Handling dependent samples in meta-analytic structural equation models: A Wishart-based approach.

Autor:	Uanhoro, James Ohisei
Předmět:	STRUCTURAL equation modeling WISHART matrices COVARIANCE matrices PROBLEM solving
Zdroj:	Behavior Research Methods; Sep2024, Vol. 56 Issue 6, p6101-6118, 18p
Abstrakt:	We present an approach to meta-analytic structural equation models that relies on hierarchical modeling of sample covariance matrices under the assumption that the matrices are Wishart. The approach handles the commonplace fixed- and random-effects meta-analytic SEMs, and solves the problem of dependent covariance matrices where more than one covariance matrix is obtained from a single study or study author. The ability of the approach to adequately recover parameters is examined via a simulation study. The approach is implemented in the bayesianmasem R package and a demonstration shows applications of the model. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
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