Estimating local structural equation models

Artikel in FachzeitschriftForschungbegutachtet

Publikationsdaten


VonAlexander Robitzsch
OriginalspracheEnglisch
Erschienen inJournal of Intelligence, 11(9), Artikel 175
Herausgeber (Verlag)MDPI
ISSN2079-3200
DOI/Linkhttps://doi.org/10.3390/jintelligence11090175 (Open Access)
PublikationsstatusVeröffentlicht – 09.2023

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.