MESA8450 · Education

Multilevel Regression Models

Lynch School of Education & Human Development

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4.4 / 5Course rating

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Across 1 instructor

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Who teaches this? 1

Both ratings are out of 5, for each instructor’s sections of MESA8450.

Laura O'Dwyer

Professor, Measurement, Evaluation, Statistics, & Assessment

2 evaluations for this course

Instructor: 4.4
Course: 4.4

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1 of 1 instructors

Laura O'Dwyer

Professor, Measurement, Evaluation, Statistics, & Assessment

2 evaluations for this course

Instructor: 4.4
Course: 4.4

About this course

This course introduces students to multilevel regression modeling (aka hierarchical models or mixed effects models) for analyzing data with a nesting or hierarchical structure. We discuss the appropriate uses of multilevel regression modeling, the statistical models that underpin the approach, and how to construct models to address substantive issues. We consider a variety of types of models, including random intercept, and random slope and intercept models; models for longitudinal data; and models for discrete outcomes. We cover various issues related to the design of multilevel studies, model building and the interpretation of the output from HLM and SPSS software programs.

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Evaluation history 2 terms

All available terms for MESA8450. Numerical averages use the five-point scale.
Term	Evaluations	Course rating	Instructor rating
Spring 2025	1	4.6	4.6
Spring 2024	1	4.1	4.2