Hierarchical Linear Models (aka Multilevel Modeling): The Basics

In this video, we walk through the basics of hierarchical linear modeling (HLM) – also known a multilevel, random effects, and mixed effect modeling. The topics include nested data structures, HLM benefits, and the random effects ANOVA model. An empirical demonstration of HLM is undertaken in the software program HLM 8.2.

MDM file used for software demonstration can be accessed here - https://ssicentral.com/index.php/products/hlm-general/hlm-support-and-faqs/

To learn more about the HLM software program - https://ssicentral.com/index.php/products/hlm-general/

To more about Vector Psychometric Group - https://vpgcentral.com/



Table of Contents

Defining HLM and Nested Data Structures 0:27

About Dependence 1:21

HLM Benefits 3:05

The Many Names of HLM 4:00

The Random Effects ANOVA Model 4:40

HLM Software Demo 12:17