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4th new edition. 440 pages. 9.25x6.25x1.00 inches. In Stock. This item is printed on demand. Seller Inventory # __0367182424
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 comprehensive treatment of multilevel models for univariate and multivariate outcomes. It explores their similarities and differences and demonstrates why one model may be more appropriate than another, given the research objectives.
New to this edition:
This is an ideal text for graduate courses on multilevel, longitudinal, latent variable modelling, multivariate statistics, or advanced quantitative techniques taught in psychology, business, education, health, and sociology. Recommended prerequisites are introductory univariate and multivariate statistics.
About the Author:
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
Title: An Introduction to Multilevel Modeling ...
Publisher: Routledge
Publication Date: 2020
Binding: Hardcover
Condition: Brand New
Edition: 4th Edition
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