Most research in the social sciences (e.g., education, psychology) uses either correlation or quasi-experimental designs. Correlation designs are taught in EPSE 596. In EPSE 592, the focus is on experimental and quasi-experimental designs, how to analyze and interpret data obtained from such designs, and how to describe results from these analyses using proper format.
Researchers are frequently interested answering questions that involve comparing two or more groups (e.g., sex differences, compare age or education groups, compare control vs. intervention groups). The course will cover various analyses of variance (ANOVA) techniques designed to answer such questions (e.g., one-way ANOVA, two-way ANOVA, repeated measures ANOVA, mixed model ANOVA, ANCOVA) as well as their assumptions, nonparametric alternatives, and relevant effect size indicators. Other related topics, such as sample size and power calculations, three-way ANOVAs and MANOVA, may be included as time permits. Analyses will be conducted using SPSS.
Prerequisites: Successful completion of EPSE 482 or an equivalent course in undergraduate statistics. EPSE 483 is not an acceptable prerequisite course.