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ISBN: 9781461422785
This book describes multivariate analyses for several indices commonly used in meta-analysis, outlines how to do power analysis for meta-analysis, and examines issues around research qual… mais…
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2012, ISBN: 9781461422785
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2002, ISBN: 9781461422785
The subject of the book is advanced statistical analyses for quantitative research synthesis (meta-analysis), and selected practical issues relating to research synthesis that are not cov… mais…
2002, ISBN: 9781461422785
The subject of the book is advanced statistical analyses for quantitative research synthesis (meta-analysis), and selected practical issues relating to research synthesis that are not cov… mais…
2002
ISBN: 9781461422785
The subject of the book is advanced statistical analyses for quantitative research synthesis (meta-analysis), and selected practical issues relating to research synthesis that are not cov… mais…
ISBN: 9781461422785
This book describes multivariate analyses for several indices commonly used in meta-analysis, outlines how to do power analysis for meta-analysis, and examines issues around research qual… mais…
2012, ISBN: 9781461422785
eBooks, eBook Download (PDF), 2012, [PU: Springer New York], Springer New York, 2012
Dados bibliográficos do melhor livro correspondente
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Dados detalhados do livro - Advances in Meta-Analysis
EAN (ISBN-13): 9781461422785
ISBN (ISBN-10): 1461422787
Ano de publicação: 2012
Editor/Editora: Springer New York
155 Páginas
Língua: eng/Englisch
Livro na base de dados desde 2012-12-26T22:39:34-02:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2024-03-13T05:26:26-03:00 (Sao Paulo)
Número ISBN/EAN: 9781461422785
Número ISBN - Ortografia alternativa:
1-4614-2278-7, 978-1-4614-2278-5
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: pigott, rinehart, moniuszko
Título do livro: meta
Dados da editora
Autor: Terri Pigott
Título: Statistics for Social and Behavioral Sciences; Advances in Meta-Analysis
Editora: Springer; Springer US
158 Páginas
Ano de publicação: 2012-02-01
New York; NY; US
Língua: Inglês
53,49 € (DE)
55,00 € (AT)
59,00 CHF (CH)
Available
XIV, 158 p.
EA; E107; eBook; Nonbooks, PBS / Soziologie/Methoden der empirischen und qualitativen Sozialforschung; Sozialforschung und -statistik; Verstehen; ANOVA Model; Complex Data; Meta-Analysis; Meta-Regression; Variance Component; B; Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy; Statistics; Mathematics and Statistics; Wahrscheinlichkeitsrechnung und Statistik; BB
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.
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.
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..
The book describes multivariate analyses for several indices commonly used in meta-analysis (e.g., correlations, effect sizes, proportions and/or odds ratios), outlines how to do power analysis for meta-analysis (again for each of the different kinds of study outcome indices), and examines issues around research quality and research design and their roles in synthesis.
Includes more than 50 illustrations and tables The book describes multivariate analyses for several indices commonly used in meta-analysis (e.g., correlations, effect sizes, proportions and/or odds ratios) It outlines how to do power analysis for meta-analysis for each of the different kinds of study outcome indices Features examination of issues around research quality and research design and their roles in synthesis;
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