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＜電子ブック＞
Advances in Meta-Analysis / by Terri Pigott
(Statistics for Social and Behavioral Sciences. ISSN:21997365)

版	1st ed. 2012.
出版者	(New York, NY : Springer New York : Imprint: Springer)
出版年	2012
本文言語	英語
大きさ	XIV, 158 p : online resource
著者標目	*Pigott, Terri author SpringerLink (Online service)
件　名	LCSH:Social sciences -- Statistical methods  全ての件名で検索 LCSH:Statistics  FREE:Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy FREE:Statistics
一般注記	Rationale and overview of the book -- Complexities of primary research and meta-analysis -- Fixed, random, and mixed models -- Correlations -- Effect sizes -- Proportion/odds ratio data -- Dependence in primary research and meta-analysis -- Correlations --  Effect sizes (group comparisons and change measures) -- Proportion/odds ratio data -- Bayesian approaches -- Missing data --  Combining across designs -- Qualitative studies in synthesis -- Quality assessments -- Studies on quality weighting -- Summary/Conclusions Meta-analysis is used increasingly in the social sciences to synthesize research results.  As both primary research and the questions addressed by meta-analysis have been grown more complex, meta-analysis techniques have evolved to address these issues.  This book covers a number of advances in meta-analysis that are not covered in detail in many introductory books on research synthesis.  More specifically, this book discusses the planning of a meta-analysis for complex questions, computing power for tests in meta-analysis, handling missing data in meta-analysis, integrating individual data into a traditional meta-analysis and generalizing from the results of a meta-analysis.  For each topic, a fully annotated example is provided with sample computer programs for the major statistical packages.  This book assumes a familiarity with basic meta-analytic techniques.  The goal of the book is to provide researchers with advanced strategies for strengthening the planning, conduct and interpretations of meta-analysis with complex data. Terri D. Pigott is a Professor of Research Methodology in Loyola University Chicago’s School of Education.  Her research interests are in developing new methods for meta-analysis, and the use of meta-analysis in public policy HTTP:URL=https://doi.org/10.1007/978-1-4614-2278-5

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