Literature DB >> 30574796

A Note on the Conversion of Item Parameters Standard Errors.

Chun Wang1, Xue Zhang2.   

Abstract

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.

Keywords:  Item response theory; factor analysis; standard error

Year:  2018        PMID: 30574796     DOI: 10.1080/00273171.2018.1513829

Source DB:  PubMed          Journal:  Multivariate Behav Res        ISSN: 0027-3171            Impact factor:   5.923


  1 in total

1.  Bayesian Analysis of a Quantile Multilevel Item Response Theory Model.

Authors:  Hongyue Zhu; Wei Gao; Xue Zhang
Journal:  Front Psychol       Date:  2021-01-08
  1 in total

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