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Meta-Analytic Structural Equation Modelling / by Suzanne Jak
(SpringerBriefs in Research Synthesis and Meta-Analysis. ISSN:21930023)
版 | 1st ed. 2015. |
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出版者 | (Cham : Springer International Publishing : Imprint: Springer) |
出版年 | 2015 |
大きさ | VIII, 88 p. 5 illus. in color : online resource |
著者標目 | *Jak, Suzanne author SpringerLink (Online service) |
件 名 | LCSH:Statistics LCSH:Sociology—Methodology LCSH:Social sciences—Statistical methods FREE:Statistical Theory and Methods FREE:Sociological Methods FREE:Statistics in Business, Management, Economics, Finance, Insurance FREE:Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy |
一般注記 | Introduction -- Methods of MASEM -- Heterogeneity in MASEM -- Issues in MASEM -- Example: Fitting a path model with the two-stage approach -- Example: Fitting a factor model with the two-stage approach -- Conclusions This book explains how to employ MASEM, the combination of meta-analysis (MA) and structural equation modelling (SEM). It shows how by using MASEM, a single model can be tested to explain the relationships between a set of variables in several studies. This book gives an introduction to MASEM, with a focus on the state of the art approach: the two stage approach of Cheung and Cheung & Chan. Both, the fixed and the random approach to MASEM are illustrated with two applications to real data. All steps that have to be taken to perform the analyses are discussed extensively. All data and syntax files are available online, so that readers can imitate all analyses. By using SEM for meta-analysis, this book shows how to benefit from all available information from all available studies, even if few or none of the studies report about all relationships that feature in the full model of interest HTTP:URL=https://doi.org/10.1007/978-3-319-27174-3 |
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電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9783319271743 |
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電子リソース |
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EB00202246 |
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※2017年9月4日以降