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|a 9781461422785
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| 100 |
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|a Pigott, Terri
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| 245 |
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|a Advances in Meta-Analysis
|h Elektronische Ressource
|c by Terri Pigott
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| 250 |
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|a 1st ed. 2012
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| 260 |
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|a New York, NY
|b Springer New York
|c 2012, 2012
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| 300 |
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|a XIV, 158 p
|b online resource
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| 505 |
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|a 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
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| 653 |
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|a Statistics
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| 653 |
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|a Social sciences / Statistical methods
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| 653 |
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|a Statistics
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| 653 |
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|a Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
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| 041 |
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|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
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|a Statistics for Social and Behavioral Sciences
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| 028 |
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|a 10.1007/978-1-4614-2278-5
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| 856 |
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|u https://doi.org/10.1007/978-1-4614-2278-5?nosfx=y
|x Verlag
|3 Volltext
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|a 300,727
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| 520 |
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|a 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
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