4th Edition

An Introduction to Multilevel Modeling Techniques MLM and SEM Approaches

By Ronald Heck, Scott L. Thomas Copyright 2020
404 Pages 59 B/W Illustrations
by Routledge

404 Pages 59 B/W Illustrations
by Routledge

404 Pages 59 B/W Illustrations
by Routledge

Multilevel modelling is a data analysis method that is frequently used to investigate hierarchal data structures in educational, behavioural, health, and social sciences disciplines. Multilevel data analysis exploits data structures that cannot be adequately investigated using single-level analytic methods such as multiple regression, path analysis, and structural modelling. This text offers a... Read more

Preface

1. Introduction

2. Getting Started with Multilevel Analysis

3. Multilevel Regression Models

4. Extending the Two-Level Regression Model

5. Methods for Examining Individual and Organizational Change

6. Multilevel Models with Categorical Variables

7. Multilevel Structural Equation Variables

8. Multilevel Latent Growth and Mixture Models

9. Data Consideration in Examining Multilevel Models

Biography

Ronald H. Heck is Professor of Education at the University of Hawai‘i at Mānoa. His areas of interest include organizational theory, policy, and quantitative research methods.

Scott L. Thomas is Professor and Dean of the College of Education and Social Services, University of Vermont. His specialties include sociology of education, policy, and quantitative research methods

"Developing a basic modeling strategy that researchers can follow to investigate multilevel data structures can be challenging. Heck and Thomas have once again presented a must-have reference book to get the job done. This edition’s use of four different software packages and additional easy-to-follow illustrative examples enhance what was already a superb resource for both students and researchers." – George A. Marcoulides, University of California, Santa Barbara, USA