Validity Generalization (Applied Psychology Series)
ISBN-13:
9780415653114
ISBN-10:
0415653118
Edition:
1
Author:
Kevin R. Murphy
Publication date:
2013
Publisher:
Routledge
Format:
Paperback
464 pages
Category:
Research
,
Psychology & Counseling
,
Behavioral Sciences
,
Education & Training
,
Psychology
,
General
,
Research
FREE US shipping
Book details
ISBN-13:
9780415653114
ISBN-10:
0415653118
Edition:
1
Author:
Kevin R. Murphy
Publication date:
2013
Publisher:
Routledge
Format:
Paperback
464 pages
Category:
Research
,
Psychology & Counseling
,
Behavioral Sciences
,
Education & Training
,
Psychology
,
General
,
Research
Summary
Validity Generalization (Applied Psychology Series) (ISBN-13: 9780415653114 and ISBN-10: 0415653118), written by authors
Kevin R. Murphy, was published by Routledge in 2013.
With an overall rating of 3.6 stars, it's a notable title among other
Research
(Psychology & Counseling, Behavioral Sciences, Education & Training, Psychology, General, Research) books. You can easily purchase or rent Validity Generalization (Applied Psychology Series) (Paperback) from BooksRun,
along with many other new and used
Research
books
and textbooks.
And, if you're looking to sell your copy, our current buyback offer is $0.3.
Description
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.
We would LOVE it if you could help us and other readers by reviewing the book
Book review
Congratulations! We have received your book review.
{user}
{createdAt}
by {truncated_author}