A Note on the Conversion of Item Parameters Standard Errors.

Item response theory factor analysis standard error

Journal

Multivariate behavioral research
ISSN: 1532-7906
Titre abrégé: Multivariate Behav Res
Pays: United States
ID NLM: 0046052

Informations de publication

Date de publication:
Historique:
pubmed: 24 12 2018
medline: 24 12 2019
entrez: 22 12 2018
Statut: ppublish

Résumé

The relations among alternative parameterizations of the binary factor analysis (FA) model and two-parameter logistic (2PL) item response theory (IRT) model have been thoroughly discussed in literature. However, the conversion formulas widely available are mainly for transforming parameter estimates from one parameterization to another. There is a lack of discussion about the standard error (SE) conversion among different parameterizations, when SEs of IRT model parameters are often of immediate interest to practitioners. This article provides general formulas for computing the SEs of transformed parameter values, when these parameters are transformed from FA to IRT models. These formulas are suitable for unidimensional 2PL, multidimensional 2PL, and bi-factor 2PL models. A simulation study is conducted to verify the formula by providing empirical evidence. A real data example is given in the end for an illustration.

Identifiants

pubmed: 30574796
doi: 10.1080/00273171.2018.1513829
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

307-321

Auteurs

Chun Wang (C)

a University of Washington , USA.

Xue Zhang (X)

b Key Laboratory for Applied Statistics (KLAS), School of Mathematics and Statistics , Northeast Normal University , USA.

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Classifications MeSH