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The handbook of multilevel theory, measurement, and analysis
Title
The handbook of multilevel theory, measurement, and analysis / edited by Stephen E. Humphrey and James M. LeBreton.
ISBN
9781433830013 (print ed.)
1433830019 (print ed.)
9781433830099 (electronic bk.)
1433830094 (electronic bk.)
Edition
First Edition.
Publication
Washington D.C. : American Psychological Association, 2019.
Physical Description
1 online resource (ix, 637 pages) ; cm
Local Notes
Access is available to the Yale community.
Notes
Electronic reproduction. Washington, D.C. : American Psychological Association, 2019. Available via World Wide Web. Access limited by licensing agreement.
Access and use
Access restricted by licensing agreement.
Summary
"The purpose of this handbook is to provide guidance for scholars working in the social and behavioral sciences who wish to consider the implications that multilevel research (i.e., theory, measurement, and analysis) may have for their research programs. The chapters in the book are accessible to researchers from a wide array of research disciplines including (but not limited to) communication, education, sociology, psychology (clinical, developmental, industrial, social), management (strategy, human resources, organizational behavior), and nursing. The book is organized into four parts comprising twenty five chapters. Part I focuses on providing guidance on how to improve theory by integrating a multilevel perspective. Part II transition from focusing largely on issues related to multilevel theory, to a discussion of issues related to multilevel measurement and research design. It is important for those readers who have specified their theory and are now ready to set about collecting data to test it. Part III deals with questions of analysis on multilevel regression analyses, dyadic data analysis, moderated mediation, and network analysis. Part IV consists of two concluding chapters which provide perspective on the development of multilevel research. The first concluding chapter begins by providing a historical perspective on cross-level models, examining the similarities and differences in how the concept of "cross-level models" has been applied by various groups of researchers. It then transitions to the presentation of an integrative cross-level model, discussing its applicability to theory building and testing within the organizational sciences."--Preface. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
Variant and related titles
Ovid PsycBooks.
Other formats
Also issued in print.
Online version: Handbook of multilevel theory, measurement, and analysis First Edition. Washington, DC : American Psychological Association, [2018]
Original
Format
Books / Online
Language
English
Added to Catalog
January 16, 2019
Bibliography
Includes bibliographical references and index.
Contents
Multilevel theory
On finding your level / Stanley M. Gully and Jean M. Phillips
Contextualizing context in organizational research / Cheri Ostroff
Ask not what the study of context can do for you : ask what you can do for the study of context / Rustin D. Meyer, Katie England, Elnora D. Kelly, Andrew Helbling, MinShuou Li, and Donna Outten
The only constant is change : expanding theory by incorporating dynamic properties into one's models / Matthew A. Cronin and Jeffrey B. Vancouver
The means are the end : complexity science in organizational research / Juliet R. Aiken, Paul J. Hanges, & Tiancheng Chen
The missing levels of microfoundations: a call for bottom-up theory and methods / Robert E. Ployhart and Jonathan Hendricks
Multilevel emergence in work collectives / John E. Mathieu and Margaret M. Luciano
Multilevel thoughts on social networks / Daniel J. Brass and Stephen P. Borgatti
Conceptual foundations of multilevel social networks / Srikanth Paruchuri, Martin C. Goossen, and Corey Phelps
Multilevel measurement and design
Introduction to data collection in multilevel research / Le Zhou, Yifan Song, Valeria Alterman, Yihao Liu, and Mo Wang
Construct validation in multilevel studies / Andrew T. Jebb, Louis Tay, Vincent Ng, and Sang Eun Woo
Multilevel measurement : agreement, reliability, and nonindependence / Dina V. Krasikova and James M. LeBreton
Looking within : an examination, combination, and extension of within-person methods across multiple levels of analysis / Daniel J. Beal and Allison S. Gabriel
Power analysis for multilevel research / Charles A. Scherbaum and Erik Pesner
Explained variance measures for multilevel models / David M. LaHuis, Caitlin E. Blackmore, and Kinsey B. Bryant-Lees
Missing data in multilevel research / Simon Grund, Oliver Lüdtke, and Alexander Robitzsch
Multilevel analysis
A primer on multilevel (random coefficient) regression modeling / Levi Shiverdecker and James M. LeBreton
Dyadic data analysis / Andrew P. Knight and Stephen A. Humphrey
A primer on multilevel structural equation modeling : user-friendly guidelines / Robert J. Vandenberg and Hettie A. Richardson
Moderated mediation in multilevel sem: decomposing effects of race on math achievement within versus between high schools in the united states / Michael J. Zyphur, Zhen Zhang, Kristopher J. Preacher, and Laura J. Bird
Anything but normal : the challenges, solutions, and practical considerations of analyzing nonnormal multilevel data / Miles A. Zachary, Curt B. Moore, and Gary A. Ballinger
A temporal perspective on emergence : using 3-level mixed effects models to track consensus emergence in groups / Jonas W. B. Lang and Paul D. Bliese
Social network effects: computational modeling of network contagion and climate emergence
Daniel a. newman and wei wang
Reflections on multilevel research
Cross-level models / Francis J. Yammarino and Janaki Gooty
Panel interview : reflections on multilevel theory, measurement, and analysis / Michael E. Hoffman, David Chan, Gilad Chen, Fred Dansereau, Denise Rousseau, and Benjamin Schneider
Index
About the editors.
Subjects
Genre/Form
Handbooks.
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