UID:
almahu_9949211325402882
Format:
ix, 637 pages ;
,
cm
Edition:
First Edition.
Edition:
Electronic reproduction. Washington, D.C. : American Psychological Association, 2019. Available via World Wide Web.
Edition:
Access limited by licensing agreement.
ISBN:
9781433830013 (print ed.)
,
1433830019 (print ed.)
,
9781433830099 (electronic bk.)
,
1433830094 (electronic bk.)
Content:
"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).
Note:
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.
,
Also issued in print.
Additional Edition:
Online version: Handbook of multilevel theory, measurement, and analysis Washington, DC : American Psychological Association, [2018] ISBN 9781433830099
Additional Edition:
Original
Language:
English
Keywords:
Handbooks
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