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Effect of dichotomization on the latent structure of data

  • We investigated whether dichotomous data showed the same latent structure as the interval-level data from which they originated. Given constancy of dimensionality and factor loadings reflecting the latent structure of data, the focus was on the variance of the latent variable of a confirmatory factor model. This variance was shown to summarize the information provided by the factor loadings. The results of a simulation study did not reveal exact correspondence of the variances of the latent variables derived from interval-level and dichotomous data but shrinkage. Since shrinkage occurred systematically, methods for recovering the original variance were fleshed out and evaluated.

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Author:Karl Schweizer, Andreas GoldGND, Dorothea Krampen
URN:urn:nbn:de:hebis:30:3-633915
DOI:https://doi.org/10.3389/fams.2021.723258
ISSN:2297-4687
Parent Title (English):Frontiers in applied mathematics and statistics
Publisher:Frontiers Media
Place of publication:Lausanne
Document Type:Article
Language:English
Date of Publication (online):2021/10/14
Date of first Publication:2021/10/14
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2022/01/18
Tag:confirmatory factor analysis; dichotomization; dichotomous data; interval-level data; latent structure; shrinkage correction
Volume:7
Issue:art. 723258
Page Number:9
First Page:1
Last Page:9
HeBIS-PPN:491316232
Institutes:Psychologie und Sportwissenschaften
Dewey Decimal Classification:1 Philosophie und Psychologie / 15 Psychologie / 150 Psychologie
5 Naturwissenschaften und Mathematik / 51 Mathematik / 510 Mathematik
Sammlungen:Universitätspublikationen
Open-Access-Publikationsfonds:Psychologie und Sportwissenschaften
Licence (German):License LogoCreative Commons - Namensnennung 4.0