ArticleJournal of Intelligence2023
Estimating Local Structural Equation Models.
Article in Journal of Intelligence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Modelling nonlinear moderation effects with local structural equation modelling (LSEM): A non-technical introduction.International journal of psychology : Journal international de psychologie · 2025Article
- How Cognitive Ability Shapes Personality Differentiation in Real Job Candidates: Insights from a Large-Scale Study.Journal of Intelligence · 2024Article
- Measurement Invariance of the Multidimensional Jealousy Scale and Quality of Relationships Inventory (Friend).Behavioral sciences (Basel, Switzerland) · 2024Article
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1 author.
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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.
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