5 credits
In this course, students review and expand on statistical techniques mastered in Statistics 1, such as the t-test, correlation analysis, ANOVA, and chi-square tests. Students explore underlying assumptions and applications of factorial, repeated measures (within groups), mixed-design ANOVA, multiple regression, and logistic regression. They learn statistical and analytical applications as well as how to critically read and write about psychological research—skills and techniques needed to complete the doctoral dissertation. Students also engage in analyses involving the use of the SPSS statistical software package.