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Tytuł:
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A Latent Variable Mixed-Effects Location Scale Model with an Application to Daily Diary Data.
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Autorzy:
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Blozis SA; Department of Psychology, University of California, One Shields Avenue, Davis , CA 95616, USA. .
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Źródło:
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Psychometrika [Psychometrika] 2022 Dec; Vol. 87 (4), pp. 1548-1570. Date of Electronic Publication: 2022 May 03.
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Typ publikacji:
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Journal Article
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Język:
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English
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Imprint Name(s):
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Original Publication: Research Triangle Park, VA : Psychometric Society
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MeSH Terms:
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Models, Statistical*
Research Design*
Adult ; Humans ; Female ; Psychometrics
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References:
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Contributed Indexing:
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Keywords: intraindividual variation; latent state trait theory; positive affect; second-order latent variable model
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Entry Date(s):
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Date Created: 20220503 Date Completed: 20221108 Latest Revision: 20221222
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Update Code:
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20240104
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PubMed Central ID:
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PMC9636112
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DOI:
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10.1007/s11336-022-09864-8
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PMID:
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35505127
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A mixed-effects location scale model allows researchers to study within- and between-person variation in repeated measures. Key components of the model include separate variance models to study predictors of the within-person variance, as well as predictors of the between-person variance of a random effect, such as a random intercept. In this paper, a latent variable mixed-effects location scale model is developed that combines a longitudinal common factor model and a mixed-effects location scale model to characterize within- and between-person variation in a common factor. The model is illustrated using daily reports of positive affect and daily stressors for a large sample of adult women.
(© 2022. The Author(s).)