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Estimating Local Structural Equation Models.

Authors :
Robitzsch, Alexander
Source :
Journal of Intelligence. Sep2023, Vol. 11 Issue 9, p175. 34p.
Publication Year :
2023

Abstract

Local structural equation models (LSEM) are structural equation models that study model parameters as a function of a moderator. This article reviews and extends LSEM estimation methods and discusses the implementation in the R package sirt. In previous studies, LSEM was fitted as a sequence of models separately evaluated as each value of the moderator variables. In this article, a joint estimation approach is proposed that is a simultaneous estimation method across all moderator values and also allows some model parameters to be invariant with respect to the moderator. Moreover, sufficient details on the main estimation functions in the R package sirt are provided. The practical implementation of LSEM is demonstrated using illustrative datasets and an empirical example. Moreover, two simulation studies investigate the statistical properties of parameter estimation and significance testing in LSEM. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20793200
Volume :
11
Issue :
9
Database :
Academic Search Index
Journal :
Journal of Intelligence
Publication Type :
Academic Journal
Accession number :
172412358
Full Text :
https://doi.org/10.3390/jintelligence11090175