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Methods of Meta-Analysis: Correcting Error and Bias in Research Findings, by John E. Hunter, Frank L. Schmidt
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Meta-analysis is arguably the most important methodological innovation in the social and behavioral sciences in the last 25 years. Developed to offer researchers an informative account of which methods are most useful in integrating research findings across studies, this book will enable the reader to apply, as well as understand, meta-analytic methods. Rather than taking an encyclopedic approach, the authors have focused on carefully developing those techniques that are most applicable to social science research, and have given a general conceptual description of more complex and rarely-used techniques. Fully revised and updated, Methods of Meta-Analysis, Second Edition is the most comprehensive text on meta-analysis available today.
- Sales Rank: #1648431 in Books
- Brand: Brand: SAGE Publications, Inc
- Published on: 2004-04-07
- Original language: English
- Number of items: 1
- Dimensions: 10.00" h x 1.39" w x 7.00" l, 2.37 pounds
- Binding: Paperback
- 616 pages
- Used Book in Good Condition
Review
“Clearly written and compellingly argued, this book explains the procedures and benefits of correcting for measurement error and range restriction and details the methodological developments in meta-analysis over the last decade. No one should consider conducting a meta-analysis without first reading this book. It is essential reading for all scientists.” (Michael A. McDaniel)
“A book that will certainly appeal not only to the students, but will also be a great reference source for the technically sophisticated professional. The breadth and depth of the coverage, not to mention the novelty and clarity of writing, makes this book a classic in the field. It covers (and at times introduces) many novel issues that will be in the forefront for some years to come―as such a must read for all meta-analysts.” (Vish C. Viswesvaran, Ph.D.)
About the Author
John E. (Jack) Hunter (1939--2002) was a professor in the Department of Psychology at Michigan State University. He received his Ph.D. in quantitative psychology from the University of Illinois. Jack coauthored four books and authored or coauthored over 200 articles and book chapters on a wide variety of methodological topics, including confirmatory and exploratory factor analysis, measurement theory and methods, statistics, and research methods. He also published numerous research articles on such substantive topics as intelligence, attitude change, the relationship between attitudes and behavior, validity generalization, differential validity/selection fairness, and selection utility. Much of his research on attitudes was in the field of communications, and the American Communications Association named a research award in his honor. Professor Hunter received the Distinguished Scientific Award for Contributions to Applied Psychology from the American Psychological Association (APA) (jointly with Frank Schmidt) and the Distinguished Scientific Contributions Award from the Society for Industrial/Organizational Psychology (SIOP) (also jointly with Frank Schmidt). He was a Fellow of APA, APS, and SIOP, and was a past president of the Midwestern Society for Multivariate Experimental Psychology. For the story of Jack’s life, see Schmidt (2003).
Frank L. Schmidt is the Gary F. Fethke Leadership Professor Emeritus in the Department of Management and Organization in the Tippie College of Business at the University of Iowa. He received his Ph.D. in industrial/organizational psychology from Purdue University and has been on the faculties of Michigan State and George Washington Universities. He has authored or coauthored seven books and nearly 200 articles and book chapters on measurement, statistics, research methods, individual differences, and personnel selection. He headed a research program in the U.S. Office of Personnel Management in Washington, D.C., for 11 years, during which time he published numerous research studies in personnel psychology, primarily with John Hunter. Their research on the generalizability of employment selection method validities led to the development of the meta-analysis methods presented in this book. Professor Schmidt has received the Distinguished Scientific Award for Contributions to Applied Psychology from the American Psychological Association (APA) (jointly with John Hunter) and the Distinguished Scientific Contributions Award from the Society for Industrial/Organizational Psychology (SIOP) (also jointly with John Hunter). He has also received the Ingram Olkin Award and the Frederick Mosteller Award, both for contributions to meta-analysis methodology; the Scientific Award for Applications of Psychology from the Association for Psychological Science (APS); the Gold Medal Lifetime Achievement award from the APA Foundation; the Distinguished Career Award for Contributions to Human Resources, and the Distinguished Career Achievement Award for Contributions to Research Methods, both from the Academy of Management. He is a Fellow of the APA, the Association for Psychological Science, and SIOP, and is past president of Division 5 (Measurement, Statistics, & Evaluation) of the APA.
Most helpful customer reviews
0 of 0 people found the following review helpful.
Okay, so it won’t have you splitting your sides ...
By JDub
Okay, so it won’t have you splitting your sides laughing, and there isn’t much in the way of character development, but … The bottom line is the book is written clearly enough that, with a little supplementary reading, I was able to teach myself the techniques necessary to run the meta-analysis that formed the core of my master’s thesis. If you don’t need it, there’s absolutely no point in reading the book, but if you do need it, there’s enough detail and background to cope with any and all of the data-handling problems you will come up against.
0 of 0 people found the following review helpful.
Five Stars
By TAO YANG
great
0 of 2 people found the following review helpful.
Good book
By Nate
It is an essential text for meta-analysis, but I assume you already know that if you are looking to purchase it.
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