Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Marginal maximum likelihood estimation of item response theory (IRT) equating coefficients for the common‐examinee design

Bibliographic Data

ID19277353
AuthorsHaruhiko Ogasawara (0000-0002-5029-2086, Otaru University of Commerce, corresponding author)
Year2001
Volume43
Issue2
Pages72-82
Publication date2001-03-01
Open AccessYes
TypeARTICLE
VenueJapanese Psychological Research (JOURNAL)
Journal identifiersISSN: 0021-5368 • E-ISSN: 1468-5884
PublisherWiley (PUBLISHER • GB)
DOI10.1111/1468-5884.00162
OpenAlexW2064371903
LanguageEN
References cited1

A method of estimating item response theory (IRT) equating coefficients by the common‐examinee design with the assumption of the two‐parameter logistic model is provided. The method uses the marginal maximum likelihood estimation, in which individual ability parameters in a common‐examinee group are numerically integrated out. The abilities of the common examinees are assumed to follow a normal distribution but with an unknown mean and standard deviation on one of the two tests to be equated. The distribution parameters are jointly estimated with the equating coefficients. Further, the asymptotic standard errors of the estimates of the equating coefficients and the parameters for the ability distribution are given. Numerical examples are provided to show the accuracy of the method

Distribution (mathematics) · Econometrics · Equating · Estimation · Item response theory · Mathematical analysis · Maximum likelihood · Psychometrics · Rasch model · Standard deviation · Standard error · Statistics · Advanced Statistical Methods and Models · Advanced Statistical Modeling Techniques · Mathematics · Multi-Criteria Decision Making

  • Marginal Maximum Likelihood Estimation of Item Parameters

    Open Access•R Darrell Bock, Murray Aitkin•Psychometrika•1981

Highly citedNo

Tools

Open DOISci-HubOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae