Modern Research Methods for the study of Behavior in Organizations / edited by jose M.Cortina and Ronald S.Landis

Contributor(s):

9781138801707

Subject(s):

DDC classification:

658.4072 CorM

Contents:

1. Introduction Part 1: Statistical Analysis 2. Catastrophe Theory and Its Applications in Organizational Psychology Stephen J. Guastello 3. Longitudinal Growth Modeling Robert E. Ployhart and Youngsang Kim 4. Harnessing the Power of Social Network Analysis to Explain Organizational Phenomena Yuval Kalish 5. Latent Class Procedures: Recent Development and Applications Mo Wang and Le Zhou 6. Spurious Relationships in Growth Curve Modeling: The Effects of Stochastic Trends on Regression-based Models Michael Braun, Goran Kuljanin and Richard P. DeShon 7. Practical Applications of Data Mining for Organizational Research Jeffrey M. Stanton Part 2: Research Design and Measurement 8.Use of Conditional Reasoning to Measure the Power Motive Lawrence R. James, James M. LeBreton, Terence R. Mitchell, Daniel R. Smith, Justin A. DeSimone, Robert Cookson, and HyeJoo Lee 9. Qualitative Research Methods for Industrial and Organizational Psychology Robert P. Gephart, Jr. 10. Experience Sampling Methodology NikolaosDimotakis, Remus Ilies, and Timothy A. Judge 11. Synthetic Task Environments for Understanding Human Performance Eduardo Salas, Aaron S. Dietz, Mary Jane Sierra, & Kimberly Smith-Jentsch 12. Petri Nets: Modeling the Complexity of Modern Jobs Michael D. Coovert 13. A Brief Primer on Neuroimaging Methods Cory Adis and James C. Thompson 14. Knowledge and Skill Measurement: Insights from Outside of I/O Psychology Nikki Dudley-Meislahn, E. Daly Vaughn, Eric J. Sydell, &Marisa A. Seeds

Summary: 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.

List(s) this item appears in: New Arrivals 15-30 November 2025, Vol. 06, Issue 31

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Holdings
Item type	Current library	Call number	Status	Barcode
Books	Indian Institute of Technology Tirupati General Stacks	658.4072 CorM (11809) (Browse shelf(Opens below))	Available	11809

1. Introduction

Part 1: Statistical Analysis

2. Catastrophe Theory and Its Applications in Organizational Psychology Stephen J. Guastello

3. Longitudinal Growth Modeling Robert E. Ployhart and Youngsang Kim

4. Harnessing the Power of Social Network Analysis to Explain Organizational Phenomena Yuval Kalish

5. Latent Class Procedures: Recent Development and Applications Mo Wang and Le Zhou

6. Spurious Relationships in Growth Curve Modeling: The Effects of Stochastic Trends on Regression-based Models Michael Braun, Goran Kuljanin and Richard P. DeShon

7. Practical Applications of Data Mining for Organizational Research Jeffrey M. Stanton

Part 2: Research Design and Measurement

8.Use of Conditional Reasoning to Measure the Power Motive Lawrence R. James, James M. LeBreton, Terence R. Mitchell, Daniel R. Smith, Justin A. DeSimone, Robert Cookson, and HyeJoo Lee

9. Qualitative Research Methods for Industrial and Organizational Psychology Robert P. Gephart, Jr.

10. Experience Sampling Methodology NikolaosDimotakis, Remus Ilies, and Timothy A. Judge

11. Synthetic Task Environments for Understanding Human Performance Eduardo Salas, Aaron S. Dietz, Mary Jane Sierra, & Kimberly Smith-Jentsch

12. Petri Nets: Modeling the Complexity of Modern Jobs Michael D. Coovert

13. A Brief Primer on Neuroimaging Methods Cory Adis and James C. Thompson

14. Knowledge and Skill Measurement: Insights from Outside of I/O Psychology Nikki Dudley-Meislahn, E. Daly Vaughn, Eric J. Sydell, &Marisa A. Seeds

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.

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