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OverviewFull Product DetailsAuthor: Ronald Heck (University of Hawaii, Manoa, USA) , Scott L. Thomas (University of Vermont, USA)Publisher: Taylor & Francis Ltd Imprint: Routledge Edition: 4th edition Weight: 0.530kg ISBN: 9780367182441ISBN 10: 0367182440 Pages: 388 Publication Date: 07 April 2020 Audience: College/higher education , Tertiary & Higher Education Format: Paperback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsPreface 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 ModelsReviewsDeveloping 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 Author InformationRonald 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 Tab Content 6Author Website:Countries AvailableAll regions |