Meta-analytic structural equation modeling (MASEM) is an increasingly popular meta-analytic technique that combines the strengths of meta-analysis and structural equation modeling. MASEM facilitates the evaluation of complete theoretical models (e.g., path models or factor analytic models), accounts for sampling covariance between effect sizes, and provides measures of overall fit of the hypothesized model on meta-analytic data. We propose a novel MASEM method, one-stage MASEM, which is better suitable to explain study-level heterogeneity than existing methods. One-stage MASEM allows researchers to incorporate continuous or categorical moderators into the MASEM, in which any parameter in the structural equation model (e.g., path coefficient...
Missing correlations often happen in the primary correlation matrices and create major problems for ...
[[abstract]]The Theory Testing of Combing Meta-Analysis and Structure Equation Modeling. For Example...
Structural equation modeling (SEM) is a tool for analyzing multivariate data that has been long know...
This book explains how to employ MASEM, the combination of meta-analysis (MA) and structural equatio...
Meta-analytic structural equation modeling (MASEM) refers to a set of meta-analysis techniques for c...
Meta-analytic structural equation modeling (MASEM) is a relatively new method in which effect sizes ...
Meta-analysis and structural equation modeling (SEM) are two important statistical methods in the be...
In this article, we demonstrate how to fit fixed- and random-effects meta-analysis, meta-regression,...
Meta-analytic structural equation modeling (MASEM) consists of pooling correlation matrices across p...
Meta-analytic structural equation modeling (MASEM) involves fitting models to a common population co...
Presents a novel approach to conducting meta-analysis using structural equation modeling. Structur...
Abstract Background In the first stage of meta-analytic structural equation modeling (MASEM), resear...
<p>Meta-analytic structural equation modeling (MASEM) is increasingly applied to advance theories by...
This paper compares substantive conclusions of structural equation models based on meta-analytically...
Meta-analytic structural equation modeling (MASEM) is a statistical technique to fit hypothesized mo...
Missing correlations often happen in the primary correlation matrices and create major problems for ...
[[abstract]]The Theory Testing of Combing Meta-Analysis and Structure Equation Modeling. For Example...
Structural equation modeling (SEM) is a tool for analyzing multivariate data that has been long know...
This book explains how to employ MASEM, the combination of meta-analysis (MA) and structural equatio...
Meta-analytic structural equation modeling (MASEM) refers to a set of meta-analysis techniques for c...
Meta-analytic structural equation modeling (MASEM) is a relatively new method in which effect sizes ...
Meta-analysis and structural equation modeling (SEM) are two important statistical methods in the be...
In this article, we demonstrate how to fit fixed- and random-effects meta-analysis, meta-regression,...
Meta-analytic structural equation modeling (MASEM) consists of pooling correlation matrices across p...
Meta-analytic structural equation modeling (MASEM) involves fitting models to a common population co...
Presents a novel approach to conducting meta-analysis using structural equation modeling. Structur...
Abstract Background In the first stage of meta-analytic structural equation modeling (MASEM), resear...
<p>Meta-analytic structural equation modeling (MASEM) is increasingly applied to advance theories by...
This paper compares substantive conclusions of structural equation models based on meta-analytically...
Meta-analytic structural equation modeling (MASEM) is a statistical technique to fit hypothesized mo...
Missing correlations often happen in the primary correlation matrices and create major problems for ...
[[abstract]]The Theory Testing of Combing Meta-Analysis and Structure Equation Modeling. For Example...
Structural equation modeling (SEM) is a tool for analyzing multivariate data that has been long know...