Rasch measurement model: A review of Bayesian estimation for estimating the person and item parameters

Rasch measurement model: A review of Bayesian estimation for estimating the person and item parameters

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This paper focuses on the methods used for estimating the parameters in Rasch Measurement Model (RMM). These include the MLE and Bayesian Estimation (BE) techniques. The accuracy and precision of the parameter estimates based on these two MLE and BE were discussed and compared. A questionnaire is a...

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Bibliographic Details
Main Authors: Binti Azizan, N.H (Author), Jaini N.I (Author), Jamil N.M (Author), Jonovich A.A.A (Author), Jusoh @ Awang R. (Author), Kasim A.R.M (Author), Mahmud, Z.B (Author), Rambli, A.B (Author), Zabidi S.F.A (Author)
Format: Article
Language:English
Published: Institute of Physics Publishing 2019
Subjects:
Accuracy and precision
Bayesian estimations
Bayesian networks
Estimation techniques
Learning algorithms
Maximum likelihood estimation
Mean square error
Mean squared error
Measurement instruments
Measurement model
Number of samples
Parameter estimate
Parameter estimation
Surveys
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