Modern Research Methods for the Study of Behavior in Organizations

In introducing this collection of 14 chapters, Cortina (industrial/organizational psychology, George Mason U., Virginia) and Landis (psychology, Illinois Institute of Technology) emphasize the role of research methodology in conceptualizing complex organizational phenomena. To expand knowledge of the methods available, international contributors discuss the latest statistical analysis tools including catastrophe theory models, random coefficient models, nonlinear growth models, social network analysis, latent class analysis, and data mining techniques. Research design and measurement approaches discussed include applications of conditional reasoning and qualitative techniques such as ethnographic and grounded-theory approaches. Publication of the Society for Industrial and Organizational Psychology, Annotation c2013 Book News, Inc., Portland, OR (booknews.com)

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.