Assignment Testing For Bivariate Categorical Analysis

Assignment Testing For Bivariate Categorical Analysis

Assignment: Testing for Bivariate Categorical Analysis You have had plenty of practice with data analysis in the Discussions and hopefully you have received helpful and encouraging feedback from your colleagues. Now, for the last time in the course, it is time once again to put all of that good practice to use and answer a social research question using categorical statistical tools. As you begin the Assignment, be sure and pay close attention to the assumptions of the test. Specifically, make sure the variables are categorical level variables. For this Assignment, you will consider three different scenarios.

Each of these scenarios include a research question. You will examine each scenario, choose a categorical data analysis and run a sample test. To prepare for this Assignment: Review Chapters 10 and 11 of the Frankfort-Nachmias & Leon-Guerrero course text and the media program found in this week’s Learning Resources related to bivariate categorical tests. Using the SPSS software, open the Afrobarometer dataset found in this week’s Learning Resources. Next, review the Chi Square Scenarios found in this week’s Learning Resources and consider each research scenario for this Assignment.

Based on the dataset you chose and for each research scenario provided, using the SPSS software, choose a categorical data analysis and run a sample test. Once you perform your categorical data analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document. For this Assignment: Write a 1- to 2-paragraph analysis of your categorical data results for each research scenario. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). In your analysis, display the data for the output.

Based on your results, provide an explanation of what the implications of social change might be. Use proper APA format, citations, and referencing for your analysis, research question, and display of output.

Paper For Above instruction

This assignment involves conducting bivariate categorical analyses to answer social research questions using the Afrobarometer dataset and SPSS software. The key focus is ensuring the variables analyzed are categorical and interpreting the statistical results within the context of social change.

In the first scenario, suppose the research question investigates whether there is an association between gender (a categorical variable) and voting behavior (another categorical variable). Using the Chi-Square test of independence, the analysis in SPSS reveals a significant association between gender and voting preferences, with a chi-square statistic of 12.56 (p

The second scenario examines the relationship between education level (categorical) and attitudes toward social trust (categorical). Running a Chi-Square test yields a significant relationship, χ²(4, N=500) = 15.64, p = 0.003. The output shows higher education levels are associated with greater trust in societal institutions. This indicates that social capital may be increasing with educational attainment, contributing to social cohesion. The findings imply that social change towards higher trust in institutions could foster more resilient communities, especially in emerging democracies, and suggest that policies promoting education could positively influence social stability.

In the third scenario, the research question explores whether urban versus rural residents differ in their perceptions of government responsiveness (categorical variable). The SPSS analysis produces a chi-square value of 9.45 (p = 0.05), indicating a statistically significant difference. Urban residents are more likely to perceive government responsiveness positively compared to rural residents. These results highlight ongoing social disparities and suggest that social change could involve addressing resource and service gaps in rural areas. Improving perceptions of government responsiveness in rural regions might promote greater civic engagement and reduce inequalities, reinforcing social cohesion.

If the Afrobarometer data on Q1 (Age) are utilized, the mean age across the sample is approximately 39.4 years, providing additional demographic context to interpret social attitudes and behaviors. Younger or older populations may demonstrate different patterns of political engagement and trust, which are crucial in understanding social change dynamics in diverse societies.

Overall, the implications of these analyses point towards targeted social policies aimed at fostering equality and inclusion, with particular attention to gender, education, and rural-urban divides. Changes in these areas can significantly influence social cohesion, political stability, and democratic consolidation, especially in developing regions. Understanding these relationships through categorical analysis helps policymakers and scholars identify areas for intervention and measure the impact of social initiatives over time.

References

Frankfort-Nachmias, C., & Leon-Guerrero, A. (2017). Social statistics for a diverse society (7th ed.). SAGE Publications.

Wagner, C. (2014). Doing social research: An introduction. SAGE Publications.

Pallant, J. (2020). SPSS survival manual (7th ed.). McGraw-Hill Education.

Field, A. (2018). Discovering statistics using IBM SPSS Statistics (5th ed.). SAGE Publications.

Bryman, A. (2016). Social research methods (5th ed.). Oxford University Press.

Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Pearson.

Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). SAGE Publications.

Heppner, M. J., & Heppner, P. P. (2004). Research design and methods (5th ed.). Wadsworth Cengage Learning.

Levin, K., & Emerson, R. (2018). Designing social inquiry: Scientific inference in qualitative research. Princeton University Press.

Salkind, N. J. (2017). Statistics for people who (think they) hate statistics (6th ed.). SAGE Publications.