TY - JOUR
T1 - Item parameter estimation when a test contains different item response models
AU - Shojima, Kojiro
AU - Toyoda, Hideki
N1 - Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2004/3
Y1 - 2004/3
N2 - 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.
AB - 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.
KW - 3-parameter logistic model
KW - Continuous response model
KW - EM algorithm
KW - Graded response model
KW - Item response theory
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U2 - 10.5926/jjep1953.52.1_61
DO - 10.5926/jjep1953.52.1_61
M3 - Article
AN - SCOPUS:3042771218
SN - 0021-5015
VL - 52
SP - 61
EP - 70
JO - Japanese Journal of Educational Psychology
JF - Japanese Journal of Educational Psychology
IS - 1
ER -