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.

Validity Generalization(VG)research suggests that fundamental relationships among tests & criteria& the constructs they represent are simpler & more regular than they appear.This book will look @ the history of the VG model & its impact on personnel psyc