ArticleJournal for person-oriented research2023
Latent Variables Analysis in Person-Oriented Research.
Article in Journal for person-oriented research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Heat-related symptom profiles among construction workers: a latent class analysis of behavioral and workplace factors.Journal of occupational health · 2026Article
- When our measurements are different every day: an ML-SEM simulation study on within-person nonuniform measurement bias in intensive longitudinal data.Frontiers in psychology · 2026Article
- Cross-Analysis of mHealth Social Acceptance Among Youth: A Comparative Study Between Japan and China.Behavioral sciences (Basel, Switzerland) · 2025Article
- The Individual as Moderator of Variable Relations - A Configural Approach.Journal for person-oriented research · 2024Article
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Authors and funding
3 authors.
Funding
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Abstract
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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Registered trials
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