The Handbook of Research Synthesis and Meta-Analisis / edited by Harris Cooper, Larry V. Hedges, and Jeffrey C. Valentine
Publisher: New York : Russell Sage Foundation, 2019Edition: 3rd edDescription: x, 556 p. ; 24 cmISBN: 9780871540058 Subject(s): Estadística -- Metodología


Item type | Current location | Collection | Call number | Status | Date due | Barcode | Course reserves |
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Biblioteca Universidad Europea del Atlántico Fondo General | No ficción | 001.891 HAN | Available | 4812 |
Bibliografía. Índice
PART I INTRODUCTION 1 1. Research Synthesis as a Scientific Process Harris Cooper, Larry V. Hedges, and Jeffrey C. Valentine PART II FORMULATING A PROBLEM 2. Hypotheses and Problems in Research Synthesis Harris Cooper 3. Statistical Considerations Larry V. Hedges PART III SEARCHING THE LITERATURE 4. Scientific Communication and Literature Retrieval Howard D. White 5. Searching Bibliographic Databases Julie Glanville 6. Retrieving Grey Literature, Information, and Data in the Digital Age Dean Giustini vi CONTENTS PART IV CODING THE LITERATURE 7. Incorporating Judgments About Study Quality into Research Syntheses Jeffrey C. Valentine 8. Identifying Potentially Interesting Variables and Analysis Opportunities Mark W. Lipsey 9. Systematic Coding for Research Synthesis David B. Wilson 10. Evaluating Coding Decisions Jack L. Vevea, Nicole A. M. Zelinsky, and Robert G. Orwin PART V STATISTICALLY DESCRIBING AND COMBINING STUDY OUTCOMES 11. Effect Sizes for Meta-Analysis Michael Borenstein and Larry V. Hedges 12. Statistically Analyzing Effect Sizes: Fixed- and Random-Effects Models Spyros Konstantopoulos and Larry V. Hedges 13. Stochastically Dependent Effect Sizes Larry V. Hedges 14. Bayesian Meta-Analysis Rebecca M. Turner and Julian P. T. Higgins 15. Correcting for the Distorting Effects of Study Artifacts in Meta-Analysis and Second Order Meta-Analysis Frank L. Schmidt, Huy Le, and In-Sue Oh 16. Model-Based Meta-Analysis and Related Approaches Betsy Jane Becker and Ariel M. Aloe PART VI DATA DIAGNOSTICS 17. Missing Data in Meta-Analysis Terri D. Pigott 18. Publication Bias Jack L. Vevea, Kathleen Coburn, and Alexander Sutton PART VII DATA INTERPRETATION 19. Interpreting Effect Sizes Jeffrey C. Valentine, Ariel M. Aloe, and Sandra Jo Wilson 20. Heterogeneity in Meta-Analysis Michael Borenstein PART VIII SUMMARY
The Handbook of Research Synthesis and Meta-Analysis draws upon groundbreaking advances that have transformed research synthesis from a narrative craft into an important scientific process in its own right. The editors and leading scholars guide the reader through every stage of the research synthesis process—problem formulation, literature search and evaluation, statistical integration, and report preparation. The Handbook incorporates state-of-the-art techniques from all quantitative synthesis traditions and distills a vast literature to explain the most effective solutions to the problems of quantitative data integration. Among the statistical issues addressed are the synthesis of non-independent data sets, fixed and random effects methods, the performance of sensitivity analyses and model assessments, the development of machine-based abstract screening, the increased use of meta-regression and the problems of missing data. The Handbook also addresses the non-statistical aspects of research synthesis, including searching the literature and developing schemes for gathering information from study reports. Those engaged in research synthesis will find useful advice on how tables, graphs, and narration can foster communication of the results of research syntheses.