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The Handbook of Multilevel Theory, Measurement, and Analysis

ISBN: 978-1-4338-3001-3
November 2018
600 pages
Item # 4318156
Hardcover
109ドル.99
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Overview

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, Stephen E. Humphrey and James M. LeBreton bring together experts on multilevel research who 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 variety of disciplines including communication, education, sociology, psychology, and management.

Table of contents

Contributors

Introduction

I. Multilevel Theory

  1. On Finding Your Level
    Stanley M. Gully and Jean M. Phillips
  2. Contextualizing Context in Organizational Research
    Cheri Ostroff
  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
  4. The Only Constant Is Change: Expanding Theory by Incorporating Dynamic Properties Into One's Models
    Matthew A. Cronin and Jeffrey B. Vancouver
  5. The Means Are the End: Complexity Science in Organizational Research
    Juliet R. Aiken, Paul J. Hanges, and Tiancheng Chen
  6. The Missing Levels of Microfoundations: A Call for Bottom-Up Theory and Methods
    Robert E. Ployhart and Jonathan L. Hendricks
  7. Multilevel Emergence in Work Collectives
    John E. Mathieu and Margaret M. Luciano
  8. Multilevel Thoughts on Social Networks
    Daniel J. Brass and Stephen P. Borgatti
  9. Conceptual Foundations of Multilevel Social Networks
    Srikanth Paruchuri, Martin C. Goossen, and Corey Phelps

II. Multilevel Measurement and Design

  1. Introduction to Data Collection in Multilevel Research
    Le Zhou, Yifan Song, Valeria Alterman, Yihao Liu, and Mo Wang
  2. Construct Validation in Multilevel Studies
    Andrew T. Jebb, Louis Tay, Vincent Ng, and Sang Woo
  3. Multilevel Measurement: Agreement, Reliability, and Nonindependence
    Dina V. Krasikova and James M. LeBreton
  4. Looking Within: An Examination, Combination, and Extension of Within-Person Methods Across Multiple Levels of Analysis
    Daniel J. Beal and Allison S. Gabriel
  5. Power Analysis for Multilevel Research
    Charles A. Scherbaum and Erik Pesner
  6. Explained Variance Measures for Multilevel Models
    David M. LaHuis, Caitlin E. Blackmore, and Kinsey B. Bryant-Lees
  7. Missing Data in Multilevel Research
    Simon Grund, Oliver Lüdtke, and Alexander Robitzsch

III. Multilevel Analysis

  1. A Primer on Multilevel (Random Coefficient) Regression Modeling
    Levi K. Shiverdecker and James M. LeBreton
  2. Dyadic Data Analysis
    Andrew P. Knight and Stephen E. Humphrey
  3. A Primer on Multilevel Structural Modeling: User-Friendly Guidelines
    Robert J. Vandenberg and Hettie A. Richardson
  4. 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
  5. Anything but Normal: The Challenges, Solutions, and Practical Considerations of Analyzing Nonnormal Multilevel Data
    Miles A. Zachary, Curt B. Moore, and Gary A. Ballinger
  6. 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
  7. Social Network Effects: Computational Modeling of Network Contagion and Climate Emergence
    Daniel A. Newman and Wei Wang

IV. Reflections on Multilevel Research

  1. Cross-Level Models
    Francis J. Yammarino and Janaki Gooty
  2. 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

Contributor bios

Stephen E. Humphrey, PhD, is the Alvin H. Clemens Professor of Management and Organization in the Smeal College of Business at Pennsylvania State University.

His research focuses on social relations at work, with a primary focus on teamwork, the drivers of team success, and the development of relationships within teams. Much of his work unpacks the microdynamics of teams, approaching research questions using a multilevel, multiperiod, multitheoretical lens.

Dr. Humphrey's research has been published in various management and psychology outlets, including Academy of Management Journal, Journal of Applied Psychology, Journal of Personality, Personnel Psychology, and Organizational Behavior and Human Decision Processes.

He has authored numerous book chapters and previously served as the associate editor of Organizational Psychology Review, and currently serves on the editorial boards of Academy of Management Journal and Journal of Applied Psychology.

James M. LeBreton, PhD, is a professor of psychology at Pennsylvania State University.

His research focuses on the theory and measurement of implicit motives (e.g., motive to aggress, motive to achieve) and understanding how implicit motives are related to a range of work-related behaviors (e.g., counterproductive work behavior, leadership, team performance).

Dr. LeBreton's methodological work focuses on topics such as assessing interrater agreement and reliability, analyzing longitudinal and multilevel data, and assessing the relative importance of predictors in regression models.

In addition to authoring a book on implicit personality and several book chapters, Dr. LeBreton has published articles in Current Directions in Psychological Science, Journal of Applied Psychology, Journal of Management, Personnel Psychology, Perspectives on Psychological Science, Psychological Methods, and Psychological Science.

In 2009, he was awarded the Early Career Award from the Academy of Management's Research Methods Division and the Consortium for the Advancement of Research Methods and Analysis. In 2013, he was elected Fellow of APA and the Society for Industrial and Organizational Psychology.

Dr. LeBreton has served on the Executive Committee for the Research Methods Division of the Academy of Management and the Scientific Affairs Committee for the Society for Industrial and Organizational Psychology.

He currently serves on the editorial boards of Human Performance, Journal of Applied Psychology, and Journal of Management. From 2014 to 2017, Dr. LeBreton served as the editor-in-chief for Organizational Research Methods.

In addition, he is a regular instructor and presenter for the Consortium for the Advancement of Research Methods and Analysis.

Reviews and awards

This is a scholarly gem. If you want to know the latest in multilevel science, this is the source! Humphrey and LeBreton have assembled world-class scholars on this topic, and they provide the latest insights and pearls of wisdom on multilevel science. A must-read for organizational scientists.
—Eduardo Salas, PhD
Allyn R. & Gladys M. Cline Professor of Psychology; Chair, Department of Psychological Sciences, Rice University, Houston, TX

Resources

These supplemental materials contain computer codes for use in multilevel analysis and the study of specific multilevel analysis examples, as presented in the print edition of The Handbook of Multilevel Theory, Measurement, and Analysis. These documents are offered for your personal use and may not be redistributed without permission from the publisher.