Title Statements
- Full title :Meta-analysis : a structural equation modeling approach / Mike W.-L. Cheung.
Summary
Presents a novel approach to conducting meta-analysis using structural equation modeling. Structural equation modeling (SEM) and meta-analysis are two powerful statistical methods in the educational, social, behavioral, and medical sciences. They are often treated as two unrelated topics in the literature. This book presents a unified framework on analyzing meta-analytic data within the SEM framework, and illustrates how to conduct meta-analysis using the metaSEM package in the R statistical environment. Meta-Analysis: A Structural Equation Modeling Approach begins by introducing the impo.
Read More ↓Edition Statements
- Publication Date:2015
Publication Statements
- Publisher(s):John Wiley & Sons
- Place of Publication:Chichester, West Sussex, United Kingdom
- Language:eng
- Publication Date:2015
Notes
Titre de l'écran-titre (visionné le 14 déc. 2015).
TRAITEMENT SOMMAIRE.
The Physical Object
- Description:1 ressource en ligne (1 v.)
Edition Identifiers
- oclc:ocn933275448
- LC Classification:QA278.4
- Dewey Decimal:001.4/22
Table of Contents
Introduction -- Brief review of structural equation modeling -- Computing effect sizes for meta-analysis -- Univariate meta-analysis -- Multivariate meta-analysis -- Three-level meta-analysis -- Meta-analytic structural equation modeling -- Advanced topics in SEM-based meta-analysis -- Conducting meta-analysis with M plus -- Annexe A : A brief introduction to R, OpenMx, and metaSEM packages.
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