HD 5760 - Quantitative Methods II

(crosslisted) PSYCH 5760

Spring. 3 credits. Student option grading.

Prerequisite: HD 5750 or PSYCH 5750.

F. Thoemmes.

This second part of the graduate statistics sequence is intended to teach more advanced techniques of modern quantitative data analysis, with a focus on the analysis of non-randomized studies. We will cover a variety of models, including models with linear and non-linear effects, model with random effects, and models for limited dependent variables.

Outcome 1: You will deepen your proficiency in R to achieve more advanced data-analytic tasks.

Outcome 2: You will be able to understand results from a variety of models, including the general linear model, the generalized linear model, and the generalized mixed model.

Outcome 3: You will be able to identify core assumptions of the general linear model and probe them accordingly.