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Meta-Analysis : A Structural Equation Modeling Approach by Mike W. ‐L. Cheung is a nonfiction available to read on EtoBox.
What is Meta-Analysis : A Structural Equation Modeling Approach about?
**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 importance of SEM and meta-analysis in answering research questions. Key ideas in meta-analysis and SEM are briefly reviewed, and various meta-analytic models are then introduced and linked to the SEM framework. Fixed-, random-, and mixed-effects models in univariate and multivariate meta-analyses, three-level meta-analysis, and meta-analytic structural equation modeling, are introduced. Advanced topics, such as using restricted maximum likelihood estimation method and handling missing covariates, are also covered. Readers will learn a single framework to apply both meta-analysis and SEM. Exa
Who reads Meta-Analysis : A Structural Equation Modeling Approach?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Mike W. ‐L. Cheung
- Publisher
- Wiley & Sons, Limited, John
- Published
- 2015
- Language
- EN
- ISBN
- 9781118957813
- Category
- nonfiction
- Subjects
- Mathematics, Computer Science, Stem
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