Pigott Advances in Meta-Analysis

1. Auflage 2012
ISBN: 978-1-4614-2278-5
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 158 Seiten

Reihe: Mathematics and Statistics

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.

Zielgruppe

Research

Autoren/Hrsg.

Pigott, Terri

Inhaltsverzeichnis

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.

Über Autor(innen)

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.