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Nov 22, 2024
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PSY-717 Multivariate Statistics4 semester credits
Students will study the assumptions of multivariate methods and the testing of these assumptions through exploratory data analysis. Statistical topics include Factorial ANOVA & ANCOVA, Multiple Regression (including hierarchical methods, moderation and mediation models), Logistic Regression and Factor Analysis. Knowledge of SPSS is critical to the successful completion of PSY-717. When completing this course, students will be able to conduct advanced statistical analyses and communicate the results of these analyses using appropriate language and APA style for text, tables and figures. This course may not be taken as pass/fail.
Pre-requisites: PSY-716A
Delivery Method: Distance/Electronically Mediated
Grading Default: Letter
Learning Objective: 1. Know the assumptions underlying multivariate statistical techniques and how to test these assumptions through exploratory data analysis methods using IBM-SPSS.
2. Be able to apply data modification and transformation methods when the assumptions of multivariate statistical techniques are violated.
3. Be able to apply appropriate statistical method to a variety of research questions and designs.
4. Be able to conduct Factorial ANOVA & ANCOVA, Multiple Regression (including hierarchical methods, moderation and mediation models), Logistic Regression and Factor Analysis. (Some instructors may include canonical correlation and MANOVA or other topics).
5. Be able to write-up the results of all the statistical techniques discussed above, using APA format and including properly constructed tables.
6. Be familiar with the issues related to statistical significance, effect sizes, confidence intervals, and contemporary challenges and alternatives to null hypothesis significance testing (NHST).
7. Be able to address real world problems through the application of appropriate multivariate statistical methods.
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