PSYC6502 · Psychology

Introduction to Multilevel Modeling

Morrissey College of Arts & Sciences

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3.9 / 5Course rating

From 3 rating records
Across 1 instructor

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Who teaches this? 1

Both ratings are out of 5, for each instructor’s sections of PSYC6502.

Ehri Ryu

Associate Professor, Psychology and Neuroscience

3 evaluations for this course

Instructor: 4.3
Course: 3.9

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1 of 1 instructors

Ehri Ryu

Associate Professor, Psychology and Neuroscience

3 evaluations for this course

Instructor: 4.3
Course: 3.9

About this course

The course introduces multilevel analysis and commonly used statistical models. The course begins by providing overall background including what are multilevel data, why multilevel modeling is needed, and how to properly report descriptive statistics for multilevel data. The remainder of the course presents commonly used multilevel models with illustrations using empirical data. R packages will be used. The course will focus on models with linear effects. Students are expected to be familiar with general linear models or multiple regression analysis.

All evaluation ratings

Averages use numerical 1–5 ratings, including the ratings submitted with new anonymous reviews.

OrganizationHow well the course was organized: 4.75 / 5
ChallengeHow intellectually challenging students found it: 4.84 / 5
AttendanceHow necessary attendance was: 4.93 / 5
AssignmentsHow helpful assignments were: 5.00 / 5

Weekly effort: ~3 hours

Estimated from the original workload response buckets. Individual sections may differ.

Evaluation history Browse all evaluations

Evaluation history 3 terms

All available terms for PSYC6502. Numerical averages use the five-point scale.
Term	Evaluations	Course rating	Instructor rating
Fall 2023	1	2.8	4.0
Fall 2021	1	4.2	4.4
Fall 2020	1	4.6	4.5