Methods of Meta-Analysis: Correcting Error and Bias in Research Findings - Softcover

Hunter, John E.; Schmidt, Frank L.

Softcover

ISBN 10: 0803932235 ISBN 13: 9780803932234

Publisher: SAGE Publications, Inc, 1995

Synopsis

"Methods of Meta-Analysis represents the best compilation to date on this relatively new method of statistically aggregating the results of large numbers of independently conducted social and behavioral science." --Bruce A. Thyer, University of Georgia "Required reading for anyone who wishes to keep abreast of developments in meta-analysis. The authors have been among the chief contributors to the literature on meta-analysis, both as methodologists and practitioners, and are therefore important spokespersons in this area. . . . Coverage of the book′s topics is exceptional, both extensively and intensively. . . . The Hunter-Schmidt method is a powerful and thoroughly conceived approach to meta-analysis, and examining it necessarily introduces the main issues facing any effort at research integration." --Robert Bangert-Drowns, State University of New York at Albany "Methods of Meta-Analysis . . . is more comprehensive than Hunter and Schmidt′s 1982 book and presents many new developments and methods in meta-analysis. Appendixes include computer programs for meta-analysis using PCs or compatibles." --The Score (American Psychological Association, Division 5) "The authors of the present text have been among the most forceful and prolific advocates of meta-analysis. Both in the earlier edition and in the present, greatly expanded sequel, they argue persuasively that pre-meta-analytic views of research have seriously retarded the accumulation of knowledge in social science. The book makes important reading for meta-analysts and social scientists." --Journal of the American Statistical Association Meta-analysis is revolutionizing the process of developing cumulative knowledge in the social sciences--and in finance, medicine, and other disciplines. It has essentially created a new epistemology. The use of meta-analysis has expanded exponentially in most research literature in recent years. This book is the most comprehensive treatment to date of modern meta-analysis methods available. John E. Hunter and Frank L. Schmidt--both recognized experts in meta-analysis--present clear and detailed descriptions of meta-analysis methods, with extensive examples that clarify the applications of these methods. New methods for correcting statistical artifacts not previously addressed are presented for both correlational and experimental studies. Other features of Methods of Meta-Analysis includes:

About this title

About the Authors

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.

Edition details

• Publisher: SAGE Publications, Inc
• Publication date: 1995
• Language: English
• ISBN 10: 0803932235
• ISBN 13: 9780803932234
• Binding: Paperback
• Edition number: 1
• Number of pages: 592