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020 _a9781138801707
082 _a658.4072
_bCorM
245 _aModern Research Methods for the study of Behavior in Organizations /
_cedited by jose M.Cortina and Ronald S.Landis
260 _bRoutledge :
_aNewyork,
_c©2013
505 _a1. 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
520 _aThe 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.
650 _aHuman Resource management
650 _aresearch methods
700 _aCortina,Jose M [Ed.]
700 _aLandis,Ronald S [Ed.]
942 _cBK
999 _c7585
_d7585