
Asymptotic Standard Errors of Generalized Partial Credit Model True Score Equating Using Characteristic Curve Methods
Author(s) -
Zhonghua Zhang
Publication year - 2021
Publication title -
applied psychological measurement
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.083
H-Index - 64
eISSN - 1552-3497
pISSN - 0146-6216
DOI - 10.1177/01466216211013101
Subject(s) - equating , mathematics , statistics , standard error , imputation (statistics) , context (archaeology) , econometrics , missing data , paleontology , rasch model , biology
In this study, the delta method was applied to estimate the standard errors of the true score equating when using the characteristic curve methods with the generalized partial credit model in test equating under the context of the common-item nonequivalent groups equating design. Simulation studies were further conducted to compare the performance of the delta method with that of the bootstrap method and the multiple imputation method. The results indicated that the standard errors produced by the delta method were very close to the criterion empirical standard errors as well as those yielded by the bootstrap method and the multiple imputation method under all the manipulated conditions.