native, and burnout.

    The analyses of POPN descriptive and quantitative data focused on observer bias (going native) and
    revealed key findings. One key finding is the very limited support for observer bias in the form of going na-
    tive and burnout. On the surface, observers' ATP became more positive over the course of fieldwork in
    terms of absolute change, but the change in ATP was statistically significant for only one of four measures.
    In addition, findings from multivariate logistic regression were marginally significant (p < .1) and showed
    that observers whose ATP became more positive over the course of fieldwork were less likely to "partici-
    pate" in the form of helping officers for one out of two measures of observer effects. In contrast, the litera-
    ture and logic of going native would predict that these observers would be the most likely to participate in
    police work.

    Future research should include additional control variables to rule out alternative explanations for
    patrol officer arrest and use of force behavior. To further explore the robustness of these findings, multi-
    variate analyses should be conducted to determine if observer bias is a significant predictor of, for exam-
    ple, arrest and use of force behavior net of a variety of control variables (e.g., officer work orientation,
    suspect characteristics, and situational factors). If the significant effect is suppressed in the "full" multi-
    variate model, then it is presumed that observer bias has not substantively affected the quality of police ob-
    servational data.

    References

    Adler, P.A., 1985. Wheeling and Dealing. Columbia University Press, New York.
    Adler, P.A., Adler, P, 1987. Membership Roles in Field Research. Sage Publications, Newbury Park, CA.
    Denzin, N.K., Lincoln, Y.S., 2000. The discipline and practice of qualitative research. In: Denzin, N.K , Lincoln,

    Y.S. (Fels.), Handbook of Qualitative Research, second ed. Sage Publications, Thousand Oaks, CA, pp. 1-28.
    DeWalt, K.M., DeWalt, B.R., 2002. Participant Observation: A Guide for Fieldworkers. A1taMira Press,

    New York.
    Emerson, R.M., 2002a. Introduction: the development of ethnographic field research. In: Emerson, R.M.

    (Ed.), Contemporary Field Research: Perspectives and Formulations, second ed. Waveland Press,
    Prospect Heights, 1L, pp. 1-26.

    Emerson, R.M., 2002b. Fieldwork Practice: issues in participant observation. In: Emerson, R.M. (Ed.),
    Contemporary Field Research: Perspectives and Formulations, second ed. Waveland Press, Prospect
    Heights, IL, pp. 113-151.

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    Module 2
    Motivation and Emotion

    PSYC 405 Physiological Psychology

    Objectives

    At the end of the module, the student will be able to:

    Identify the neurophysiology of basic emotions.

    Describe the importance and functions of the autonomic
    nervous system.

    Introduction

    ■ Motivation is the factor that directs and activates the
    behavior of humans and other organisms. It can also be
    defined as an internal, activating, energizing state that
    initiates and maintains a behavior towards an objective.
    Emotions and needs are motives that can guide human
    behavior. Two types of behavior have been distinguished.
    The first is the one that sets itself in motion intrinsically, does
    not depend on circumstances and even, in some cases,
    could be the result of instincts, biology and evolution. The
    second is puts it into practice to achieve a goal that is
    external to the person and is mostly motivated extrinsically.

    Motivation and Emotion

    ■ Motivation and Emotion: Biological and Evolutionary Bases

    ■ The motive is an internal driving force, a specific need or desire.

    ■ Emotion as well as motives activate behavior. Ex.The fear, joy, or

    surprise that underlies the behavior, it’s important for survival.

    ■ It is more difficult to predict the type of behavior that a particular

    emotion will produce. On the contrary, the needs are more

    predictable, for example, if a person is hungry, we can quite safely

    deduce that he will look for food.

    Needs

    ■ The needs are those whose satisfaction depends on the survival of

    the person. Therefore, the needs are what motivate the behavior of

    eating, sleeping, hydrating. These are needs related to maintaining

    the minimum standards that allow the body and people to function

    properly.

    Motivation and
    Emotion

    • Maslow's hierarchy:

    Ordering motivational needs.

    • This approach points out that

    before more complex higher-

    order needs can be met, some

    primary (physiological) needs

    must be met.

    Love

    ■ Maslow places it as a necessity: Affective need.

    ■ Love is not an emotion because emotions are short-lived, and love
    is long-lasting, so it is distinguished as a feeling like happiness and
    hatred. They all look alike, dopamine goes up, serotonin goes down
    and the frontal lobe blocks quite a bit. This is, physiologically, love
    and hate are similar, except that in love the frontal lobe is blocked
    quite a lot and in hate almost not, this could explain why with hate
    we can plan a revenge very well.

    Love

    ■ Another conclusion.

    ■ If physiologically love and hate are equal, they are not opposites.
    That is, the opposite of love is not hatred but indifference. It is even
    quoted later when we get upset with someone, we think about that
    person 85% of times a day.

    Emotions as Evolutionary Expressions

    ■ According to the theory of discrete emotions, emotions have

    biological roots and fulfill evolutionary functions. Each emotion is

    associated with a specific physiological response that is essentially

    the same for everyone.

    Motivation and Emotion

    One of the evidences about the evolutionary (instinctive) role of emotions is
    that they arise in the first months of a human being's life, before the parents
    have had the opportunity to shape them through socialization.

    By 6 weeks babies begin to smile whenever they see a face they like, they
    also frown and cry when left alone. That some emotional expressions arise
    even without direct reinforcement suggests that they are innate or
    instinctive.

    It is added that emotions come from the Emotional Brain (limbic system) to
    the Autonomous Nervous System (unconscious) from where unconscious
    behaviors such as breathing and beating the heart come.

    Neuron Anatomy

    ■ Neurons, like any cell, contain DNA, genetic memory, evolutionary.

    Motivation and Emotion

    These neurons communicate with each other via neurotransmitters.

    Serotonin: another inhibitory neurotransmitter affects the emotions of pain
    (that's why it rises in sadness). It is known as the mood molecule.

    Oxytocin: friendship, attachment (it is secreted when we cry, so that others
    help us, and the woman secretes it in stress and when breastfeeding).

    Melatonin: Hormone medicine and anti-aging, decreases with age.

    Motivation and Emotion

    ■ Cortisol: stress and aging hormone. Excess, Cushing’s Syndrome,

    memory loss because it reduces the gray matter of the

    hippocampus.

    ■ Dopamine: the hormone of love and pleasure. Chocolate

    increases phenylethylamine and dopamine levels so it is given
    away on the Day of Love and Friendship, it can also be a pleasant
    antidepressant.

    Neurotransmitters

    • When we are in love there is an

    organic compound that
    dominates us completely:
    phenylethylamine.

    • As the word itself already

    indicates, we are facing an
    element that shares many
    similarities with amphetamines
    and that, combined in turn with
    dopamine and serotonin,
    synthesizes the perfect recipe for
    a movie love.

    • Then oxytocin appears.

    Motivation and Emotion

    ■ It is like a biological device that
    seeks to "intensify" all our
    emotions.

    ■ Phenylethylamine is like sugar
    in a drink or varnish that we put
    on a canvas: everything makes
    it more intense. It is she who
    intensifies the action of
    dopamine and serotonin, she
    who constitutes the authentic
    chemistry of love to make us
    feel happy, fulfilled and
    incredibly motivated.

    Motivation and Emotion

    • When the limbic system (emotional brain)

    detects a situation that requires importance, it
    blocks the cerebral cortex.

    • The autonomous system takes over….

    • Frontal lobe

    • Blocked

    • Same in love, but not for hatred

    • For that you can plan revenge

    • If the amygdala, considers that a stimulus is
    dangerous, it will alert the hypothalamus so
    that it produces the necessary changes in the
    body to face the danger. In 125 milliseconds,
    half a blink and active sympathetic
    autonomous system.

    Emotional Brain

    ■ Once an experience of

    pain or pleasure is lived, it

    is filed in emotional

    memory.

    ■ Painful neuro fusions occur

    more quickly and intensely

    than pleasant ones,

    because in adaptive terms

    escaping danger is more

    important than

    approaching something

    pleasant: ENGRAMS.

    Motivation

    and Emotion

    Motivation and Emotion

    ■ The sympathetic nervous system
    mainly has the neurotransmitters
    adrenaline and noradrenaline. It
    has been during evolution in
    charge of generating fight-or-
    flight responses to external
    stimuli.

    ■ Therefore, it is responsible for

    increasing heart rate, dilating the
    bronchi of the lung, pupils,
    causing erections, increasing
    blood pressure, among other
    things.

    Motivation and Emotion

    • The parasympathetic nervous

    system, on the other hand, is a

    branch of the nervous system that

    relaxes and calms the body so that

    it recovers the energy expended in

    the sympathetic.

    • Activation of this system causes

    the heart rate to decrease, the

    pupil to contract, the stomach

    muscles to relax.

    Basic Emotions Look Alike

    ■ Emotions are similar because

    they are processed by the

    limbic system, and you can

    laugh at a scary situation or cry

    with another emotion that is

    sadness.

    Joy

    ■ Up dopamine, low serotonin as in love and courage …… and is

    glued by mirror neurons.

    ■ It is important for survival because it boosts the immune system.

    Laughter lasts approximately 6 seconds, moves 17 muscles,

    activates circulation, strengthens the abdominal area and releases

    endorphins that reduce physical and emotional pain.

    Motivation and
    Emotion

    • You can die of laughter, before
    you tortured yourself with tickles.

    • In its extreme Syndrome of

    Stendhal or Florence Syndrome a

    very strong good emotion and the

    parasympathetic system is

    activated, you can faint.

    Motivation and Emotion

    ■ Jealousy (dopamine goes up and serotonin goes up) is an adaptive

    emotion that allows us to alert ourselves to a threat such as the

    appearance of a possible personal and relational competition.

    ■ A normal fear of the possible loss of the loved one (partner, father,
    mother, friend), including loss of attention: that our mother will pay
    more attention to our younger brother, or the partner will pay more
    attention to their co-workers (envy).

    Motivation

    and

    Emotion

    Jealousy
    men vs
    women

    Men show more jealousy for sexual
    infidelity, considerable support for the
    emphasis of the evolutionary perspective on
    paternal uncertainty.

    Women are jealous of emotional infidelity.

    Sexual infidelity does not affect a woman's
    ability to reproduce, but emotional infidelity
    (falling in love with another and redirecting
    resources to another) could jeopardize her
    ability (evolutionary perspective).

    Motivation

    and

    Emotion

    ■ Emotions, sympathetic autonomic nervous

    system, dopamine goes up and serotonin

    goes down, there's almost no rational thinking

    ■ Fear, the first and most important of

    emotions;

    1. Increase the heartbeat, open the mouth, do

    not blink

    2. The skin becomes icy because it serves as

    anesthesia, lowers the temperature of the

    body "I got cold, I felt a bath of cold water",

    sweats cold for adrenaline so that they can

    not grab us, we become slippery

    3. Fear is easily spread by chemistry; a

    terrorist leader can use it to spread and

    terrorize a people

    Motivation

    and Emotion

    ■ Courage

    ■ Courage is the manifestation of self-esteem and dignity; it is

    what allows you to say, "enough is enough". Dopamine goes

    up and serotonin goes down.

    ■ By the amygdala when we get upset with someone, we
    think 85% of times a day.

    Sadness

    ■ Sadness (also disappointment that allows love to end

    immediately), is the emotion that physiologically is different, low

    dopamine (happiness hormone) and serotonin rises (emotion pain).

    ■ Crying accelerates metabolism secretes more glucose, the emotion

    that spends the most energy, after crying you need to sleep.

    Motivation and Emotion

    ■ Important to survive, self-analyze and not enter denials YOU

    THINK. We drink tears because it contains painkillers, women's

    tears have low testosterone in men (by chemistry).

    ■ Music when one is sad is analyzed more.

    ■ Oxytocin is secreted, and people help us.

    ■ As in all emotions, hunger may vaguely arise, but not appetite, it is

    suppressed. As it is an emotion in which you are more intelligent,

    the appetite can be suppressed because the less you eat.

    Summary

    In this module, you learned about motivation and emotion.

    Now that you have completed the work, you are prepared to:

    • Identify the neurophysiology of basic emotions.

    • Describe the importance and functions of the autonomic nervous

    system.

    Next week, we move on to dreams and neurobiology . If you have any

    outstanding questions about what you learned this week, please add

    them to the Course Question and Answer Forum for your professor to

    clarify.

    References

    Kalat, J. (2017). Biological psychology. (13th ed.). Cengage.

    Neil, R., & Carlson, A. (1996). Fundamentals of physiological psychology. Pearson.

    – Objectives
    – Introduction
    – Motivation and Emotion
    – Needs
    – Motivation and Emotion

    – Love
    – Love
    – Emotions as Evolutionary Expressions
    – Motivation and Emotion

    – Neuron Anatomy

    – Motivation and Emotion

    – Motivation and Emotion
    – Neurotransmitters
    – Motivation and Emotion
    – Emotional Brain

    – Motivation and Emotion
    – Motivation and Emotion
    – Motivation and Emotion
    – Basic Emotions Look Alike
    – Joy

    – Motivation and Emotion

    – Motivation and Emotion

    – Motivation and Emotion
    – Motivation and Emotion
    – Motivation and Emotion
    – ■ Courage
    – Sadness
    – Motivation and Emotion
    – Summary
    – References
    – ,congratulations you have reviewed the theoretical!summary of this week's topic!

    **## PPmodule2class.pdf**

    Module 2
    Motivation and Emotion

    PSYC 405 Physiological Psychology

    Objectives

    At the end of the module, the student will be able to:

    Identify the neurophysiology of basic emotions.

    Describe the importance and functions of the autonomic
    nervous system.

    Introduction

    ■ Motivation is the factor that directs and activates the
    behavior of humans and other organisms. It can also be
    defined as an internal, activating, energizing state that
    initiates and maintains a behavior towards an objective.
    Emotions and needs are motives that can guide human
    behavior. Two types of behavior have been distinguished.
    The first is the one that sets itself in motion intrinsically, does
    not depend on circumstances and even, in some cases,
    could be the result of instincts, biology and evolution. The
    second is puts it into practice to achieve a goal that is
    external to the person and is mostly motivated extrinsically.

    Motivation and Emotion

    ■ Motivation and Emotion: Biological and Evolutionary Bases

    ■ The motive is an internal driving force, a specific need or desire.

    ■ Emotion as well as motives activate behavior. Ex.The fear, joy, or

    surprise that underlies the behavior, it’s important for survival.

    ■ It is more difficult to predict the type of behavior that a particular

    emotion will produce. On the contrary, the needs are more

    predictable, for example, if a person is hungry, we can quite safely

    deduce that he will look for food.

    Needs

    ■ The needs are those whose satisfaction depends on the survival of

    the person. Therefore, the needs are what motivate the behavior of

    eating, sleeping, hydrating. These are needs related to maintaining

    the minimum standards that allow the body and people to function

    properly.

    Motivation and
    Emotion

    • Maslow's hierarchy:

    Ordering motivational needs.

    • This approach points out that

    before more complex higher-

    order needs can be met, some

    primary (physiological) needs

    must be met.

    Love

    ■ Maslow places it as a necessity: Affective need.

    ■ Love is not an emotion because emotions are short-lived, and love
    is long-lasting, so it is distinguished as a feeling like happiness and
    hatred. They all look alike, dopamine goes up, serotonin goes down
    and the frontal lobe blocks quite a bit. This is, physiologically, love
    and hate are similar, except that in love the frontal lobe is blocked
    quite a lot and in hate almost not, this could explain why with hate
    we can plan a revenge very well.

    Love

    ■ Another conclusion.

    ■ If physiologically love and hate are equal, they are not opposites.
    That is, the opposite of love is not hatred but indifference. It is even
    quoted later when we get upset with someone, we think about that
    person 85% of times a day.

    Emotions as Evolutionary Expressions

    ■ According to the theory of discrete emotions, emotions have

    biological roots and fulfill evolutionary functions. Each emotion is

    associated with a specific physiological response that is essentially

    the same for everyone.

    Motivation and Emotion

    One of the evidences about the evolutionary (instinctive) role of emotions is
    that they arise in the first months of a human being's life, before the parents
    have had the opportunity to shape them through socialization.

    By 6 weeks babies begin to smile whenever they see a face they like, they
    also frown and cry when left alone. That some emotional expressions arise
    even without direct reinforcement suggests that they are innate or
    instinctive.

    It is added that emotions come from the Emotional Brain (limbic system) to
    the Autonomous Nervous System (unconscious) from where unconscious
    behaviors such as breathing and beating the heart come.

    Neuron Anatomy

    ■ Neurons, like any cell, contain DNA, genetic memory, evolutionary.

    Motivation and Emotion

    These neurons communicate with each other via neurotransmitters.

    Serotonin: another inhibitory neurotransmitter affects the emotions of pain
    (that's why it rises in sadness). It is known as the mood molecule.

    Oxytocin: friendship, attachment (it is secreted when we cry, so that others
    help us, and the woman secretes it in stress and when breastfeeding).

    Melatonin: Hormone medicine and anti-aging, decreases with age.

    Motivation and Emotion

    ■ Cortisol: stress and aging hormone. Excess, Cushing’s Syndrome,

    memory loss because it reduces the gray matter of the

    hippocampus.

    ■ Dopamine: the hormone of love and pleasure. Chocolate

    increases phenylethylamine and dopamine levels so it is given
    away on the Day of Love and Friendship, it can also be a pleasant
    antidepressant.

    Neurotransmitters

    • When we are in love there is an

    organic compound that
    dominates us completely:
    phenylethylamine.

    • As the word itself already

    indicates, we are facing an
    element that shares many
    similarities with amphetamines
    and that, combined in turn with
    dopamine and serotonin,
    synthesizes the perfect recipe for
    a movie love.

    • Then oxytocin appears.

    Motivation and Emotion

    ■ It is like a biological device that
    seeks to "intensify" all our
    emotions.

    ■ Phenylethylamine is like sugar
    in a drink or varnish that we put
    on a canvas: everything makes
    it more intense. It is she who
    intensifies the action of
    dopamine and serotonin, she
    who constitutes the authentic
    chemistry of love to make us
    feel happy, fulfilled and
    incredibly motivated.

    Motivation and Emotion

    • When the limbic system (emotional brain)

    detects a situation that requires importance, it
    blocks the cerebral cortex.

    • The autonomous system takes over….

    • Frontal lobe

    • Blocked

    • Same in love, but not for hatred

    • For that you can plan revenge

    • If the amygdala, considers that a stimulus is
    dangerous, it will alert the hypothalamus so
    that it produces the necessary changes in the
    body to face the danger. In 125 milliseconds,
    half a blink and active sympathetic
    autonomous system.

    Emotional Brain

    ■ Once an experience of

    pain or pleasure is lived, it

    is filed in emotional

    memory.

    ■ Painful neuro fusions occur

    more quickly and intensely

    than pleasant ones,

    because in adaptive terms

    escaping danger is more

    important than

    approaching something

    pleasant: ENGRAMS.

    Motivation

    and Emotion

    Motivation and Emotion

    ■ The sympathetic nervous system
    mainly has the neurotransmitters
    adrenaline and noradrenaline. It
    has been during evolution in
    charge of generating fight-or-
    flight responses to external
    stimuli.

    ■ Therefore, it is responsible for

    increasing heart rate, dilating the
    bronchi of the lung, pupils,
    causing erections, increasing
    blood pressure, among other
    things.

    Motivation and Emotion

    • The parasympathetic nervous

    system, on the other hand, is a

    branch of the nervous system that

    relaxes and calms the body so that

    it recovers the energy expended in

    the sympathetic.

    • Activation of this system causes

    the heart rate to decrease, the

    pupil to contract, the stomach

    muscles to relax.

    Basic Emotions Look Alike

    ■ Emotions are similar because

    they are processed by the

    limbic system, and you can

    laugh at a scary situation or cry

    with another emotion that is

    sadness.

    Joy

    ■ Up dopamine, low serotonin as in love and courage …… and is

    glued by mirror neurons.

    ■ It is important for survival because it boosts the immune system.

    Laughter lasts approximately 6 seconds, moves 17 muscles,

    activates circulation, strengthens the abdominal area and releases

    endorphins that reduce physical and emotional pain.

    Motivation and
    Emotion

    • You can die of laughter, before
    you tortured yourself with tickles.

    • In its extreme Syndrome of

    Stendhal or Florence Syndrome a

    very strong good emotion and the

    parasympathetic system is

    activated, you can faint.

    Motivation and Emotion

    ■ Jealousy (dopamine goes up and serotonin goes up) is an adaptive

    emotion that allows us to alert ourselves to a threat such as the

    appearance of a possible personal and relational competition.

    ■ A normal fear of the possible loss of the loved one (partner, father,
    mother, friend), including loss of attention: that our mother will pay
    more attention to our younger brother, or the partner will pay more
    attention to their co-workers (envy).

    Motivation

    and

    Emotion

    Jealousy
    men vs
    women

    Men show more jealousy for sexual
    infidelity, considerable support for the
    emphasis of the evolutionary perspective on
    paternal uncertainty.

    Women are jealous of emotional infidelity.

    Sexual infidelity does not affect a woman's
    ability to reproduce, but emotional infidelity
    (falling in love with another and redirecting
    resources to another) could jeopardize her
    ability (evolutionary perspective).

    Motivation

    and

    Emotion

    ■ Emotions, sympathetic autonomic nervous

    system, dopamine goes up and serotonin

    goes down, there's almost no rational thinking

    ■ Fear, the first and most important of

    emotions;

    1. Increase the heartbeat, open the mouth, do

    not blink

    2. The skin becomes icy because it serves as

    anesthesia, lowers the temperature of the

    body "I got cold, I felt a bath of cold water",

    sweats cold for adrenaline so that they can

    not grab us, we become slippery

    3. Fear is easily spread by chemistry; a

    terrorist leader can use it to spread and

    terrorize a people

    Motivation

    and Emotion

    ■ Courage

    ■ Courage is the manifestation of self-esteem and dignity; it is

    what allows you to say, "enough is enough". Dopamine goes

    up and serotonin goes down.

    ■ By the amygdala when we get upset with someone, we
    think 85% of times a day.

    Sadness

    ■ Sadness (also disappointment that allows love to end

    immediately), is the emotion that physiologically is different, low

    dopamine (happiness hormone) and serotonin rises (emotion pain).

    ■ Crying accelerates metabolism secretes more glucose, the emotion

    that spends the most energy, after crying you need to sleep.

    Motivation and Emotion

    ■ Important to survive, self-analyze and not enter denials YOU

    THINK. We drink tears because it contains painkillers, women's

    tears have low testosterone in men (by chemistry).

    ■ Music when one is sad is analyzed more.

    ■ Oxytocin is secreted, and people help us.

    ■ As in all emotions, hunger may vaguely arise, but not appetite, it is

    suppressed. As it is an emotion in which you are more intelligent,

    the appetite can be suppressed because the less you eat.

    Summary

    In this module, you learned about motivation and emotion.

    Now that you have completed the work, you are prepared to:

    • Identify the neurophysiology of basic emotions.

    • Describe the importance and functions of the autonomic nervous

    system.

    Next week, we move on to dreams and neurobiology . If you have any

    outstanding questions about what you learned this week, please add

    them to the Course Question and Answer Forum for your professor to

    clarify.

    References

    Kalat, J. (2017). Biological psychology. (13th ed.). Cengage.

    Neil, R., & Carlson, A. (1996). Fundamentals of physiological psychology. Pearson.

    – Objectives
    – Introduction
    – Motivation and Emotion
    – Needs
    – Motivation and Emotion

    – Love
    – Love
    – Emotions as Evolutionary Expressions
    – Motivation and Emotion

    – Neuron Anatomy

    – Motivation and Emotion

    – Motivation and Emotion
    – Neurotransmitters
    – Motivation and Emotion
    – Emotional Brain

    – Motivation and Emotion
    – Motivation and Emotion
    – Motivation and Emotion
    – Basic Emotions Look Alike
    – Joy

    – Motivation and Emotion

    – Motivation and Emotion

    – Motivation and Emotion
    – Motivation and Emotion
    – Motivation and Emotion
    – ■ Courage
    – Sadness
    – Motivation and Emotion
    – Summary
    – References
    – ,congratulations you have reviewed the theoretical!summary of this week's topic!

    **## PPmdule2Journal.docx**

    _Journal_

    **Instructions:**

    1. Based on what you have read and learned in this module, explain how the content can be applied to your life and personal experiences.

    2. Please submit your response in a Word document.

    Be sure to review the
    [academic expectations](https://agmu.instructure.com/courses/1876/pages/expectations-and-best-practices-for-assignments) for your submission.

    **Submission Instructions:**

    · Submit your assignment by 11:59 PM Eastern on Sunday.

    · Review the rubric to determine how your assignment will be graded.

    · Your assignment will be run through Turnitin to check for plagiarism.

    **## PPmodule2class.pdf**

    Module 2
    Motivation and Emotion

    PSYC 405 Physiological Psychology

    Objectives

    At the end of the module, the student will be able to:

    Identify the neurophysiology of basic emotions.

    Describe the importance and functions of the autonomic
    nervous system.

    Introduction

    ■ Motivation is the factor that directs and activates the
    behavior of humans and other organisms. It can also be
    defined as an internal, activating, energizing state that
    initiates and maintains a behavior towards an objective.
    Emotions and needs are motives that can guide human
    behavior. Two types of behavior have been distinguished.
    The first is the one that sets itself in motion intrinsically, does
    not depend on circumstances and even, in some cases,
    could be the result of instincts, biology and evolution. The
    second is puts it into practice to achieve a goal that is
    external to the person and is mostly motivated extrinsically.

    Motivation and Emotion

    ■ Motivation and Emotion: Biological and Evolutionary Bases

    ■ The motive is an internal driving force, a specific need or desire.

    ■ Emotion as well as motives activate behavior. Ex.The fear, joy, or

    surprise that underlies the behavior, it’s important for survival.

    ■ It is more difficult to predict the type of behavior that a particular

    emotion will produce. On the contrary, the needs are more

    predictable, for example, if a person is hungry, we can quite safely

    deduce that he will look for food.

    Needs

    ■ The needs are those whose satisfaction depends on the survival of

    the person. Therefore, the needs are what motivate the behavior of

    eating, sleeping, hydrating. These are needs related to maintaining

    the minimum standards that allow the body and people to function

    properly.

    Motivation and
    Emotion

    • Maslow's hierarchy:

    Ordering motivational needs.

    • This approach points out that

    before more complex higher-

    order needs can be met, some

    primary (physiological) needs

    must be met.

    Love

    ■ Maslow places it as a necessity: Affective need.

    ■ Love is not an emotion because emotions are short-lived, and love
    is long-lasting, so it is distinguished as a feeling like happiness and
    hatred. They all look alike, dopamine goes up, serotonin goes down
    and the frontal lobe blocks quite a bit. This is, physiologically, love
    and hate are similar, except that in love the frontal lobe is blocked
    quite a lot and in hate almost not, this could explain why with hate
    we can plan a revenge very well.

    Love

    ■ Another conclusion.

    ■ If physiologically love and hate are equal, they are not opposites.
    That is, the opposite of love is not hatred but indifference. It is even
    quoted later when we get upset with someone, we think about that
    person 85% of times a day.

    Emotions as Evolutionary Expressions

    ■ According to the theory of discrete emotions, emotions have

    biological roots and fulfill evolutionary functions. Each emotion is

    associated with a specific physiological response that is essentially

    the same for everyone.

    Motivation and Emotion

    One of the evidences about the evolutionary (instinctive) role of emotions is
    that they arise in the first months of a human being's life, before the parents
    have had the opportunity to shape them through socialization.

    By 6 weeks babies begin to smile whenever they see a face they like, they
    also frown and cry when left alone. That some emotional expressions arise
    even without direct reinforcement suggests that they are innate or
    instinctive.

    It is added that emotions come from the Emotional Brain (limbic system) to
    the Autonomous Nervous System (unconscious) from where unconscious
    behaviors such as breathing and beating the heart come.

    Neuron Anatomy

    ■ Neurons, like any cell, contain DNA, genetic memory, evolutionary.

    Motivation and Emotion

    These neurons communicate with each other via neurotransmitters.

    Serotonin: another inhibitory neurotransmitter affects the emotions of pain
    (that's why it rises in sadness). It is known as the mood molecule.

    Oxytocin: friendship, attachment (it is secreted when we cry, so that others
    help us, and the woman secretes it in stress and when breastfeeding).

    Melatonin: Hormone medicine and anti-aging, decreases with age.

    Motivation and Emotion

    ■ Cortisol: stress and aging hormone. Excess, Cushing’s Syndrome,

    memory loss because it reduces the gray matter of the

    hippocampus.

    ■ Dopamine: the hormone of love and pleasure. Chocolate

    increases phenylethylamine and dopamine levels so it is given
    away on the Day of Love and Friendship, it can also be a pleasant
    antidepressant.

    Neurotransmitters

    • When we are in love there is an

    organic compound that
    dominates us completely:
    phenylethylamine.

    • As the word itself already

    indicates, we are facing an
    element that shares many
    similarities with amphetamines
    and that, combined in turn with
    dopamine and serotonin,
    synthesizes the perfect recipe for
    a movie love.

    • Then oxytocin appears.

    Motivation and Emotion

    ■ It is like a biological device that
    seeks to "intensify" all our
    emotions.

    ■ Phenylethylamine is like sugar
    in a drink or varnish that we put
    on a canvas: everything makes
    it more intense. It is she who
    intensifies the action of
    dopamine and serotonin, she
    who constitutes the authentic
    chemistry of love to make us
    feel happy, fulfilled and
    incredibly motivated.

    Motivation and Emotion

    • When the limbic system (emotional brain)

    detects a situation that requires importance, it
    blocks the cerebral cortex.

    • The autonomous system takes over….

    • Frontal lobe

    • Blocked

    • Same in love, but not for hatred

    • For that you can plan revenge

    • If the amygdala, considers that a stimulus is
    dangerous, it will alert the hypothalamus so
    that it produces the necessary changes in the
    body to face the danger. In 125 milliseconds,
    half a blink and active sympathetic
    autonomous system.

    Emotional Brain

    ■ Once an experience of

    pain or pleasure is lived, it

    is filed in emotional

    memory.

    ■ Painful neuro fusions occur

    more quickly and intensely

    than pleasant ones,

    because in adaptive terms

    escaping danger is more

    important than

    approaching something

    pleasant: ENGRAMS.

    Motivation

    and Emotion

    Motivation and Emotion

    ■ The sympathetic nervous system
    mainly has the neurotransmitters
    adrenaline and noradrenaline. It
    has been during evolution in
    charge of generating fight-or-
    flight responses to external
    stimuli.

    ■ Therefore, it is responsible for

    increasing heart rate, dilating the
    bronchi of the lung, pupils,
    causing erections, increasing
    blood pressure, among other
    things.

    Motivation and Emotion

    • The parasympathetic nervous

    system, on the other hand, is a

    branch of the nervous system that

    relaxes and calms the body so that

    it recovers the energy expended in

    the sympathetic.

    • Activation of this system causes

    the heart rate to decrease, the

    pupil to contract, the stomach

    muscles to relax.

    Basic Emotions Look Alike

    ■ Emotions are similar because

    they are processed by the

    limbic system, and you can

    laugh at a scary situation or cry

    with another emotion that is

    sadness.

    Joy

    ■ Up dopamine, low serotonin as in love and courage …… and is

    glued by mirror neurons.

    ■ It is important for survival because it boosts the immune system.

    Laughter lasts approximately 6 seconds, moves 17 muscles,

    activates circulation, strengthens the abdominal area and releases

    endorphins that reduce physical and emotional pain.

    Motivation and
    Emotion

    • You can die of laughter, before
    you tortured yourself with tickles.

    • In its extreme Syndrome of

    Stendhal or Florence Syndrome a

    very strong good emotion and the

    parasympathetic system is

    activated, you can faint.

    Motivation and Emotion

    ■ Jealousy (dopamine goes up and serotonin goes up) is an adaptive

    emotion that allows us to alert ourselves to a threat such as the

    appearance of a possible personal and relational competition.

    ■ A normal fear of the possible loss of the loved one (partner, father,
    mother, friend), including loss of attention: that our mother will pay
    more attention to our younger brother, or the partner will pay more
    attention to their co-workers (envy).

    Motivation

    and

    Emotion

    Jealousy
    men vs
    women

    Men show more jealousy for sexual
    infidelity, considerable support for the
    emphasis of the evolutionary perspective on
    paternal uncertainty.

    Women are jealous of emotional infidelity.

    Sexual infidelity does not affect a woman's
    ability to reproduce, but emotional infidelity
    (falling in love with another and redirecting
    resources to another) could jeopardize her
    ability (evolutionary perspective).

    Motivation

    and

    Emotion

    ■ Emotions, sympathetic autonomic nervous

    system, dopamine goes up and serotonin

    goes down, there's almost no rational thinking

    ■ Fear, the first and most important of

    emotions;

    1. Increase the heartbeat, open the mouth, do

    not blink

    2. The skin becomes icy because it serves as

    anesthesia, lowers the temperature of the

    body "I got cold, I felt a bath of cold water",

    sweats cold for adrenaline so that they can

    not grab us, we become slippery

    3. Fear is easily spread by chemistry; a

    terrorist leader can use it to spread and

    terrorize a people

    Motivation

    and Emotion

    ■ Courage

    ■ Courage is the manifestation of self-esteem and dignity; it is

    what allows you to say, "enough is enough". Dopamine goes

    up and serotonin goes down.

    ■ By the amygdala when we get upset with someone, we
    think 85% of times a day.

    Sadness

    ■ Sadness (also disappointment that allows love to end

    immediately), is the emotion that physiologically is different, low

    dopamine (happiness hormone) and serotonin rises (emotion pain).

    ■ Crying accelerates metabolism secretes more glucose, the emotion

    that spends the most energy, after crying you need to sleep.

    Motivation and Emotion

    ■ Important to survive, self-analyze and not enter denials YOU

    THINK. We drink tears because it contains painkillers, women's

    tears have low testosterone in men (by chemistry).

    ■ Music when one is sad is analyzed more.

    ■ Oxytocin is secreted, and people help us.

    ■ As in all emotions, hunger may vaguely arise, but not appetite, it is

    suppressed. As it is an emotion in which you are more intelligent,

    the appetite can be suppressed because the less you eat.

    Summary

    In this module, you learned about motivation and emotion.

    Now that you have completed the work, you are prepared to:

    • Identify the neurophysiology of basic emotions.

    • Describe the importance and functions of the autonomic nervous

    system.

    Next week, we move on to dreams and neurobiology . If you have any

    outstanding questions about what you learned this week, please add

    them to the Course Question and Answer Forum for your professor to

    clarify.

    References

    Kalat, J. (2017). Biological psychology. (13th ed.). Cengage.

    Neil, R., & Carlson, A. (1996). Fundamentals of physiological psychology. Pearson.

    – Objectives
    – Introduction
    – Motivation and Emotion
    – Needs
    – Motivation and Emotion

    – Love
    – Love
    – Emotions as Evolutionary Expressions
    – Motivation and Emotion

    – Neuron Anatomy

    – Motivation and Emotion

    – Motivation and Emotion
    – Neurotransmitters
    – Motivation and Emotion
    – Emotional Brain

    – Motivation and Emotion
    – Motivation and Emotion
    – Motivation and Emotion
    – Basic Emotions Look Alike
    – Joy

    – Motivation and Emotion

    – Motivation and Emotion

    – Motivation and Emotion
    – Motivation and Emotion
    – Motivation and Emotion
    – ■ Courage
    – Sadness
    – Motivation and Emotion
    – Summary
    – References
    – ,congratulations you have reviewed the theoretical!summary of this week's topic!

    **## PPmdule2Journal.docx**

    _Journal_

    **Instructions:**

    1. Based on what you have read and learned in this module, explain how the content can be applied to your life and personal experiences.

    2. Please submit your response in a Word document.

    Be sure to review the
    [academic expectations](https://agmu.instructure.com/courses/1876/pages/expectations-and-best-practices-for-assignments) for your submission.

    **Submission Instructions:**

    · Submit your assignment by 11:59 PM Eastern on Sunday.

    · Review the rubric to determine how your assignment will be graded.

    · Your assignment will be run through Turnitin to check for plagiarism.

    **## PPmodule2class.pdf**

    Module 2
    Motivation and Emotion

    PSYC 405 Physiological Psychology

    Objectives

    At the end of the module, the student will be able to:

    Identify the neurophysiology of basic emotions.

    Describe the importance and functions of the autonomic
    nervous system.

    Introduction

    ■ Motivation is the factor that directs and activates the
    behavior of humans and other organisms. It can also be
    defined as an internal, activating, energizing state that
    initiates and maintains a behavior towards an objective.
    Emotions and needs are motives that can guide human
    behavior. Two types of behavior have been distinguished.
    The first is the one that sets itself in motion intrinsically, does
    not depend on circumstances and even, in some cases,
    could be the result of instincts, biology and evolution. The
    second is puts it into practice to achieve a goal that is
    external to the person and is mostly motivated extrinsically.

    Motivation and Emotion

    ■ Motivation and Emotion: Biological and Evolutionary Bases

    ■ The motive is an internal driving force, a specific need or desire.

    ■ Emotion as well as motives activate behavior. Ex.The fear, joy, or

    surprise that underlies the behavior, it’s important for survival.

    ■ It is more difficult to predict the type of behavior that a particular

    emotion will produce. On the contrary, the needs are more

    predictable, for example, if a person is hungry, we can quite safely

    deduce that he will look for food.

    Needs

    ■ The needs are those whose satisfaction depends on the survival of

    the person. Therefore, the needs are what motivate the behavior of

    eating, sleeping, hydrating. These are needs related to maintaining

    the minimum standards that allow the body and people to function

    properly.

    Motivation and
    Emotion

    • Maslow's hierarchy:

    Ordering motivational needs.

    • This approach points out that

    before more complex higher-

    order needs can be met, some

    primary (physiological) needs

    must be met.

    Love

    ■ Maslow places it as a necessity: Affective need.

    ■ Love is not an emotion because emotions are short-lived, and love
    is long-lasting, so it is distinguished as a feeling like happiness and
    hatred. They all look alike, dopamine goes up, serotonin goes down
    and the frontal lobe blocks quite a bit. This is, physiologically, love
    and hate are similar, except that in love the frontal lobe is blocked
    quite a lot and in hate almost not, this could explain why with hate
    we can plan a revenge very well.

    Love

    ■ Another conclusion.

    ■ If physiologically love and hate are equal, they are not opposites.
    That is, the opposite of love is not hatred but indifference. It is even
    quoted later when we get upset with someone, we think about that
    person 85% of times a day.

    Emotions as Evolutionary Expressions

    ■ According to the theory of discrete emotions, emotions have

    biological roots and fulfill evolutionary functions. Each emotion is

    associated with a specific physiological response that is essentially

    the same for everyone.

    Motivation and Emotion

    One of the evidences about the evolutionary (instinctive) role of emotions is
    that they arise in the first months of a human being's life, before the parents
    have had the opportunity to shape them through socialization.

    By 6 weeks babies begin to smile whenever they see a face they like, they
    also frown and cry when left alone. That some emotional expressions arise
    even without direct reinforcement suggests that they are innate or
    instinctive.

    It is added that emotions come from the Emotional Brain (limbic system) to
    the Autonomous Nervous System (unconscious) from where unconscious
    behaviors such as breathing and beating the heart come.

    Neuron Anatomy

    ■ Neurons, like any cell, contain DNA, genetic memory, evolutionary.

    Motivation and Emotion

    These neurons communicate with each other via neurotransmitters.

    Serotonin: another inhibitory neurotransmitter affects the emotions of pain
    (that's why it rises in sadness). It is known as the mood molecule.

    Oxytocin: friendship, attachment (it is secreted when we cry, so that others
    help us, and the woman secretes it in stress and when breastfeeding).

    Melatonin: Hormone medicine and anti-aging, decreases with age.

    Motivation and Emotion

    ■ Cortisol: stress and aging hormone. Excess, Cushing’s Syndrome,

    memory loss because it reduces the gray matter of the

    hippocampus.

    ■ Dopamine: the hormone of love and pleasure. Chocolate

    increases phenylethylamine and dopamine levels so it is given
    away on the Day of Love and Friendship, it can also be a pleasant
    antidepressant.

    Neurotransmitters

    • When we are in love there is an

    organic compound that
    dominates us completely:
    phenylethylamine.

    • As the word itself already

    indicates, we are facing an
    element that shares many
    similarities with amphetamines
    and that, combined in turn with
    dopamine and serotonin,
    synthesizes the perfect recipe for
    a movie love.

    • Then oxytocin appears.

    Motivation and Emotion

    ■ It is like a biological device that
    seeks to "intensify" all our
    emotions.

    ■ Phenylethylamine is like sugar
    in a drink or varnish that we put
    on a canvas: everything makes
    it more intense. It is she who
    intensifies the action of
    dopamine and serotonin, she
    who constitutes the authentic
    chemistry of love to make us
    feel happy, fulfilled and
    incredibly motivated.

    Motivation and Emotion

    • When the limbic system (emotional brain)

    detects a situation that requires importance, it
    blocks the cerebral cortex.

    • The autonomous system takes over….

    • Frontal lobe

    • Blocked

    • Same in love, but not for hatred

    • For that you can plan revenge

    • If the amygdala, considers that a stimulus is
    dangerous, it will alert the hypothalamus so
    that it produces the necessary changes in the
    body to face the danger. In 125 milliseconds,
    half a blink and active sympathetic
    autonomous system.

    Emotional Brain

    ■ Once an experience of

    pain or pleasure is lived, it

    is filed in emotional

    memory.

    ■ Painful neuro fusions occur

    more quickly and intensely

    than pleasant ones,

    because in adaptive terms

    escaping danger is more

    important than

    approaching something

    pleasant: ENGRAMS.

    Motivation

    and Emotion

    Motivation and Emotion

    ■ The sympathetic nervous system
    mainly has the neurotransmitters
    adrenaline and noradrenaline. It
    has been during evolution in
    charge of generating fight-or-
    flight responses to external
    stimuli.

    ■ Therefore, it is responsible for

    increasing heart rate, dilating the
    bronchi of the lung, pupils,
    causing erections, increasing
    blood pressure, among other
    things.

    Motivation and Emotion

    • The parasympathetic nervous

    system, on the other hand, is a

    branch of the nervous system that

    relaxes and calms the body so that

    it recovers the energy expended in

    the sympathetic.

    • Activation of this system causes

    the heart rate to decrease, the

    pupil to contract, the stomach

    muscles to relax.

    Basic Emotions Look Alike

    ■ Emotions are similar because

    they are processed by the

    limbic system, and you can

    laugh at a scary situation or cry

    with another emotion that is

    sadness.

    Joy

    ■ Up dopamine, low serotonin as in love and courage …… and is

    glued by mirror neurons.

    ■ It is important for survival because it boosts the immune system.

    Laughter lasts approximately 6 seconds, moves 17 muscles,

    activates circulation, strengthens the abdominal area and releases

    endorphins that reduce physical and emotional pain.

    Motivation and
    Emotion

    • You can die of laughter, before
    you tortured yourself with tickles.

    • In its extreme Syndrome of

    Stendhal or Florence Syndrome a

    very strong good emotion and the

    parasympathetic system is

    activated, you can faint.

    Motivation and Emotion

    ■ Jealousy (dopamine goes up and serotonin goes up) is an adaptive

    emotion that allows us to alert ourselves to a threat such as the

    appearance of a possible personal and relational competition.

    ■ A normal fear of the possible loss of the loved one (partner, father,
    mother, friend), including loss of attention: that our mother will pay
    more attention to our younger brother, or the partner will pay more
    attention to their co-workers (envy).

    Motivation

    and

    Emotion

    Jealousy
    men vs
    women

    Men show more jealousy for sexual
    infidelity, considerable support for the
    emphasis of the evolutionary perspective on
    paternal uncertainty.

    Women are jealous of emotional infidelity.

    Sexual infidelity does not affect a woman's
    ability to reproduce, but emotional infidelity
    (falling in love with another and redirecting
    resources to another) could jeopardize her
    ability (evolutionary perspective).

    Motivation

    and

    Emotion

    ■ Emotions, sympathetic autonomic nervous

    system, dopamine goes up and serotonin

    goes down, there's almost no rational thinking

    ■ Fear, the first and most important of

    emotions;

    1. Increase the heartbeat, open the mouth, do

    not blink

    2. The skin becomes icy because it serves as

    anesthesia, lowers the temperature of the

    body "I got cold, I felt a bath of cold water",

    sweats cold for adrenaline so that they can

    not grab us, we become slippery

    3. Fear is easily spread by chemistry; a

    terrorist leader can use it to spread and

    terrorize a people

    Motivation

    and Emotion

    ■ Courage

    ■ Courage is the manifestation of self-esteem and dignity; it is

    what allows you to say, "enough is enough". Dopamine goes

    up and serotonin goes down.

    ■ By the amygdala when we get upset with someone, we
    think 85% of times a day.

    Sadness

    ■ Sadness (also disappointment that allows love to end

    immediately), is the emotion that physiologically is different, low

    dopamine (happiness hormone) and serotonin rises (emotion pain).

    ■ Crying accelerates metabolism secretes more glucose, the emotion

    that spends the most energy, after crying you need to sleep.

    Motivation and Emotion

    ■ Important to survive, self-analyze and not enter denials YOU

    THINK. We drink tears because it contains painkillers, women's

    tears have low testosterone in men (by chemistry).

    ■ Music when one is sad is analyzed more.

    ■ Oxytocin is secreted, and people help us.

    ■ As in all emotions, hunger may vaguely arise, but not appetite, it is

    suppressed. As it is an emotion in which you are more intelligent,

    the appetite can be suppressed because the less you eat.

    Summary

    In this module, you learned about motivation and emotion.

    Now that you have completed the work, you are prepared to:

    • Identify the neurophysiology of basic emotions.

    • Describe the importance and functions of the autonomic nervous

    system.

    Next week, we move on to dreams and neurobiology . If you have any

    outstanding questions about what you learned this week, please add

    them to the Course Question and Answer Forum for your professor to

    clarify.

    References

    Kalat, J. (2017). Biological psychology. (13th ed.). Cengage.

    Neil, R., & Carlson, A. (1996). Fundamentals of physiological psychology. Pearson.

    – Objectives
    – Introduction
    – Motivation and Emotion
    – Needs
    – Motivation and Emotion

    – Love
    – Love
    – Emotions as Evolutionary Expressions
    – Motivation and Emotion

    – Neuron Anatomy

    – Motivation and Emotion

    – Motivation and Emotion
    – Neurotransmitters
    – Motivation and Emotion
    – Emotional Brain

    – Motivation and Emotion
    – Motivation and Emotion
    – Motivation and Emotion
    – Basic Emotions Look Alike
    – Joy

    – Motivation and Emotion

    – Motivation and Emotion

    – Motivation and Emotion
    – Motivation and Emotion
    – Motivation and Emotion
    – ■ Courage
    – Sadness
    – Motivation and Emotion
    – Summary
    – References
    – ,congratulations you have reviewed the theoretical!summary of this week's topic!

    – 1
    – 2

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