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Displaying Latent Classes in Figures: Consideration of Practices
Örebro University, School of Behavioural, Social and Legal Sciences.ORCID iD: 0000-0003-1054-9462
2023 (English)In: The Quantitative Methods for Psychology, E-ISSN 2292-1354, Vol. 19, no 2, p. 165-172Article in journal (Refereed) Published
Abstract [en]

While latent class analysis (LCA) has gained popularity in social sciences, including psychology, the visualization of latent classes has been the subject of limited discussions. This article reviews the elements of LCA figures, covering issues such as graph type, axis labels, and subgroup naming. Bar charts and line graphs have been identified as two major visualization approaches in LCA studies. It is concluded that LCA figures serve as an important visual vehicle to display subgroup characteristics. However, the elements of LCA figures need careful consideration as they could furnish the text with additional information. A checklist is summarized for LCA figure preparation.

Place, publisher, year, edition, pages
Universite de Montreal , 2023. Vol. 19, no 2, p. 165-172
Keywords [en]
visualization, latent class analysis, subgroup
National Category
Probability Theory and Statistics Other Computer and Information Science
Research subject
Statistics
Identifiers
URN: urn:nbn:se:oru:diva-106543DOI: 10.20982/tqmp.19.2.p165ISI: 001023201100005OAI: oai:DiVA.org:oru-106543DiVA, id: diva2:1774162
Available from: 2023-06-25 Created: 2023-06-25 Last updated: 2023-08-21Bibliographically approved

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Zhao, Xiang

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