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Measuring and Analyzing Behavior in Organizations: Advances in Measurement and Data Analysis



Measuring and Analyzing Behavior in Organizations: Advances in Measurement and Data Analysis

Fritz Drasgow (Editor), Neil Schmitt (Editor)

ISBN: 978-0-787-95301-0 November 2001 Pfeiffer 624 Pages


Measuring and Analyzing Behavior in Organizations brings together the latest advances in measurement and data analysis, providing accessible, current discussions of measurement, applied statistics, research methods, and data analysis. The book details the range of problems that can be addressed with these new approaches, answering the more complex questions with sophisticated analyses that can extract more information from the data than simpler methods. The contributors provide workable solutions to many previously intractable problems, including those that require measuring change, studying person-environment fit, understanding the effects of error, and more.
Foreword (Neal Schmitt).


The Contributors.

Part One: Introduction.

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

Part Two: Description and Measurement of Variables.

2. The Grounded Theory Approach to Qualitative Research (KarenLocke).

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

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

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

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

7. Generalizability Theory (Richard P. DeShon).

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

Part Three: Examining the Interrelationships Among Variables andTesting 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 RegressionAnalysis and Response Surface Methodology (Jeffrey R.Edwards).

12. Multilevel Random Coefficient Modeling in OrganizationalResearch: 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 (CharlesHulin, Andrew G. Miner, Steven T. Seitz).

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

Name Index.

Subject Index.
"This is an excellent book that most of us will find useful."(Personnel Psychology, Spring 2003)