As with the previous week’s Discussion, this Discussion assists in solidifying your understanding of statistical testing by engaging in some data analysis. This week you will once again work with a real, secondary dataset to construct a research question, perform categorical data analysis that answers the question, and interpret the results.
Whether in a scholarly or practitioner setting, good research and data analysis should have the benefit of peer feedback. For this Discussion, you will post your response to the hypothesis test, along with the results. Be sure and remember that the goal is to obtain constructive feedback to improve the research and its interpretation, so please view this as an opportunity to learn from one another.
To prepare for this Discussion:
Use SPSS to answer the research question. Post your response to the following:
Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.
Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications.
Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications.
6210 Week 11 Discussion: How To Complete The Discussion Requirement
Review the Week 11 Course Materials.
Use the General Social Survey (GSS) dataset for this Discussion
Identify a categorical (nominal or ordinal) independent variable and a categorical dependent variable.
Write a research question for a Chi-Square Test of Independence. Use this format:
– What is the relationship between (state the IV) and (state the DV)?
Write the null hypothesis. Use this format:
-There is no relationship between (state the IV) and (state the DV).
State the research design. Here are your choices:
Use SPSS to answer the research question. Here’s how:
-Open the GSS data set, select Analyze, select Descriptive Statistics, select Crosstabs, drag your IV into the Rows box, drag your DV into the Columns box, Click on Statistics, select Chi-square and Phi and Cramer’s V, select Continue, select Cells, select Observed, Rows, Columns and Totals, select Continue and OK.
Remember, if the Sig. value is less than .05, reject the null and if the Sig. value is greater than .05, fail to reject the null.
-If you reject the null and determine that the Chi-Square is statistically significant, report and explain (weak, medium, strong) the effect size. Use the Cramer’s V value in the Symmetric Measures box for effect size
If you fail to reject the null and find that the Chi-Square is not statistically significant, then there is no need to report or explain the effect size.
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