Research Analysis In Couple & Family Therapy

Catalog description

A survey of the most frequently employed multivariate research techniques, such as multivariate generalizations of univariate tests and analysis of variance, principal components analysis and factor analysis, canonical analysis, multiple regression analysis, structural equation modeling, and discriminant analysis. A central theme of the course is the general linear model, both univariate and multivariate. A multipurpose program for this model provides the student with practical experience in conducting multivariate research. Prerequisite: Students must have completed one college-level statistics course. Course Learning Outcomes 1. Explain the differences among various multivariate statistics. 2. Describe when to use each of multivariate statistics covered. 3. Understand and critique social science research. 4. Conduct their own multivariate research projects. View Class Schedule