An introduction to multilevel modeling techniques /
Heck, Ronald H.
Thomas, Scott Loring.
application/pdf
"This comprehensive, applied approach to multilevel analysis is distinguished by its wide range of applications relevant to the behavioral, educational, organizational, and social sciences. Univariate and multivariate models are used to understand how to design studies and analyze data. Readers are encouraged to consider what they are investigating, their data, and the strengths and limitations of each technique before selecting their approach. Numerous examples and exercises allow readers to test their understanding of the techniques, input programs from HLM and Mplus demonstrate how to set up and run the models." "A latent variable conceptual framework is emphasized to show the commonality of the approaches and to make each technique more accessible. The first section is devoted to conceptual issues underlying multilevel modeling, while the second section develops several types of multilevel analyses including univariate regression, structural equation, growth curve and latent change, and latent variable mixture modeling." "Ideal for introductory graduate level courses on multilevel and/or latent variable modeling, this book is intended for students and researchers in psychology, business, education, health, and sociology interested in understanding multilevel modeling. Prerequisites include an introduction to data analysis and univariate statistics."--Jacket.
Includes bibliographical references (pages 252-259) and indexes.
1. Introduction -- 2. Investigating Organizational Structures, Processes, and Outcomes -- 3. Development of Multilevel Modeling Techniques -- 4. Multilevel Regression Models -- 5. Defining Multilevel Latent Variables -- 6. Multilevel Structural Equation Models -- 7. Multilevel Longitudinal Analysis -- 8. Multilevel Models with Categorical Variables.
"This comprehensive, applied approach to multilevel analysis is distinguished by its wide range of applications relevant to the behavioral, educational, organizational, and social sciences. Univariate and multivariate models are used to understand how to design studies and analyze data. Readers are encouraged to consider what they are investigating, their data, and the strengths and limitations of each technique before selecting their approach. Numerous examples and exercises allow readers to test their understanding of the techniques, input programs from HLM and Mplus demonstrate how to set up and run the models." "A latent variable conceptual framework is emphasized to show the commonality of the approaches and to make each technique more accessible. The first section is devoted to conceptual issues underlying multilevel modeling, while the second section develops several types of multilevel analyses including univariate regression, structural equation, growth curve and latent change, and latent variable mixture modeling." "Ideal for introductory graduate level courses on multilevel and/or latent variable modeling, this book is intended for students and researchers in psychology, business, education, health, and sociology interested in understanding multilevel modeling. Prerequisites include an introduction to data analysis and univariate statistics."--Jacket.
Social sciences
Social sciences
Social sciences
Social sciences
Introduction to multilevel modeling techniques.