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Methods of Meta-Analysis
Correcting Error and Bias in Research Findings
Buch von Frank L. Schmidt (u. a.)
Sprache: Englisch

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Beschreibung
Designed to provide researchers clear and informative insight into techniques of meta-analysis, the Third Edition of Methods of Meta-Analysis: Correcting Error and Bias in Research Findings is the most comprehensive text on meta-analysis available today. It is the only book that presents a full and usable treatment of the role of study artifacts in distorting study results, as well as methods for correcting results for such biases and errors.

Meta-analysis is arguably the most important methodological innovation in the last thirty-five years, due to its immense impact on the development of cumulative knowledge and professional practice. This text, now in its updated Third Edition, has been revised to cover the newest developments in meta-analysis methods, evaluation, correction, and more. This reader-friendly book is the definitive resource on meta-analysis.

"This text is the primary source text for psychometric meta-analysis methods."-Emily E. Tanner-Smith, Vanderbilt University
"The key strength of the book is the complete and thorough coverage of psychometric meta-analysis. This technique is not covered in any other meta-analysis text, and is a major contribution to the literature…The meta-analysis field needs to find ways to integrate Hunter and Schmidt's methods into current meta-analysis practice."-Terri D. Pigott, Loyola University of Chicago

"This is an important text. It is the only book that presents adequate coverage of psychometric meta-analysis. In addition to its use as a textbook, it is an invaluable resource for anyone involved in meta-analytic studies."-Steven Pulos, University of Northern Colorado
Designed to provide researchers clear and informative insight into techniques of meta-analysis, the Third Edition of Methods of Meta-Analysis: Correcting Error and Bias in Research Findings is the most comprehensive text on meta-analysis available today. It is the only book that presents a full and usable treatment of the role of study artifacts in distorting study results, as well as methods for correcting results for such biases and errors.

Meta-analysis is arguably the most important methodological innovation in the last thirty-five years, due to its immense impact on the development of cumulative knowledge and professional practice. This text, now in its updated Third Edition, has been revised to cover the newest developments in meta-analysis methods, evaluation, correction, and more. This reader-friendly book is the definitive resource on meta-analysis.

"This text is the primary source text for psychometric meta-analysis methods."-Emily E. Tanner-Smith, Vanderbilt University
"The key strength of the book is the complete and thorough coverage of psychometric meta-analysis. This technique is not covered in any other meta-analysis text, and is a major contribution to the literature…The meta-analysis field needs to find ways to integrate Hunter and Schmidt's methods into current meta-analysis practice."-Terri D. Pigott, Loyola University of Chicago

"This is an important text. It is the only book that presents adequate coverage of psychometric meta-analysis. In addition to its use as a textbook, it is an invaluable resource for anyone involved in meta-analytic studies."-Steven Pulos, University of Northern Colorado
Über den Autor

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.

Inhaltsverzeichnis
PART I: INTRODUCTION TO META-ANALYSIS
1. Integrating Research Finding Across Studies
2. Study Artifacts and Their Impact on Study Outcomes
PART II: META-ANALYSIS OF CORRELATIONS
3. Meta-Analysis of Correlations Corrected Individually for Artifacts
4. Meta-Analysis of Correlations Using Artifact Distributions
5. Technical Questions In Meta-Analysis of Correlations
PART III: META-ANALYSIS OF EXPERIMENTAL EFFECTS AND OTHER DICHOTOMOUS COMPARISONS
6. Treatment Effects: Experimental Artifacts and Their Impact
7. Meta-Analysis Methods for d Values
8. Technical Questions in Meta-Analysis of d Values
PART IV: GENERAL ISSUES IN META-ANALYSIS
9. General Technical Issues in Meta-Analysis
10. Cumulation of Findings Within Studies
11. Different Meta-Analysis Methods and Related Software
12. Locating, Evaluating, Selecting, and Coding Studies and Presentation of Meta-Analysis Results
13. Availability Bias, Source Bias, and Publication Bias in Meta-Analysis
14. Summary of Psychometric Meta-Analysis
Details
Erscheinungsjahr: 2014
Fachbereich: Allgemeines
Rubrik: Sozialwissenschaften
Medium: Buch
Seiten: 674
Inhalt: Gebunden
ISBN-13: 9781452286891
ISBN-10: 1452286892
Sprache: Englisch
Ausstattung / Beilage: HC gerader Rücken kaschiert
Einband: Gebunden
Autor: Schmidt, Frank L.
Hunter, John E.
Auflage: 3. Auflage
Hersteller: Sage Publications, Inc
Maße: 260 x 183 x 40 mm
Von/Mit: Frank L. Schmidt (u. a.)
Erscheinungsdatum: 04.03.2014
Gewicht: 1,444 kg
preigu-id: 121035941
Über den Autor

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.

Inhaltsverzeichnis
PART I: INTRODUCTION TO META-ANALYSIS
1. Integrating Research Finding Across Studies
2. Study Artifacts and Their Impact on Study Outcomes
PART II: META-ANALYSIS OF CORRELATIONS
3. Meta-Analysis of Correlations Corrected Individually for Artifacts
4. Meta-Analysis of Correlations Using Artifact Distributions
5. Technical Questions In Meta-Analysis of Correlations
PART III: META-ANALYSIS OF EXPERIMENTAL EFFECTS AND OTHER DICHOTOMOUS COMPARISONS
6. Treatment Effects: Experimental Artifacts and Their Impact
7. Meta-Analysis Methods for d Values
8. Technical Questions in Meta-Analysis of d Values
PART IV: GENERAL ISSUES IN META-ANALYSIS
9. General Technical Issues in Meta-Analysis
10. Cumulation of Findings Within Studies
11. Different Meta-Analysis Methods and Related Software
12. Locating, Evaluating, Selecting, and Coding Studies and Presentation of Meta-Analysis Results
13. Availability Bias, Source Bias, and Publication Bias in Meta-Analysis
14. Summary of Psychometric Meta-Analysis
Details
Erscheinungsjahr: 2014
Fachbereich: Allgemeines
Rubrik: Sozialwissenschaften
Medium: Buch
Seiten: 674
Inhalt: Gebunden
ISBN-13: 9781452286891
ISBN-10: 1452286892
Sprache: Englisch
Ausstattung / Beilage: HC gerader Rücken kaschiert
Einband: Gebunden
Autor: Schmidt, Frank L.
Hunter, John E.
Auflage: 3. Auflage
Hersteller: Sage Publications, Inc
Maße: 260 x 183 x 40 mm
Von/Mit: Frank L. Schmidt (u. a.)
Erscheinungsdatum: 04.03.2014
Gewicht: 1,444 kg
preigu-id: 121035941
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