Biomaterial Database

Meta-analytic structural equation modeling with moderating effects on SEM parameters. 2020

Suzanne Jak, and Mike W-L Cheung

University of Amsterdam.

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 coefficients and factor loadings) can be modeled by the moderator variable, while the method does not require complete data for the primary studies included in the meta-analysis. We illustrate the new method on two real data sets, evaluate its empirical performance via a computer simulation study, and provide user-friendly R-functions and annotated syntax to assist researchers in applying one-stage MASEM. We close the article by presenting several future research directions. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

UI	MeSH Term	Description	Entries
D011584	Psychology	The science dealing with the study of mental processes and behavior in man and animals.	Factors, Psychological,Psychological Factors,Psychological Side Effects,Psychologists,Psychosocial Factors,Side Effects, Psychological,Factor, Psychological,Factor, Psychosocial,Factors, Psychosocial,Psychological Factor,Psychological Side Effect,Psychologist,Psychosocial Factor,Side Effect, Psychological
D003198	Computer Simulation	Computer-based representation of physical systems and phenomena such as chemical processes.	Computational Modeling,Computational Modelling,Computer Models,In silico Modeling,In silico Models,In silico Simulation,Models, Computer,Computerized Models,Computer Model,Computer Simulations,Computerized Model,In silico Model,Model, Computer,Model, Computerized,Model, In silico,Modeling, Computational,Modeling, In silico,Modelling, Computational,Simulation, Computer,Simulation, In silico,Simulations, Computer
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000077272	Latent Class Analysis	A statistical algorithm used to analyze clusters of observed variables by constructing categorical unobserved or latent segment based on weighted analysis and the average probabilities. Such latent classes are used to infer variables whose relationships are not directly observed. In biomedical research, it is often used to categorize data that allows the determination of symptom clusters.	Latent Class Model,Latent Variable Modeling,Probabilistic Latent Semantic Analysis,Structural Equation Modeling,Latent Class Analyses,Latent Class Models,Latent Variable Modelings,Model, Latent Class,Modeling, Latent Variable,Modeling, Structural Equation,Structural Equation Modelings,Variable Modeling, Latent
D015201	Meta-Analysis as Topic	A quantitative method of combining the results of independent studies (usually drawn from the published literature) and synthesizing summaries and conclusions which may be used to evaluate therapeutic effectiveness, plan new studies, etc., with application chiefly in the areas of research and medicine.	Clinical Trial Overviews,Data Pooling,Overviews, Clinical Trial,Clinical Trial Overview,Data Poolings,Meta Analysis as Topic,Overview, Clinical Trial
D015233	Models, Statistical	Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.	Probabilistic Models,Statistical Models,Two-Parameter Models,Model, Statistical,Models, Binomial,Models, Polynomial,Statistical Model,Binomial Model,Binomial Models,Model, Binomial,Model, Polynomial,Model, Probabilistic,Model, Two-Parameter,Models, Probabilistic,Models, Two-Parameter,Polynomial Model,Polynomial Models,Probabilistic Model,Two Parameter Models,Two-Parameter Model