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The Handbook of Multilevel Theory, Measurement, and Analysis

The Handbook of Multilevel Theory, Measurement, and Analysis

          
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About the Book

This handbook provides guidance to organizational and social science scholars interested in pursuing multilevel research. Organizational relationships are complex. Employees do their work as individuals, but also as members of larger teams. They exist within various social networks, both within and spanning organizations. Multilevel theory is at the core of the organizational sciences, and unpacking multilevel relationships is fundamental to the challenges faced within these disciplines. Yet, guidance about how to pursue multilevel research has often been siloed within subdomains. In this book, prominent experts on multilevel research guide scholars in the social and behavioral sciences who wish to consider the implications that multilevel research may have for their work. Although the majority of contributors to this handbook have backgrounds in the organizational sciences, the chapters are accessible to researchers from a wide array disciplines including, but not limited to, communication, education, sociology, psychology, and management.  

Table of Contents:
Introduction Part I: Multilevel Theory Chapter 1: On Finding Your Level Stanley M. Gully and Jean M. Phillips Chapter 2: Contextualizing Context in Organizational Research Cheri Ostroff Chapter 3: 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 Chapter 4: The Only Constant Is Change: Expanding Theory by Incorporating Dynamic Properties Into One’s Models Matthew A. Cronin and Jeffrey B. Vancouver Chapter 5: The Means Are the End: Complexity Science in Organizational Research Juliet R. Aiken, Paul J. Hanges, and Tiancheng Chen Chapter 6: The Missing Levels of Microfoundations: A Call for Bottom-Up Theory and Methods Robert E. Ployhart and Jonathan Hendricks Chapter 7: Multilevel Emergence in Work Collectives John E. Mathieu and Margaret M. Luciano Chapter 8: Multilevel Thoughts on Social Networks Daniel J. Brass and Stephen P. Borgatti Chapter 9: Conceptual Foundations of Multilevel Social Networks Srikanth Paruchuri, Martin C. Goossen, and Corey Phelps Part II: Multilevel Measurement and Design Chapter 10: Introduction to Data Collection in Multilevel Research Le Zhou, Yifan Song, Valeria Alterman, Yihao Liu, and Mo Wang Chapter 11: Construct Validation in Multilevel Studies Andrew T. Jebb, Louis Tay, Vincent Ng, and Sang Woo Chapter 12: Multilevel Measurement: Agreement, Reliability, and Nonindependence Dina V. Krasikova and James M. LeBreton Chapter 13: Looking Within: An Examination, Combination, and Extension of Within-Person Methods Across Multiple Levels of Analysis Daniel J. Beal and Allison S. Gabriel Chapter 14: Power Analysis for Multilevel Research Charles A. Scherbaum and Erik Pesner Chapter 15: Explained Variance Measures for Multilevel Models David M. LaHuis, Caitlin E. Blackmore, and Kinsey B. Bryant-Lees Chapter 16: Missing Data in Multilevel Research Simon Grund, Oliver Lüdtke, and Alexander Robitzsch Part III: Multilevel Analysis Chapter 17: A Primer on Multilevel (Random Coefficient) Regression Modeling Levi K. Shiverdecker and James M. LeBreton Chapter 18: Dyadic Data Analysis Andrew P. Knight and Stephen E. Humphrey Chapter 19: A Primer on Multilevel Structural Modeling: User-Friendly Guidelines Robert J. Vandenberg and Hettie A. Richardson Chapter 20: Moderated Mediation in Multilevel Structural Equation Models: 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 Chapter 21: Anything but Normal: The Challenges, Solutions, and Practical Considerations of Analyzing Nonnormal Multilevel Data Miles A. Zachary, Curt B. Moore, and Gary A. Ballinger Chapter 22: A Temporal Perspective on Emergence: Using Three-Level Mixed-Effects Models to Track Consensus Emergence in Groups Jonas W. B. Lang and Paul D. Bliese Chapter 23: Social Network Effects: Computational Modeling of Network Contagion and Climate Emergence Daniel A. Newman and Wei Wang Part IV. Reflections on Multilevel Research Chapter 24: Cross-Level Models Francis J. Yammarino and Janaki Gooty Chapter 25: 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


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Product Details
  • ISBN-13: 9781433830013
  • Publisher: American Psychological Association (APA)
  • Publisher Imprint: American Psychological Association (APA)
  • Height: 279 mm
  • No of Pages: 600
  • Spine Width: 31 mm
  • Width: 216 mm
  • ISBN-10: 1433830019
  • Publisher Date: 27 Nov 2018
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Weight: 1732 gr


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