Meta-analysis : a structural equation modeling approach / Mike W.L. Cheung

By:

Cheung, Mike W. L

Contributor(s):

Ohio Library and Information Network

Material type: Text

TextPublisher: Chichester, West Sussex : John Wiley & Sons, Inc., 2015Description: 1 online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

1118957814
1118957822 (ePub)
1118957830 (PDF)
9781118957813
9781118957820 (ePub)
9781118957837 (PDF)

Subject(s):

Genre/Form:

Additional physical formats: Print version:: Meta-analysisLOC classification:

QA278.4

Online resources:

Summary: 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

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Holdings
Item type	Current library	Home library	Collection	Call number	Status	Date due	Barcode
E-Book	Merkez Kütüphane	Merkez Kütüphane	E-Kitap Koleksiyonu		Geçerli değil-e-Kitap / Not applicable-e-Book		EBK03699

Available to OhioLINK libraries

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

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