Multilevel and Longitudinal Modeling with IBM SPSS
- ISBN-10
- 1135074240
- ISBN-13
- 9781135074241
- Series
- Multilevel and Longitudinal Modeling with IBM SPSS
- Category
- Psychology
- Pages
- 462
- Language
- English
- Published
- 2013-08-22
- Publisher
- Routledge
- Authors
- Ronald H. Heck, Scott L. Thomas, Lynn N. Tabata
Description
This book demonstrates how to use multilevel and longitudinal modeling techniques available in the IBM SPSS mixed-effects program (MIXED). Annotated screen shots provide readers with a step-by-step understanding of each technique and navigating the program. Readers learn how to set up, run, and interpret a variety of models. Diagnostic tools, data management issues, and related graphics are introduced throughout. Annotated syntax is also available for those who prefer this approach. Extended examples illustrate the logic of model development to show readers the rationale of the research questions and the steps around which the analyses are structured. The data used in the text and syntax examples are available at www.routledge.com/9780415817110. Highlights of the new edition include: Updated throughout to reflect IBM SPSS Version 21. Further coverage of growth trajectories, coding time-related variables, covariance structures, individual change and longitudinal experimental designs (Ch.5). Extended discussion of other types of research designs for examining change (e.g., regression discontinuity, quasi-experimental) over time (Ch.6). New examples specifying multiple latent constructs and parallel growth processes (Ch. 7). Discussion of alternatives for dealing with missing data and the use of sample weights within multilevel data structures (Ch.1). The book opens with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of SPSS data management techniques which facilitate working with multilevel, longitudinal, and cross-classified data sets. Chapters 3 and 4 introduce the basics of multilevel modeling: developing a multilevel model, interpreting output, and trouble-shooting common programming and modeling problems. Models for investigating individual and organizational change are presented in chapters 5 and 6, followed by models with multivariate outcomes in chapter 7. Chapter 8 provides an illustration of multilevel models with cross-classified data structures. The book concludes with ways to expand on the various multilevel and longitudinal modeling techniques and issues when conducting multilevel analyses. Ideal as a supplementary text for graduate courses on multilevel and longitudinal modeling, multivariate statistics, and research design taught in education, psychology, business, and sociology, this book’s practical approach also appeals to researchers in these fields. The book provides an excellent supplement to Heck & Thomas’s An Introduction to Multilevel Modeling Techniques, 2nd Edition; however, it can also be used with any multilevel and/or longitudinal modeling book or as a stand-alone text.
Get the book
Other editions
Similar books
-
Multilevel Modeling of Categorical Outcomes Using IBM SPSS
By Scott Thomas, Ronald H Heck, Lynn TabataThis is the first workbook that introduces the multilevel approach to modeling with categorical outcomes using IBM SPSS Version 20.
-
Multilevel Modeling: Applications in STATA®, IBM® SPSS®, SAS®, R, & HLMTM
By G. David GarsonApplications in STATA®, IBM® SPSS®, SAS®, R, & HLMTM G. David Garson. addition to the editor, and the five chapters by the editor use different examples and have different content.) Garson, G. David. (2013b).
-
Hierarchical Linear Modeling: Guide and Applications
By G. David GarsonGuide and Applications G. David Garson. Hierarchical Linear Modeling Guide and Applications G. David Garson Editor North Carolina State University BRIEF CONTENTS Preface xiii About the Editor xv About the.
-
Multilevel Modeling in Plain Language
By David Pevalin, Karen RobsonThis book is the perfect answer for anyone who needs a clear, accessible introduction to multilevel modeling.
-
An Introduction to Multilevel Modeling Techniques
By Ronald H. Heck, Scott L. Thomas... 102, 114 B Barcikowski, R., 6, 29 Barnett, R., 183 Bashaw, W., 38 Bassiri, D., 29, 30 Bentler, P., 21, 23, 24, 27, 95, 98, 100, 101,102, 114, 120, 133, 155,190, 191 Bock, R., 12 Bollen, K., 96 Boomsma, A., 95, 99, 101 Brennan, R., ...
-
Using Mplus for Structural Equation Modeling: A Researcher's Guide
By E. Kevin KellowayThis practical book, which updates author E. Kevin Kelloway’s 1998 book Using LISREL for Structural Equation Modeling, retains the successful five-step process employed in the earlier book, with a thorough update for use in the Mplus ...
-
Introduction to Structural Equation Modeling Using IBM SPSS Statistics and Amos
By Niels BlunchThe book includes: Learning objectives, key concepts and questions for further discussion in each chapter. Helpful diagrams and screenshots to expand on concepts covered in the texts.
-
Multilevel Modeling for Social and Personality Psychology
By John B NezlekThis text will be perfect for all advanced students and researchers in social and personality psychology using social psychophysiological methods as part of their studies or research.
-
Applied Multivariate Statistics for the Social Sciences: Analyses with SAS and IBM’s SPSS, Sixth Edition
By Keenan A. Pituch, James P. StevensFeatures new to this edition include: NEW chapter on Logistic Regression (Ch. 11) that helps readers understand and use this very flexible and widely used procedure NEW chapter on Multivariate Multilevel Modeling (Ch. 14) that helps readers ...
-
Discovering Statistics Using IBM SPSS Statistics: North American Edition
By Andy FieldWith an exciting new look, math diagnostic tool, and a research roadmap to navigate projects, this new edition of Andy Field's award-winning text offers a unique combination of humor and step-by-step instruction to make learning statistics ...