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Modern Research Methods for the Study of Behavior in Organizations

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advanced organizational research techniques
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B01=Jose M. Cortina
B01=Ronald S. Landis
Catastrophe Modeling
catastrophe theory applications
Category1=Non-Fiction
Category=JMA
Category=JMBT
Category=JMJ
Category=KJU
Conditional Reasoning
conditional reasoning assessment
Conditional Reasoning Test
COP=United Kingdom
Delivery_Delivery within 10-20 working days
eq_bestseller
eq_business-finance-law
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
equation
Erg Model
Esm Study
experience sampling research
growth
Hierarchical Authority Structures
Idea Generation Tasks
Job Knowledge Tests
Justification Mechanisms
Language_English
latent
latent class analysis
Latent Class Variable
Latent Markov
Latent Markov Modeling
Lca
modeling
Monte Carlo Maximum Likelihood Estimation
net
organizational
organizational science methods
PA=Available
petri
Petri Nets
Price_€50 to €100
PS=Active
Quantitative Research
researchers
softlaunch
STEs
Strong Power Motives
structural
Structural Time Series Models
synthetic task environments
Time Varying Covariates
Toxic Leaders
unconditional
Unconditional Growth Model
Underlying Data Generating Mechanism
Van Vugt
Vice Versa

Product details

  • ISBN 9781138801707
  • Weight: 725g
  • Dimensions: 152 x 229mm
  • Publication Date: 01 May 2014
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
  • Language: English
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Description
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.  
About

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.