Psy 525 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.
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.