Latent variables analysis in person-oriented research

In this article, we demonstrate that latent variable analysis can be of great use in person-oriented research. Starting with exploratory factor analysis of metric variables, we present an example of the problems that come with generalization of aggregate-level results to subpopulations. Oftentimes,...

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Main Authors: Alexander von Eye, Wolfgang Wiedermann, Stefan von Weber
Format: Article
Language:English
Published: Lund University Library 2023-06-01
Series:Journal for Person-Oriented Research
Subjects:
Online Access:https://journals.lub.lu.se/jpor/article/view/25258
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author Alexander von Eye
Wolfgang Wiedermann
Stefan von Weber
author_facet Alexander von Eye
Wolfgang Wiedermann
Stefan von Weber
author_sort Alexander von Eye
collection DOAJ
description In this article, we demonstrate that latent variable analysis can be of great use in person-oriented research. Starting with exploratory factor analysis of metric variables, we present an example of the problems that come with generalization of aggregate-level results to subpopulations. Oftentimes, results that are valid for populations do not represent subpopulations at all. This applies to confirmatory factor analysis as well. When variables are categorical, latent class analysis can be used to create latent variables that explain the covariation of observed variables. In an example, we demonstrate that latent class analysis can be applied to data from individuals, when the number of observation points is sufficiently large. In each case of latent variables analysis, the latent variables can be considered moderators of the structure of covariation among observed variables.
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spelling doaj.art-bd7012d0a79a43a18e16eda0d9ce3bd82023-06-17T15:53:14ZengLund University LibraryJournal for Person-Oriented Research2002-02442003-01772023-06-0191Latent variables analysis in person-oriented researchAlexander von Eye0Wolfgang Wiedermann1Stefan von Weber2Michigan State University, USAUniversity of Missouri, Columbia, USAFurtwangen University, Germany In this article, we demonstrate that latent variable analysis can be of great use in person-oriented research. Starting with exploratory factor analysis of metric variables, we present an example of the problems that come with generalization of aggregate-level results to subpopulations. Oftentimes, results that are valid for populations do not represent subpopulations at all. This applies to confirmatory factor analysis as well. When variables are categorical, latent class analysis can be used to create latent variables that explain the covariation of observed variables. In an example, we demonstrate that latent class analysis can be applied to data from individuals, when the number of observation points is sufficiently large. In each case of latent variables analysis, the latent variables can be considered moderators of the structure of covariation among observed variables. https://journals.lub.lu.se/jpor/article/view/25258Person-oriented research, exploratory factor analysis, confirmatory factor analysis, structural equation model, latent class analysis
spellingShingle Alexander von Eye
Wolfgang Wiedermann
Stefan von Weber
Latent variables analysis in person-oriented research
Journal for Person-Oriented Research
Person-oriented research, exploratory factor analysis, confirmatory factor analysis, structural equation model, latent class analysis
title Latent variables analysis in person-oriented research
title_full Latent variables analysis in person-oriented research
title_fullStr Latent variables analysis in person-oriented research
title_full_unstemmed Latent variables analysis in person-oriented research
title_short Latent variables analysis in person-oriented research
title_sort latent variables analysis in person oriented research
topic Person-oriented research, exploratory factor analysis, confirmatory factor analysis, structural equation model, latent class analysis
url https://journals.lub.lu.se/jpor/article/view/25258
work_keys_str_mv AT alexandervoneye latentvariablesanalysisinpersonorientedresearch
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AT stefanvonweber latentvariablesanalysisinpersonorientedresearch