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Measuring and Analyzing Behavior in Organizations. Advances in Measurement and Data Analysis. J-B SIOP Frontiers Series

  • ID: 2212313
  • Book
  • November 2001
  • 624 Pages
  • John Wiley and Sons Ltd
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Researchers and practitioners looking for new or updated methods of measurement and data analysis must often spend a great deal of time tracking down and reading technical articles from a wide variety of journals devoted to these topics. Now, this fifteenth volume in the Society for Industrial and Organizational Psychology′s Organizational Frontiers Series fills the gap in the literature by providing readable, up–to–date discussions of many of the most important areas of measurement and data analysis. In each chapter, the expert authors provide descriptions of the types of problems that can or should be addressed with the approach, a description of the limitations of the method, and an instructive example that illustrates the advantages of the approach and highlights the way it should be used. Most important,
Measuring and Analyzing Behavior in Organizations allows substantive researchers to learn about recent developments without having to spend countless hours reading highly technical books and articles.

Contributors to Measuring and Analyzing Behavior in Organizations include:

Paul D. Bliese
Michael Borenstein
David Chan
Richard P. DeShon
Fritz Drasgow
Jeffrey R. Edwards
Barbara B. Ellis
David A. Harrison
Charles Hulin
Charles E. Lance
Karen Locke
Michael A. McDaniel
Roger E. Millsap
Andrew G. Miner
Julie B. Olson–Buchanan
Nambury S. Raju
Neal Schmitt
Steven Paul Reise
Hannah R. Rothstein
Steven T. Seitz
Robert J. Vandenberg
Niels G. Waller
Michael J. Zickar

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Foreword (Neal Schmitt).


The Contributors.

Part One: Introduction.

1. Applied Problems and Methods of Analysis: A Road Map (Neal Schmitt, Fritz Drasgow).

Part Two: Description and Measurement of Variables.

2. The Grounded Theory Approach to Qualitative Research (Karen Locke).

3. Computer–Based Advances in Assessment (Julie B. Olson–Buchanan).

4. Item Response Theory for Dichotomous Assessment Data (Steven Paul Reise, Niels G. Waller).

5. Modeling Data with Polytomous Item Response Theory (Michael J. Zickar).

6. Differential Item and Test Functioning (Nambury S. Raju, Barbara B. Ellis).

7. Generalizability Theory (Richard P. DeShon).

8. Confirmatory Factor Analysis (Charles E. Lance, Robert J. Vandenberg).

Part Three: Examining the Interrelationships Among Variables and Testing Substantive Hypotheses.

9. Structural Equation Modeling: A User′s Guide (Roger E. Millsap).

10. Latent Growth Modeling (David Chan).

11. Alternatives to Difference Scores: Polynomial Regression Analysis and Response Surface Methodology (Jeffrey R. Edwards).

12. Multilevel Random Coefficient Modeling in Organizational Research: Examples Using SAS and S–PLUS (Paul D. Bliese).

13. Structure and Timing in Limited Range Dependent Variables: Regression Models for Predicting If and When (David A. Harrison).

14. Computational Modeling in Organizational

Sciences: Contributions of a Third Research Discipline (Charles Hulin, Andrew G. Miner, Steven T. Seitz).

15. Meta–Analysis: A Review of Quantitative Cumulation Methods (Hannah R. Rothstein, Michael A. McDaniel, Michael Borenstein).

Name Index.

Subject Index.
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Fritz Drasgow
Neil Schmitt
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