This collection provides a primer to the process and promise of computational modeling for industrial-organizational psychologists. With contributions by global experts in the field, the book is designed to expand readers’ appreciation for computational modeling via chapters focused on key modeling achievements in domains relevant to industrial-organizational psychology, including decision making in organizations, diversity and inclusion, learning and training, leadership, and teams. To move the use of computational modeling forward, the book includes specific how-to-chapters on two of the most commonly used modeling approaches: agent-based modeling and system dynamics modeling. It also gives guidance on how to evaluate these models qualitatively and quantitatively, and offers advice on how to read, review, and publish papers with computational models. The authors provide an extensive description of the myriad of values computational modeling can bring to the field, highlighting how they offer a more transparent, precise way to represent theories and can be simulated to offer a test of the internal consistency of a theory and allow for predictions. This is accompanied by an overview of the history of computational modeling as it relates to I-O psychology. Throughout, the authors reflect on computational modeling’s journey, looking back to its history as they imagine its future in I-O psychology. Each contribution demonstrates the value and opportunities computational modeling can provide the individual researcher, research teams, and fields of I-O psychology and management. This volume is an ideal resource for anyone interested in computational modeling, from scholarly consumers to computational model creators.

This collection provides a primer to the process and promise of computational modeling for industrial-organizational psychologists. With contributions by global experts in the field, the book is designed to expand readers’ appreciation for computational modeling via chapters focused on key modeling achievements in domains relevant to industrial-organizational psychology, including decision making in organizations, diversity and inclusion, learning and training, leadership, and teams. To move the use of computational modeling forward, the book includes specific how-to-chapters on two of the most commonly used modeling approaches: agent-based modeling and system dynamics modeling. It also gives guidance on how to evaluate these models qualitatively and quantitatively, and offers advice on how to read, review, and publish papers with computational models. The authors provide an extensive description of the myriad of values computational modeling can bring to the field, highlighting how they offer a more transparent, precise way to represent theories and can be simulated to offer a test of the internal consistency of a theory and allow for predictions. This is accompanied by an overview of the history of computational modeling as it relates to I-O psychology. Throughout, the authors reflect on computational modeling’s journey, looking back to its history as they imagine its future in I-O psychology. Each contribution demonstrates the value and opportunities computational modeling can provide the individual researcher, research teams, and fields of I-O psychology and management. This volume is an ideal resource for anyone interested in computational modeling, from scholarly consumers to computational model creators. Chapter 1 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.

"This book addresses the reticence of researchers to use computational modeling, advocating the wider use of this tool. Contributing authors describe their work in using computational modeling to study a wide range of problems, such as employee withdrawal; faking on personality tests; the formation, continuation, and dissolution of groups; and organizational change."--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved

Handbook of Research Methods in Industrial and Organizational Psychology is a comprehensive and contemporary treatment of research philosophies, approaches, tools, and techniques indigenous to industrial and organizational psychology. Only available research handbook for Industrial & Organizational Psychology. Contributors are leading methodological & measurement scholars. Excellent balance of practical and theoretical insights which will be of interest to both novice and experienced organizational researchers. Great companion to the content-oriented Handbooks. Now available in full text online via xreferplus, the award-winning reference library on the web from xrefer. For more information, visit www.xreferplus.com

This book presents an integrated framework for developing and testing computational models in psychology and related disciplines. Researchers and students are given the knowledge and tools to interpret models published in their area, as well as to develop, fit, and test their own models.

This edited volume is derived from a conference held in honor of Charles Hulin's contribution to the psychology of work. His research has carefully developed and tested theory related to job satisfaction, withdrawal from work, and sexual harassment. Edited by Hulin's students, The Psychology of Work discusses research in job satisfaction. This research shows that job satisfaction plays an essential role in theories of organizational behavior. Formal models are used, such as item response theory, structural equation modeling, and computational models. Three general and consistent themes in Hulin's research are represented in this book's chapters. The first theme is a focus on broad, general constructs, such as job satisfaction. The virtue of this approach is that a wide range of behavior can be explained by a small number of variables. The second theme involves the examination of the antecedents and consequences of job satisfaction. This theme is increasingly important because it ties research on job attitudes and job behaviors where links are consistently found to social attitudes and behaviors where links are rarely found. The third theme consists of Hulin's interest in the use of formal models to characterize and understand behavior. This volume will be of interest to scholars and students in industrial/organizational psychology, human resources, organizational behavior, and management.

Describes the newest method for predicting outcomes that result from the complex and dynamic ways that organizations work. By creating "virtual organizations," computational modeling demonstrates the final effects of complex interactions, enabling researcher to confront the logic of their theories before time-consuming and costly data collection occurs. Through modeling, vital questions about personality, industrial/organizational psychology, measurement, and assessment issues in both theoretical and applied research are addressed. This volume shows researchers both the advantages of using computational modeling and the best strategies, contexts, and methods for use. (PsycINFO Database Record (c) 2004 APA, all rights reserved).