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.
General
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