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Meta-analysis: a structural equation modeling approach
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 l...
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| Lenguaje: | eng |
| Publicado: |
Wiley
2015
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| Acceso en línea: | http://cds.cern.ch/record/2019301 |
| _version_ | 1780946801166123008 |
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| author | Cheung, Mike W-L |
| author_facet | Cheung, Mike W-L |
| author_sort | Cheung, Mike W-L |
| collection | CERN |
| description | 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 |
| id | cern-2019301 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2015 |
| publisher | Wiley |
| record_format | invenio |
| spelling | cern-20193012021-04-21T20:18:10Zhttp://cds.cern.ch/record/2019301engCheung, Mike W-LMeta-analysis: a structural equation modeling approachMathematical Physics and Mathematics 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 impoWileyoai:cds.cern.ch:20193012015 |
| spellingShingle | Mathematical Physics and Mathematics Cheung, Mike W-L Meta-analysis: a structural equation modeling approach |
| title | Meta-analysis: a structural equation modeling approach |
| title_full | Meta-analysis: a structural equation modeling approach |
| title_fullStr | Meta-analysis: a structural equation modeling approach |
| title_full_unstemmed | Meta-analysis: a structural equation modeling approach |
| title_short | Meta-analysis: a structural equation modeling approach |
| title_sort | meta-analysis: a structural equation modeling approach |
| topic | Mathematical Physics and Mathematics |
| url | http://cds.cern.ch/record/2019301 |
| work_keys_str_mv | AT cheungmikewl metaanalysisastructuralequationmodelingapproach |