CLC – Correlational Study Details Essay Assignment
Each CLC team will design a correlational study, groups will need two variables with at least five sets of data. between these two variables: time spent playing video games and aggression.
Then in 500-750 words, do the following:
Create a hypothesis for the group’s study. Consider the hypothesis and how the group will define operationally and measure the variables.
Describe how the group will obtain a random sample of participants.
Assume the study produces a correlation of .56 between the variables. Analyze three possible causal reasons for the relationship.
Submit an SPSS output for the correlational study.
Use two to four scholarly resources to support your explanations.
Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required.
CLC – Correlational Study Details Essay Assignment
Correlation study
The study seeks to show that there is a correlation between the time spent playing video games and aggressive behavior among children between 12 and 16 years of age. The study recruited 30 participants, all from the same school. In this case, the study hypothesis is presented as: spending more time playing video games is linked to more incidences of aggression with the reverse relationship being equally true. The study variables are presented as time spent playing video games (independent variable) and incidences of aggression (dependent variable). The study participants will be students within the study demographics, all recruited from the same school. The time spent play video games and incidences of aggressive behavior will be recorded for average monthly figures based on responses from the participants. The participants (students) are sampled using a stratified random sampling approach. In this case, the students are divided into strata based on classes with each class represented in the study (see table 1) CLC – Correlational Study Details Essay Assignment.
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Table 1. Average monthly figures for time spent playing video games and incidences of aggression for 30 students
Participant
Time spent playing video games (hours)
Incidences of aggression
1
64
5
2
46
6
3
31
6
4
62
5
5
63
3
6
59
2
7
51
5
8
59
7
9
31
4
10
40
6
11
56
5
12
53
7
13
48
4
14
32
6
15
49
6
16
70
5
17
52
3
18
30
2
19
56
5
20
80
7
21
46
6
22
77
5
23
33
6
24
42
6
25
64
5
26
46
3
27
57
2
28
68
5
29
30
7
30
70
4
The values presented in table 1 were subjected to statistical analysis to determine the correlation between the time spent playing video games and aggressive behavior among children between 12 and 16 years of age. The descriptive statistics for the collected data reveals that the mean monthly time spent playing video games is 52.17 hours (
SD
=14.343,
N
=30) and mean monthly incidences of aggression is 4.93 (
SD
=1.507,
N
=30). A Pearson Correlation test was conducted on the collected data to determine the exact nature of the relationship between time spent playing video games and incidences of aggression (as variables) for the 30 students, and if the relationship is statistically significant. The test results presented a correlation coefficient of -0.066 at
p
= 0.727. The correlation results show the strength of the relationship between variables. The results indicate that there is a weak negative relationship between the two variables. This implies that an increase in the amount of time spent playing video games (as the independent variable) will be marked by a decrease in the incidences of aggression (as the dependent variable). The negative correlation can be explained that spending more time playing video games allows the students to expend their energy and aggression so that they are less aggressive when engaging in other social activities. The relationship between the two variables is NOT being statistically significant since
p
>0.05. Given these results, the study hypothesis is REJECTED and alternative hypothesis accepted that: spending more time playing video games is NOT linked to more incidences of aggression. These results have been ascertained by the scatter plot as presented in Figure 1. Based on these results, it is clear that playing video games may not have a relationship with incidences of aggression among students between 12 and 16 years of age (Anderson et al., 2014; Johnson & Kuby, 2012).
On the other hand, should the correlation coefficient have been 0.56, then it can be determined that there is a strong positive relationship between the study variables. This would imply that as the independent variable increases, the dependent variable would similarly increase with the reverse relationship being equally true. In essence, both variables would either increase or decrease concurrently CLC – Correlational Study Details Essay Assignment
Figure 1. Two-way scatter plot of time spent playing video games and incidences of aggression
References
Anderson, D., Sweeney, D., Williams, T., Camm, J. & Cochran, J. (2014).
Statistics for business & economics
(12
th
ed.). Stamford, CT: Cengage Learning.
Johnson, R. & Kuby, P. (2012).
Elementary statistics
(11
th
ed.). Boston, MA: Brooks/Cole.
SPSS output
Descriptive Statistics
Mean
Std. Deviation
N
Time spent playing video games (hours)
52.17
14.343
30
Incidences of aggression
4.93
1.507
30
Correlations
Time spent playing video games (hours)
Incidences of aggression
Time spent playing video games (hours)
Pearson Correlation
1
-.066
Sig. (2-tailed)
.727
N
30
30
Incidences of aggression
Pearson Correlation
-.066
1
Sig. (2-tailed)
.727
N
30
30
CLC – Correlational Study Details Essay Assignment
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