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Estimating Local Structural Equation Models
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 mode...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10532278/ https://www.ncbi.nlm.nih.gov/pubmed/37754904 http://dx.doi.org/10.3390/jintelligence11090175 |
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author | Robitzsch, Alexander |
author_facet | Robitzsch, Alexander |
author_sort | Robitzsch, Alexander |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10532278 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-105322782023-09-28 Estimating Local Structural Equation Models Robitzsch, Alexander J Intell Article 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. MDPI 2023-09-01 /pmc/articles/PMC10532278/ /pubmed/37754904 http://dx.doi.org/10.3390/jintelligence11090175 Text en © 2023 by the author. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Robitzsch, Alexander Estimating Local Structural Equation Models |
title | Estimating Local Structural Equation Models |
title_full | Estimating Local Structural Equation Models |
title_fullStr | Estimating Local Structural Equation Models |
title_full_unstemmed | Estimating Local Structural Equation Models |
title_short | Estimating Local Structural Equation Models |
title_sort | estimating local structural equation models |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10532278/ https://www.ncbi.nlm.nih.gov/pubmed/37754904 http://dx.doi.org/10.3390/jintelligence11090175 |
work_keys_str_mv | AT robitzschalexander estimatinglocalstructuralequationmodels |