Item parameter estimation when a test contains different item response models

Kojiro Shojima; Hideki Toyoda

doi:10.5926/jjep1953.52.1_61

Item parameter estimation when a test contains different item response models

Kojiro Shojima, Hideki Toyoda

School of Humanities and Social Sciences

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

In Japan, tests typically consist of true-false questions. testlets, and essay questions. A dichotomous response model is most suitable for true-false questions ; a graded response model (GRM) or a generalized partial credit model (GPCM), for testlets; and a continuous response model (CRM). for essay questions. When tests contain more than one type of question, these differences make it necessary to use the applicable item response model in order to estimate item parameters. In the present research, we propose an estimation method for such tests, and use actual data to show how it is a applied. The discussion describes practical applications of this method.

Original language	English
Pages (from-to)	61-70
Number of pages	10
Journal	Japanese Journal of Educational Psychology
Volume	52
Issue number	1
DOIs	https://doi.org/10.5926/jjep1953.52.1_61
Publication status	Published - 2004 Mar

Keywords

3-parameter logistic model
Continuous response model
EM algorithm
Graded response model
Item response theory

ASJC Scopus subject areas

Education
Developmental and Educational Psychology

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10.5926/jjep1953.52.1_61

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Item parameter estimation when a test contains different item response models

Abstract

Keywords

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