Modern research methods for the study of behavior in organizations

The goal of the chapters in this SIOP Organizational Frontiers Series volume is to challenge researchers to break away from the rote application of traditional methodologies and to capitalize upon the wealth of data collection and analytic strategies available to them. In that spirit, many of the chapters in this book deal with methodologies that encourage organizational scientists to re-conceptualize phenomena of interest (e.g., experience sampling, catastrophe modeling), employ novel data collection strategies (e.g., data mining, Petri nets), and/or apply sophisticated analytic techniques (e.g., latent class analysis). The editors believe that these chapters provide compelling solutions for the complex problems faced by organizational researchers.

Author Notes

Jose M. Cortina is a Professor in the Industrial/Organizational Psychology program at George Mason University. His recent research has involved topics in meta-analysis, structural equation modeling, significance testing, and philosophy of science, as well as predictors and outcomes of emotions in the workplace. He currently serves as Editor of Organizational Research Methods and is a former Associate Editor of the Journal of Applied Psychology . Dr. Cortina was honored by SIOP with the 2001 Ernest J. McCormick Award for Distinguished Early Career Contributions, by the Research Methods Division of the Academy of Management with the 2004 Robert O. McDonald Best Paper Award, and by the Organizational Research Methods Editorial Board with the 2012 Best Paper Award. He was also honored by George Mason University with a 2010 Teaching Excellence Award and by SIOP with the 2011 Distinguished Teaching Award.

Ronald S. Landis is Nambury S. Raju Endowed Professor in the College of Psychology at Illinois Institute of Technology. He has also served on the faculty at Tulane University, where he was awarded the Tulane President's Award for Excellence in Graduate and Professional Teaching in 2004. He is a Fellow of SIOP and was honored by the Organizational Research Methods Editorial Board with the 2012 Best Paper Award. He has primary research interests in the areas of structural equation modeling, multiple regression, and other issues associated with measurement and the prediction of performance. He is currently an Associate Editor of the Journal of Business and Psychology and a former Associate Editor of Personnel Psychology .

Jose M. Cortina and Ronald S. LandisStephen J. GuastelloRobert E. Ployhart and Youngsang KimYuval KalishMo Wang and Le ZhouMichael T. Braun and Goran Kuljanin and Richard P. DeShonJeffrey M. StantonLawrence R. James and James M. LeBreton and Terence R. Mitchell and Daniel R. Smith and Justin A. DeSimone and Robert Cookson and Hye Joo LeeRobert P. Gephart, Jr.Nikolaos Dimotakis and Remus Ilies and Timothy A. JudgeAaron S. Dietz and Wendy L. Bedwell James M. Oglesby and Eduardo Salas and Kathryn E. KeetonMichael D. CoovertCory S. Adis and James C. ThompsonNikki Dudley-Meislahn and E. Daly Vaughn and Eric J. Sydell and Marisa A. Seeds

About the Editors	p. xiii
About the Contributors	p. xv
Series Foreword	p. xxiii
Preface	p. xxv
Chapter 1 Introduction: Transforming Our Field by Transforming its Methods	p. 1
Part 1 Statistical Analysis
Chapter 2 Catastrophe Theory and Its Applications in Industrial/Organizational Psychology	p. 29
Chapter 3 Dynamic Longitudinal Growth Modeling	p. 63
Chapter 4 Harnessing the Power of Social Network Analysis to Explain Organizational Phenomena	p. 99
Chapter 5 Latent Class Procedures: Recent Development and Applications	p. 137
Chapter 6 Spurious Relationships in Growth Curve Modeling: The Effects of Stochastic Trends on Regression-based Models	p. 161
Chapter 7 Data Mining: A Practical Introduction for Organizational Researchers	p. 199
Part 2 Research Design and Measurement
Chapter 8 Use of Conditional Reasoning to Measure the Power Motive	p. 233
Chapter 9 Doing Research With Words: Qualitative Methodologies and Industrial/Organizational Psychology	p. 265
Chapter 10 Experience Sampling Methodology	p. 319
Chapter 11 Synthetic Task Environments for Improving Performance at Work: Principles and the Road Ahead	p. 349
Chapter 12 Petri Nets: Modeling the Complexity of Modern Jobs	p. 381
Chapter 13 A Brief Primer on Neuroimaging Methods for Industrial/Organizational Psychology	p. 405
Chapter 14 Advances in Knowledge Measurement	p. 443
Index	p. 483

Available:*

On Order

Summary

Summary

Author Notes

Table of Contents