Please take time to review the background materials and present a research question and a null and alternative hypothesis that is consistent with Chi-square analysis.

Required Reading:

• EZSPSS (2019). Easy SPSS Tutorial: Chi Square Test in SPSS, Including Interpretation. Retrieved from https://www.youtube.com/watch?v=A_oV3MB53Y0 (5:50)

• Lund Research. (2018). Chi-Square Test for Association using SPSS Statistics. Retrieved from https://statistics.laerd.com/spss-tutorials/chi-square-test-for-association-using-spss-statistics.php

• Martin, G. (2019). Statistics made easy ! ! ! Learn about the t-test, the chi square test, the p value and more [Video File] Retrieved from https://www.youtube.com/watch?v=I10q6fjPxJ0 (12:49)

• Qi, Y., Wang, F., & Zhang, L. (2018). Limiting distributions of likelihood ratio test for independence of components for high-dimensional normal vectors. Annals of the Institute of Statistical Mathematics, 1-36.Retreived from ProQuest

• Walter, E. (2020). SPSS Chi Square [Video File]. Retrieved from https://www.youtube.com/watch?v=Y0Oxi6zW-IE (6:04)

Optional Reading:

• Abbott, M. L. (2011). Understanding educational statistics using Microsoft excel and SPSS. Retrieved from ProQuest One Academic (Read pages 452-488)

• Kent State University (2020). SPSS Tutorials: Chi-square test of independence. Retrieved from https://libguides.library.kent.edu/SPSS/ChiSquare

• McCormick, K., & Salcedo, J. (2015). SPSS statistics for dummies. Retrieved from eBook Central (ProQuest) (Dated but useful; Read p. 225-234Running the Chi-Square Test)