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.
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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.
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Ronald H. Heck is Professor of Education at the University of Hawai‘i at Manoa. 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
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Hardback. Zustand: New. Fourth edition of a graduate-level statistical methods text in Routledge's Quantitative Methodology Series, treating multilevel models for univariate and multivariate outcomes within a single analytic framework that unites the multilevel regression (MLM) and structural equation modelling (SEM) traditions. The book works its applied examples across four different software packages - Mplus, R, SPSS and Stata - with selected model-building input files reproduced in the chapter appendices and a fuller set of files made available online. Coverage extends to cross-sectional, longitudinal and cross-classified data structures, with attention to both random-effect and fixed-effect approaches for longitudinal analysis, and to model-building sequences and the diagnostic use of results to identify improvements. The text is directed at graduate courses in psychology, business, education, health and sociology, and assumes introductory univariate and multivariate statistics as prerequisites. Written in English. Bestandsnummer des Verkäufers OA-260223-shelf-1-012
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