Advances in meta-analysis / Terri D. Pigott
(Statistics for social and behavioral sciences)
データ種別 | 電子書籍 |
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出版者 | New York : Springer |
出版年 | c2012 |
書誌詳細を非表示
書誌ID | OB01023110 |
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本文言語 | 英語 |
一般注記 | Includes bibliographical references Review of effect sizes -- Planning a meta-analysis in systematic review -- Power analysis for the mean effect size -- Power for the test of homogeneity in fixed and random effects models -- Power analysis for categorical moderator models of effect size -- Missing data in meta-analysis : strategies and approaches -- Including individual participant data in meta-analysis -- Generalizations for meta-analysis -- Recommendations for producing a high quality meta-analysis -- Data appendix. License restrictions may limit access Summary: 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 |
著者標目 | *Pigott, Terri D. 1961- |
件 名 | LCSH:Meta-analysis |
分 類 | LCC:R853.M48 DC23:610.28 |
巻冊次 | alk. paper ; ISBN:9781461422778 RefWorks出力(各巻) alk. paper ; ISBN:1461422779 RefWorks出力(各巻) |
資料種別 | 機械可読データファイル |
所蔵情報へのリンク | Advances in meta-analysis / Terri D. Pigott |
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※2020年8月16日以降