Psy 625 Categorical Data Analysis

Introduction to categorical data analyses. Topics include: review of discrete probability distributions and descriptive statistics, simple proportions and chi-square, contingency table analyses, matched pairs analyses, loglinear models, logistic and probit regression models, propensity scores, ordinal and multinomial logistic regression, generalized linear models, and categorical measurement issues.

Credits

4

Slash Listed Courses

Also offered as Psy 525.

Prerequisite

Students should have at least one graduate statistics course covering chi-square, ANOVA, and regression analysis, such as Psy 521/Psy 621 and Psy 522/Psy 622.