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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.
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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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.
Inhaltsangabe
Forward Eduardo Salas 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
Forward Eduardo Salas 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
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