scholarly journals A Comparison of Three Empirical Reliability Estimates for Computerized Adaptive Testing (CAT) Using a Medical Licensing Examination

2018 ◽  
Vol 9 ◽  
Author(s):  
Dong Gi Seo ◽  
Sunho Jung
Keyword(s):  
Computerized Adaptive Testing ◽  
Adaptive Testing ◽  
Reliability Estimates ◽  
Medical Licensing ◽  
Licensing Examination

scholarly journals Correlations between the scores of computerized adaptive testing, paper and pencil tests, and the Korean Medical Licensing Examination

2005 ◽  
Vol 2 ◽  
pp. 113 ◽  
Author(s):  
Mee Young Kim ◽  
Yoon Hwan Lee ◽  
Sun Huh
Keyword(s):  
Medical Students ◽  
Medical School ◽  
Computerized Adaptive Testing ◽  
Adaptive Testing ◽  
Preliminary Examination ◽  
Medical Licensing ◽  
Licensing Examination ◽  
Paper And Pencil ◽  
Ability Estimate

To evaluate the usefulness of computerized adaptive testing (CAT) in medical school, the General Examination for senior medical students was administered as a paper and pencil test (P&P) and using CAT. The General Examination is a graduate examination, which is also a preliminary examination for the Korean Medical Licensing Examination (KMLE). The correlations between the results of the CAT and P&P and KMLE were analyzed. The correlation between the CAT and P&P was 0.8013 (p=0.000); that between the CAT and P&P was 0.7861 (p=0.000); and that between the CAT and KMLE was 0.6436 (p=0.000). Six out of 12 students with an ability estimate below 0.52 failed the KMLE. The results showed that CAT could replace P&P in medical school. The ability of CAT to predict whether students would pass the KMLE was 0.5 when the criterion of the theta value was set at -0.52 that was chosen arbitrarily for the prediction of pass or failure.

scholarly journals Post-hoc simulation study of computerized adaptive testing for the Korean Medical Licensing Examination

2018 ◽  
Vol 15 ◽  
pp. 14 ◽  
Author(s):  
Dong Gi Seo ◽  
Jeongwook Choi
Keyword(s):  
Simulation Study ◽  
Computerized Adaptive Testing ◽  
Likelihood Estimation ◽  
Adaptive Testing ◽  
Item Selection ◽  
Selection Methods ◽  
Medical Licensing ◽  
Licensing Examination ◽  
Post Hoc ◽  
Better Than

Purpose: Computerized adaptive testing (CAT) has been adopted in licensing examinations because it improves the efficiency and accuracy of the tests, as shown in many studies. This simulation study investigated CAT scoring and item selection methods for the Korean Medical Licensing Examination (KMLE). Methods: This study used a post-hoc (real data) simulation design. The item bank used in this study included all items from the January 2017 KMLE. All CAT algorithms for this study were implemented using the ‘catR’ package in the R program. Results: In terms of accuracy, the Rasch and 2-parametric logistic (PL) models performed better than the 3PL model. The ‘modal a posteriori’ and ‘expected a posterior’ methods provided more accurate estimates than maximum likelihood estimation or weighted likelihood estimation. Furthermore, maximum posterior weighted information and minimum expected posterior variance performed better than other item selection methods. In terms of efficiency, the Rasch model is recommended to reduce test length. Conclusion: Before implementing live CAT, a simulation study should be performed under varied test conditions. Based on a simulation study, and based on the results, specific scoring and item selection methods should be predetermined.

Benefits from Computerized Adaptive Testing as Seen in Simulation Studies

1999 ◽  
Vol 15 (2) ◽  
pp. 91-98 ◽  
Author(s):  
Lutz F. Hornke
Keyword(s):  
Measurement Error ◽  
Computerized Adaptive Testing ◽  
Test Procedure ◽  
Adaptive Testing ◽  
Parameter Estimates ◽  
Simulation Studies ◽  
Computerized Adaptive Test ◽  
Item Banks ◽  
Item Parameters ◽  
General Reliability

Summary: Item parameters for several hundreds of items were estimated based on empirical data from several thousands of subjects. The logistic one-parameter (1PL) and two-parameter (2PL) model estimates were evaluated. However, model fit showed that only a subset of items complied sufficiently, so that the remaining ones were assembled in well-fitting item banks. In several simulation studies 5000 simulated responses were generated in accordance with a computerized adaptive test procedure along with person parameters. A general reliability of .80 or a standard error of measurement of .44 was used as a stopping rule to end CAT testing. We also recorded how often each item was used by all simulees. Person-parameter estimates based on CAT correlated higher than .90 with true values simulated. For all 1PL fitting item banks most simulees used more than 20 items but less than 30 items to reach the pre-set level of measurement error. However, testing based on item banks that complied to the 2PL revealed that, on average, only 10 items were sufficient to end testing at the same measurement error level. Both clearly demonstrate the precision and economy of computerized adaptive testing. Empirical evaluations from everyday uses will show whether these trends will hold up in practice. If so, CAT will become possible and reasonable with some 150 well-calibrated 2PL items.

Methods for Restricting Maximum Exposure Rate in Computerized Adaptative Testing

Methodology ◽  
2007 ◽  
Vol 3 (1) ◽  
pp. 14-23 ◽  
Author(s):  
Juan Ramon Barrada ◽  
Julio Olea ◽  
Vicente Ponsoda
Keyword(s):  
Measurement Accuracy ◽  
Computerized Adaptive Testing ◽  
Computation Time ◽  
Adaptive Testing ◽  
Exposure Rate ◽  
Control Parameters ◽  
The Impact ◽  
Two Alternatives ◽  
Selection Of ◽  
Maximum Exposure

Abstract. The Sympson-Hetter (1985) method provides a means of controlling maximum exposure rate of items in Computerized Adaptive Testing. Through a series of simulations, control parameters are set that mark the probability of administration of an item on being selected. This method presents two main problems: it requires a long computation time for calculating the parameters and the maximum exposure rate is slightly above the fixed limit. Van der Linden (2003) presented two alternatives which appear to solve both of the problems. The impact of these methods in the measurement accuracy has not been tested yet. We show how these methods over-restrict the exposure of some highly discriminating items and, thus, the accuracy is decreased. It also shown that, when the desired maximum exposure rate is near the minimum possible value, these methods offer an empirical maximum exposure rate clearly above the goal. A new method, based on the initial estimation of the probability of administration and the probability of selection of the items with the restricted method ( Revuelta & Ponsoda, 1998 ), is presented in this paper. It can be used with the Sympson-Hetter method and with the two van der Linden's methods. This option, when used with Sympson-Hetter, speeds the convergence of the control parameters without decreasing the accuracy.

Sign in / Sign up

Export Citation Format

Share Document