商品簡介
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.
作者簡介
Fritz Drasgow is a professor of psychology and director of the Center for Human Resources Management at the University of Illinois. He is also the current chair of Scientific Affairs at the Society for Industrial and Organizational Psychology.
Neal Schmitt is University Distinguished Professor of Psychology and Management and chair of the psychology department at Michigan State University. He is the editor of SIOP's Organizational Frontiers series.
目次
Foreword (Neal Schmitt).
Preface.
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.
