Social Sciences Research

Running head: SOCIAL RESEARCH
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Social Sciences Research
Student’s Name
Institutional Affiliation
Date

SOCIAL RESEARCH
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Social Sciences Research
Simulated Research Study 1: Emotional understanding
The study design type deployed in this research is the cohort study also known as
prospective observational study, which is an approach whereby the people or subjects who have
a certain condition and receive a particular treatment are observed over time, and the results
compared to another unaffected group (Saad, Zysberg, Heinik, Ben-Itzhak, and Zisberg, 2019).
Concisely, the design accurately tests the null hypothesis, which seeks to establish a difference in
average scores of emotional intelligence between the substance abusers and the general
population. The t-test run on SPSS was a suitable statistical test to analyze the data because of its
capability to provide a comparison between the experimental subjects and the control group, in
essence, the overall population to deliver results that help in answering the research question.
A t-test was run on SPSS and the results were x (39) = -4.446, p = 0.00. From the
statistical results, it can be depicted that p ˂ 0.05 (which is 0.00) thus the mean for the emotional
intelligence of the participants can be concluded to be statistically significant. However, had p
been greater than 0.05 (if p ˃0.05), then the difference between the mean for sample-estimated
population and that of the comparison population would not be statistically significantly
different. There is a statistically significant difference between the means (p ˂ 0.05); therefore,
the research would reject the null hypothesis and accept the alternative hypothesis. From the
results, we can implicate that the emotional intelligence of the substance abusers is different to
that of normal people thus the addiction counseling should be effected to address the four aspects
of emotional understanding among the substance addicts.

SOCIAL RESEARCH
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Simulated Research Study 2: Job prevalence options
The case-control study design was used in accomplishing the prevalent to employment
options research. Lynch, Popchak, and Irrgang (2019) acknowledged that in the case-control
design, the study begins with the outcomes and do not make a follow up afterward. The authors
explained that the researchers choose people with a particular case or result, (in essence, the
postgraduate employees in residential facilities, private practice, and community agencies in this
study) and then compare with another group that is not affected by the similar condition.
Concisely, the design accurately tests the null hypothesis by comparing the frequencies of
employment of the postgraduates in the three stated organizations. The use of Chi-Square
statistical tool on SPSS is suitable for analyzing the data since it determines an association or the
existence of a relationship between categorical variables, which are the expected and observed
employment frequencies in the three categories in this study.
A Chi-Square statistical test was run on SPSS and the results obtained were x (2, N = 30)
= 0.80, p = 0.67. From the findings, it can be deduced that the value of p is greater than 0.05
(0.67 ˃0.05) indicating that the result is not statistically significant; thus, the null hypothesis
which, asserts that there would be no difference in the frequency of the graduates who are
employed in the outlined categories would be accepted. Additionally, the obtained p-value (0.67)
implies that the probability of the Chi-Square statistic having 2 degrees of freedom is more than
the significance level thus the H0 cannot be rejected. Moreover, from the results, the implication
is that the frequency at which the postgraduates are employed in different organizations is nearly
similar. Therefore, it would be possible to predict the chances of a graduate student to get
employment in a certain organization.