Effect of Dichotomization on the Latent Structure of Data

Schweizer, Karl and Gold, Andreas and Krampen, Dorothea (2021) Effect of Dichotomization on the Latent Structure of Data. Frontiers in Applied Mathematics and Statistics, 7. ISSN 2297-4687

[thumbnail of pubmed-zip/versions/2/package-entries/fams-07-723258-r1/fams-07-723258.pdf] Text
pubmed-zip/versions/2/package-entries/fams-07-723258-r1/fams-07-723258.pdf - Published Version

Download (635kB)

Abstract

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.

Item Type: Article
Subjects: Journal Eprints > Mathematical Science
Depositing User: Managing Editor
Date Deposited: 02 Mar 2023 06:28
Last Modified: 11 Mar 2024 05:01
URI: http://repository.journal4submission.com/id/eprint/1007

Actions (login required)

View Item
View Item