How to Perform and Interpret a Chi-Square Test in SPSS (with APA Table)

In this video, you will learn how to conduct a chi-square test of independence using SPSS 29 version. To access the data + PowerPoint presentation used in the video, please click on this link: https://bit.ly/48BhOZx A chi-square test of independence is a statistical method to determine whether two categorical (nominal/ordinal) variables are related or independent. For example, you may want to test whether gender and political affiliation are independent of each other. To perform this test, you need to have a contingency table that shows the frequency distribution of the two variables across different categories. You will see how to set up a contingency table in SPSS, and how to calculate the expected frequencies based on the marginal totals. You will also learn how to perform the test using the SPSS menu, and how to interpret the output. The output will show you the chi-square statistic, the degrees of freedom, and the p-value. You will learn how to compare the p-value with your chosen significance level, and how to draw a conclusion about the null hypothesis. You will also learn how to report the findings in APA style. I hope you find this video helpful and informative.