This volume presents the first wide-ranging critical review of validity generalization (VG)--a method that has dominated the field since the publication of Schmidt and Hunter's (1977) paper "Development of a General Solution to the Problem of Validity Generalization." This paper and the work that followed had a profound impact on the science and practice of applied psychology. The research suggests that fundamental relationships among tests and criteria, and the constructs they represent are simpler and more regular than they appear.
Looking at the history of the VG model and its impact on personnel psychology, top scholars and leading researchers of the field review the accomplishments of the model, as well as the continuing controversies. Several chapters significantly extend the maximum likelihood estimation with existing models for meta analysis and VG. Reviewing 25 years of progress in the field, this volume shows how the model can be extended and applied to new problems and domains. This book will be important to researchers and graduate students in the areas of industrial organizational psychology and statistics.
Table of Contents
Contents: J.N. Cleveland, E.A. Fleishman, Series Foreword. Preface. K.R. Murphy, The Logic of Validity Generalization. F. Schmidt, J. Hunter, History, Development, Evolution, and Impact of Validity Generalization and Meta-Analysis Methods, 1975-2001. P. Bobko, P.L. Roth, Meta-Analysis and Validity Generalization as Research Tools: Issues of Sample Bias and Degrees of Mis-Specification. P.R. Sackett, The Status of Validity Generalization Research: Key Issues in Drawing Inferences From Cumulative Research Findings. H.R. Rothstein, Progress Is Our Most Important Product: Contributions of Validity Generalization and Meta-Analysis to the Development and Communication of Knowledge in I/O Psychology. F.J. Landy, Validity Generalization: Then and Now. M.R. Barrick, M.K. Mount, Impact of Meta-Analysis Methods on Understanding Personality-Performance Relationships. M.G. Rothstein, R.B. Jelley, The Challenge of Aggregating Studies of Personality. N.S. Raju, F. Drasgow, Maximum Likelihood Estimation in Validity Generalization. M.J. Burke, R.S. Landis, Methodological and Conceptual Challenges in Conducting and Interpreting Meta-Analyses. F.L. Oswald, R.A. McCloy, Meta-Analysis and the Art of the Average. M.T. Brannick, S.M. Hall, Validity Generalization From a Bayesian Perspective. R.P. DeShon, A Generalizability Theory Perspective on Measurement Error Corrections in Validity Generalization. K.R. Murphy, D.A. Newman, The Past, Present, and Future of Validity Generalization.