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## Investigation of Item Selection Methods According to Test Termination Rules in CAT Applications

#### Sema SULAK [1] , Hülya KELECİOĞLU [2]

In this research, computerized adaptive testing item selection methods were investigated in regard to ability estimation methods and test termination rules. For this purpose, an item pool including 250 items and 2000 people were simulated (M = 0, SD = 1). A total of thirty computerized adaptive testing (CAT) conditions were created according to item selection methods (Maximum Fisher Information, a-stratification, Likelihood Weight Information Criterion, Gradual Information Ratio, and Kullback-Leibler), ability estimation methods (Maximum Likelihood Estimation, Expected a Posteriori Distribution), and test termination rules (40 items, SE < .20 and SE < .40). According to the fixed test-length stopping rule, the SE values that were obtained by using the Maximum Likelihood Estimation method were found to be higher than the SE values that were obtained by using the Expected a Posteriori Distribution ability estimation method. When ability estimation was Maximum Likelihood, the highest SE value was obtained from a-stratification item selection method when the test length is smaller then 30. Whereas, Kullback-Leibler item selection method yielded the highest SE value when the test length is larger then 30. According to Expected a Posteriori ability estimation method, the highest SE value was obtained from a-stratification item selection method in all test lengths. In the conditions where test termination rule was SE < .20, and Maximum Likelihood Ability Estimation method was used, the lowest and highest average number of items were obtained from the Gradual Information Ratio and Maximum Fisher Information item selection method, respectively. Furthermore, when the SE is lower than .20 and Expected a Posteriori ability estimation method was utilized, the lowest average number of items was obtained through Kullback-Leibler, and the highest was obtained through Likelihood Weight Information Criterion item selection method. In the conditions where the test termination rule was SE < .40, and ability estimation method was Maximum Likelihood Estimation, the maximum and minimum number of items were obtained by using Maximum Fisher Information and Kullback-Leibler item selection methods respectively. Additionally, when Expected a Posteriori ability estimation was used, the maximum and minimum number of items were obtained via Maximum Fisher Information and a-stratification item selection methods. For the cases where the stopping rule was SE < .20 and SE < .40 and Maximum Likelihood Estimation method was used, the average number of items were found to be highest in all item selection methods.

Computerized adaptive testing, maximum fisher information, a-stratification, likelihood weight information criterion, gradual information ratio, kullback-leibler
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Birincil Dil en Sosyal Sonbahar Makaleler Orcid: 0000-0002-2849-321XYazar: Sema SULAK (Sorumlu Yazar)Kurum: BARTIN UNIVERSITYÜlke: Turkey Orcid: 0000-0002-0741-9934Yazar: Hülya KELECİOĞLU Kurum: HACETTEPE UNIVERSITYÜlke: Turkey Yayımlanma Tarihi : 4 Eylül 2019
 Bibtex @araştırma makalesi { epod530528, journal = {Journal of Measurement and Evaluation in Education and Psychology}, issn = {1309-6575}, eissn = {1309-6575}, address = {}, publisher = {Eğitimde ve Psikolojide Ölçme ve Değerlendirme Derneği}, year = {2019}, volume = {10}, pages = {315 - 326}, doi = {10.21031/epod.530528}, title = {Investigation of Item Selection Methods According to Test Termination Rules in CAT Applications}, key = {cite}, author = {SULAK, Sema and KELECİOĞLU, Hülya} } APA SULAK, S , KELECİOĞLU, H . (2019). Investigation of Item Selection Methods According to Test Termination Rules in CAT Applications. Journal of Measurement and Evaluation in Education and Psychology , 10 (3) , 315-326 . DOI: 10.21031/epod.530528 MLA SULAK, S , KELECİOĞLU, H . "Investigation of Item Selection Methods According to Test Termination Rules in CAT Applications". Journal of Measurement and Evaluation in Education and Psychology 10 (2019 ): 315-326 Chicago SULAK, S , KELECİOĞLU, H . "Investigation of Item Selection Methods According to Test Termination Rules in CAT Applications". Journal of Measurement and Evaluation in Education and Psychology 10 (2019 ): 315-326 RIS TY - JOUR T1 - Investigation of Item Selection Methods According to Test Termination Rules in CAT Applications AU - Sema SULAK , Hülya KELECİOĞLU Y1 - 2019 PY - 2019 N1 - doi: 10.21031/epod.530528 DO - 10.21031/epod.530528 T2 - Journal of Measurement and Evaluation in Education and Psychology JF - Journal JO - JOR SP - 315 EP - 326 VL - 10 IS - 3 SN - 1309-6575-1309-6575 M3 - doi: 10.21031/epod.530528 UR - https://doi.org/10.21031/epod.530528 Y2 - 2019 ER - EndNote %0 Eğitimde ve Psikolojide Ölçme ve Değerlendirme Dergisi Investigation of Item Selection Methods According to Test Termination Rules in CAT Applications %A Sema SULAK , Hülya KELECİOĞLU %T Investigation of Item Selection Methods According to Test Termination Rules in CAT Applications %D 2019 %J Journal of Measurement and Evaluation in Education and Psychology %P 1309-6575-1309-6575 %V 10 %N 3 %R doi: 10.21031/epod.530528 %U 10.21031/epod.530528 ISNAD SULAK, Sema , KELECİOĞLU, Hülya . "Investigation of Item Selection Methods According to Test Termination Rules in CAT Applications". Journal of Measurement and Evaluation in Education and Psychology 10 / 3 (Eylül 2019): 315-326 . https://doi.org/10.21031/epod.530528 AMA SULAK S , KELECİOĞLU H . Investigation of Item Selection Methods According to Test Termination Rules in CAT Applications. Journal of Measurement and Evaluation in Education and Psychology. 2019; 10(3): 315-326. Vancouver SULAK S , KELECİOĞLU H . Investigation of Item Selection Methods According to Test Termination Rules in CAT Applications. Journal of Measurement and Evaluation in Education and Psychology. 2019; 10(3): 326-315.