The Handbook of Multilevel Theory, Measurement, and Analysis
Herausgeber: Humphrey, Stephen E.; Lebreton, James M.
The Handbook of Multilevel Theory, Measurement, and Analysis
Herausgeber: Humphrey, Stephen E.; Lebreton, James M.
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This handbook shows scholars how to conduct multilevel research. Chapters discuss the importance of context, dynamics, and complexity, and guide readers through the nuances of research design and analysis
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This handbook shows scholars how to conduct multilevel research. Chapters discuss the importance of context, dynamics, and complexity, and guide readers through the nuances of research design and analysis
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Produktdetails
- Produktdetails
- Verlag: American Psychological Association (APA)
- Seitenzahl: 600
- Erscheinungstermin: 27. November 2018
- Englisch
- Abmessung: 287mm x 217mm x 40mm
- Gewicht: 1705g
- ISBN-13: 9781433830013
- ISBN-10: 1433830019
- Artikelnr.: 53931405
- Verlag: American Psychological Association (APA)
- Seitenzahl: 600
- Erscheinungstermin: 27. November 2018
- Englisch
- Abmessung: 287mm x 217mm x 40mm
- Gewicht: 1705g
- ISBN-13: 9781433830013
- ISBN-10: 1433830019
- Artikelnr.: 53931405
Edited by Stephen E. Humphrey and James M. LeBreton
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
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
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
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