Wulansari, Andhita Dessy (2016) The Estimation Stability of Logistics Model Parameters Under Different Scenarios. [Seminar and Workshop] (Unpublished)

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Abstract
This research identifies how the contribution of IRT model, sample size N and number of item/test length n to the stability estimation of item parameter and examinee parameter ϴ. The data used in this study is generated by WINGEN, and the parameter estimation uses BILOGMG. The trend pattern is observed based on the coefficiency correlation between the actual parameter and the estimated parameter. The findings of this research are: (1) the greater the N, the stabler the item parameter; (2) the more n, the stabler the estimation of examinee parameter Ɵ; (3) oneparameter logistic model is the stablest model in estimating item b parameter, twoparameter logistic model is the stablest model in estimating parameter item a and threeparameter logistic model is the stablest model in estimating item parameter c, whereas twoparameter logistic model is the stablest model in estimating examinee parameter (4) the stability of the item parameter is more affected by the sample size N than the number of item/test length n, while the stability of examinee parameter Ɵ is more influenced by the number of item/test length n than sample size N; (5) In oneparameter logistic model, twoparameter logistic model, and threeparameter logistic model, the stability of item parameter is more influenced by sample size N than the number of item/test length n while the stability of examinee parameter Ɵ is more influenced by the number of item/test length n than sample size N, where oneparameter logistic model is the best model in estimating item parameter and twoparameter logistic model is the best model in estimating examinee parameter, and threeparameter logistic model is the most unstable model in estimating both item and examinee parameter.
Item Type:  Seminar and Workshop 

Keyword:  IRT model, sample size, test length, item parameter, examinee parameter 
Subjects:  01 MATHEMATICAL SCIENCES > 0104 Statistics > 010401 Applied Statistics 
Divisions:  Fakultas Ilmu Tarbiyah dan Keguruan > Jurusan Pendidikan Agama Islam 
Depositing User:  Ms. Andhita Dessy Wulansari 
Date Deposited:  10 Apr 2023 05:39 
Last Modified:  10 Apr 2023 05:39 
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