HD 5760

Quantitative Methods II

Course Description

Course information provided by the Courses of Study 2024-2025.

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.  

When Offered Spring.

Prerequisites/Corequisites Prerequisite: HD 5750 or PSYCH 5750.

• You will deepen your proficiency in R to achieve more advanced data-analytic tasks.
• 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.
• You will be able to identify core assumptions of the general linear model and probe them accordingly.

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