Multilevel Models for Hierarchical Data

Our workshop is designed for graduate students, post-doctoral fellows, faculty, and research scientists from the behavioral, social, and health sciences.

Although it is recommended that participants have a working knowledge of the multiple regression model, core concepts will be reviewed at the beginning of the workshop. Participants who would like a more thorough refresher on linear regression prior to attending may wish to watch our (no cost) Linear Regression Playlist on YouTube.

Chapter 1. General Introduction
1.1 Nested Data Structures
1.2 Why Conventional Statistics are Inappropriate for Nested Data
1.3 Methods for Analyzing Nested Data

Chapter 2. Basic Multilevel Models
2.1 The Random-Effects ANOVA Model
2.2 Incorporating Lower-Level Predictors
2.3 Incorporating Upper-Level Predictors

Chapter 3. Decomposing Within- and Between-Group Effects
3.1 Conceptualizing Total, Between-Group and Within-Group Effects
3.2 Centering Level 1 and Level 2 Predictors
3.3 Estimating and Testing Within- and Between-Group Effects

Chapter 4. Random Slopes and Cross-Level Interactions
4.1 Including Random Slopes for Level-1 Predictors
4.2 Modeling Cross-Level Interactions
4.3 Plotting and Probing Cross-Level Interactions

Chapter 5. Extensions and Next Steps
5.1 Summary of Core Topics Covered
5.2 Where to Go From Here: Extensions and Next Steps

Recorded software demonstrations are provided for R, SAS, SPSS, and Stata. Note that R can be downloaded for free.

Lectures are software independent and focus on the conceptualization, specification, and interpretation of the models. Thus, while it is helpful to have some familiarity with one or more of these software programs, this is not necessary to benefit from the course.

Participants receive lifetime access to all course materials, including complete course notes, lecture recordings, software demonstration notes, software demonstration recordings, and data and code for all examples. You can revisit these materials any time you like, without worrying about expiration dates. Pretty awesome, huh?

Content for this class is evergreen, meaning participants will always have access to the most current version of the course materials. Thus, if we replace a lecture recording or software demonstration, or update a syntax file, you will have immediate access to the updated content without needing to re-enroll in the class. Even more awesome.