An Introduction to Multilevel Modeling Techniques
Language: English
Published by Taylor and Francis Ltd, GB, 2020
- Softcover
- New
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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: An expanded focus on the nature of different types of multilevel data structures (e.g., cross-sectional, longitudinal, cross-classified, etc.) for addressing specific research goals; Varied modelling methods for examining longitudinal data including random-effect and fixed-effect approaches; Expanded coverage illustrating different model-building sequences and how to use results to identify possible model improvements; An expanded set of applied examples used throughout the text; Use of four different software packages (i.e., Mplus, R, SPSS, Stata), with selected examples of model-building input files included in the chapter appendices and a more complete set of files available online.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.…
Seller Inventory # LU-9780367182441
- Title
- An Introduction to Multilevel Modeling Techniques
- Author
- Ronald Heck, Scott L. Thomas
- Publisher
- Taylor and Francis Ltd, GB
- Publication year
- 2020
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 0367182440
- ISBN 13
- 9780367182441
- Edition
- 4th Edition
- Item weight
- 530 grams
- Series
- Book 13 of 14: Quantitative Methodologies
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:
- An expanded focus on the nature of different types of multilevel data structures (e.g., cross-sectional, longitudinal, cross-classified, etc.) for addressing specific research goals;
- Varied modelling methods for examining longitudinal data including random-effect and fixed-effect approaches;
- Expanded coverage illustrating different model-building sequences and how to use results to identify possible model improvements;
- An expanded set of applied examples used throughout the text;
- Use of four different software packages (i.e., Mplus, R, SPSS, Stata), with selected examples of model-building input files included in the chapter appendices and a more complete set of files available online.
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.
"Synopsis" may belong to another edition of this title.
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
"About the title" may belong to another edition of this title.
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