{"product_id":"meta-analysis","title":"Meta-Analysis","description":"\u003cp\u003e\u003cb\u003ePresents a novel approach to conducting meta-analysis using structural equation modeling.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eStructural 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.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eMeta-Analysis: A Structural Equation Modeling Approach\u003c\/i\u003e 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.  Examples in R and in Mplus are included. \u003c\/p\u003e \u003cp\u003eThis book will be a valuable resource for statistical and academic researchers and graduate students carrying out meta-analyses, and will also be useful to researchers and statisticians using SEM in biostatistics. Basic knowledge of either SEM or meta-analysis will be helpful in understanding the materials in this book.\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":54240934658392,"sku":"9781119993438","price":62.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9781119993438.jpg?v=1778578262","url":"https:\/\/agendabookshop.com\/products\/meta-analysis","provider":"Agenda Bookshop","version":"1.0","type":"link"}