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fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title>Meta-Analysis : A Structural Equation Modeling Approach</title><creator>Mike W. -L. Cheung</creator><publisher>John Wiley &amp; Sons, Ltd</publisher><date>2015</date><hasVersion/><language>English</language><medium>Computer File</medium><type>Other:Computer File</type><extent>xxi, 369 hlm</extent><description>There were two primary goals for this book. The first one was to present the recent&#xD; methodological advances on integrating meta-analysis and SEM&#x2014;the SEM-based&#xD; meta-analysis (using SEM to conducting meta-analysis) and meta-analytic struc-&#xD; tural equation modeling (conducting meta-analysis on correlation matrices for the&#xD; purpose of fitting structural equation models on the pooled correlation matrix). It is&#xD; my hope that a unified framework will be made available to researchers conducting&#xD; both primary data analysis and meta-analysis. A single framework can easily trans-&#xD; late advances from one field to the other fields. Researchers do not need to reinvent&#xD; the wheels again.</description><abstract>There were two primary goals for this book. The first one was to present the recent&#xD; methodological advances on integrating meta-analysis and SEM&#x2014;the SEM-based&#xD; meta-analysis (using SEM to conducting meta-analysis) and meta-analytic struc-&#xD; tural equation modeling (conducting meta-analysis on correlation matrices for the&#xD; purpose of fitting structural equation models on the pooled correlation matrix). It is&#xD; my hope that a unified framework will be made available to researchers conducting&#xD; both primary data analysis and meta-analysis. A single framework can easily trans-&#xD; late advances from one field to the other fields. Researchers do not need to reinvent&#xD; the wheels again.</abstract><subject>Structural equation modeling</subject><subject>meta-analysis</subject><subject>519.5</subject><identifier>http://digilib.ubl.ac.id:80/index.php?p=show_detail&amp;id=16026</identifier><identifier>9781119993438</identifier><identifier>EB 519.5 MIK m</identifier><hasPart>e000157</hasPart><relation>http://digilib.ubl.ac.id:80/images/docs/Mike_W.-L._Cheung_-_Meta-Analysis__A_Structural_Equation_Modeling_Approach_%282015%2C_Wiley%29.jpg.jpg</relation><recordID>ai:slims-16026</recordID></dc>
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author Mike W. -L. Cheung
title Meta-Analysis : A Structural Equation Modeling Approach
title_sub A Structural Equation Modeling Approach
publisher John Wiley & Sons, Ltd
publishDate 2015
isbn 9781119993438
topic Structural equation modeling
meta-analysis
519.5
url http://digilib.ubl.ac.id:80/index.php?p=show_detail&id=16026
http://digilib.ubl.ac.id:80/images/docs/Mike_W.-L._Cheung_-_Meta-Analysis__A_Structural_Equation_Modeling_Approach_%282015%2C_Wiley%29.jpg.jpg
contents There were two primary goals for this book. The first one was to present the recent methodological advances on integrating meta-analysis and SEM—the SEM-based meta-analysis (using SEM to conducting meta-analysis) and meta-analytic struc- tural equation modeling (conducting meta-analysis on correlation matrices for the purpose of fitting structural equation models on the pooled correlation matrix). It is my hope that a unified framework will be made available to researchers conducting both primary data analysis and meta-analysis. A single framework can easily trans- late advances from one field to the other fields. Researchers do not need to reinvent the wheels again.
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subject_area Generalities(Karya Umum)
General Publications/Terbitan Berseri, Berkala Umum Ilmu Komputer dan Teknik Informatika
Computer Science Education/Pendidikan Ilmu Komputer, Pendidikan Teknik Informatika
Law/Ilmu Hukum
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