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

Format:

Book

Author/Creator:

Cheung, Mike W. L., author.

Language:

English

Subjects (All):

Statistics.

Meta-analysis.

Research--Statistical methods.

Research.

Sampling (Statistics).

Physical Description:

1 online resource (403 p.)

Edition:

1st edition

Place of Publication:

Chichester, England ; West Sussex, England : Wiley, 2015.

Language Note:

English

System Details:

text file

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

Contents:

""Cover ""; ""Title Page ""; ""Copyright ""; ""Contents ""; ""Preface ""; ""Acknowledgments ""; ""List of abbreviations ""; ""List of figures ""; ""List of tables ""; ""Chapter 1 Introduction ""; ""1.1 What is meta-analysis? ""; ""1.2 What is structural equation modeling? ""

""1.3 Reasons for writing a book on meta-analysis and structural equation modeling """"1.3.1 Benefits to users of structural equation modeling and meta-analysis ""; ""1.4 Outline of the following chapters ""; ""1.4.1 Computer examples and data sets used in this book ""

""1.5 Concluding remarks and further readings """"References ""; ""Chapter 2 Brief review of structural equation modeling ""; ""2.1 Introduction ""; ""2.2 Model specification ""; ""2.2.1 Equations ""; ""2.2.2 Path diagram ""; ""2.2.3 Matrix representation ""; ""2.3 Common structural equation models ""

""2.3.1 Path analysis """"2.3.2 Confirmatory factor analysis ""; ""2.3.3 Structural equation model ""; ""2.3.4 Latent growth model ""; ""2.3.5 Multiple-group analysis ""; ""2.4 Estimation methods, test statistics, and goodness-of-fit indices ""; ""2.4.1 Maximum likelihood estimation ""

""2.4.2 Weighted least squares """"2.4.3 Multiple-group analysis ""; ""2.4.4 Likelihood ratio test and Wald test ""; ""2.4.5 Confidence intervals on parameter estimates ""; ""2.4.6 Test statistics versus goodness-of-fit indices ""; ""2.5 Extensions on structural equation modeling ""

""2.5.1 Phantom variables ""

Notes:

Description based upon print version of record.

Includes bibliographical references at the end of each chapters and index.

Description based on print version record.

ISBN:

9781118957820

1118957822

9781118957837

1118957830

OCLC:

904194680