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Summary
The field of social sciences aims to provide researchers and the public with insights into the patterns of human living experiences. While people frequently possess an individualistic feature of extrapolating their personal experiences to the lives of others, social studies use statistics to show how one’s assumptions are justified or rejected statistically. For this reason, quantitative research is of utmost importance to inform humanity about existing social trends. According to Zanganeh (2020), quantitative research in social sciences aims at measuring the variables effectively to generalize the data and present tangible solutions later. Hence, the numeric findings from quantitative research present a foundation for social studies and the existing relationship between different variables.
Variable Analysis
At the early stages of the statistical analysis, the research was focused on defining the values of the independent variable (IV) of religious affiliation and the dependent variable (DV) of one’s sexuality. The study’s preliminary results demonstrated a striking difference between the validity of responses in IV and DV. With more than 40% of respondents missing the question of sexuality, it has become evident that they were unwilling to reveal their sexual identity. As far as the IV is concerned, the major output was the relative absence of people stating their religious affiliation “in the middle,” with the majority of responses varying between STRONG/NOT VERY STRONG and NO RELIGION. These findings, although not surprising in the overall social context, justify people’s rather radical points of view on religion and stigmatized perception of sexuality.
Crosstabs and Measures of Association
The crosstabs analysis between the IV and DV revealed an epsilon higher than a borderline of 10%. Hence, it is reasonable to assume that there is a strong correlation between the variables that indicate that one’s religious affiliation potentially affects one’s sexual identity. As far as the measures of association are concerned, the level of predictability is low, suggesting that one’s sexual orientation cannot predict one’s religious affiliation. Nonetheless, it is impossible to declare that the variables have no correlation whatsoever. As outlined by Hinman and Lacefield (2020), previous research on the matter supports the hypothesis of the analysis.
References
Hinman, B. K., & Lacefield, C. (2020). There is an exploration of spirituality and sexuality in men who identified as gay and were raised in a conservative Christian faith. Journal of Research on Christian Education, 29(2), 156-175.
Zangeneh, M. H. T. (2020). Comparison between qualitative and quantitative research approaches Social sciences. Indonesia Prime, 5(1), 36-43. Web.
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