EMS algorithm for latent variable selection in MIRT model with item nonresponse
Consider the problem of latent variable selection in the case of item unresponsiveness in educational assessments and psychological tests.An item response theory(IRT)model is established for the missing data process,and the expected model selection(EMS)algorithm is used to select the latent variables.The simulation results show that the results of the parameter estimation and latent variable selection of this method are accurate.It was used to analyze data from the 2018 Programme for International Student Assessment(PISA)survey of students.
NETL
NSTL
万方数据
维普
