Export 2212 results:
2017
Zheng, C., & Wang, C.. (2017). Application of Binary Searching for Item Exposure Control in Cognitive Diagnostic Computerized Adaptive Testing. Applied Psychological Measurement, 41, 561-576. doi:10.1177/0146621617707509
Donadello, I., Spoto, A., Sambo, F., Badaloni, S., Granziol, U., & Vidotto, G.. (2017). ATS-PD: An Adaptive Testing System for Psychological Disorders. Educational and Psychological Measurement, 77, 792-815. doi:10.1177/0013164416652188
Ling, G., Attali, Y., Finn, B., & Stone, E. A.. (2017). Is a Computerized Adaptive Test More Motivating Than a Fixed-Item Test?. Applied Psychological Measurement, 41, 495-511. doi:10.1177/0146621617707556
Park, R., Kim, J., Chung, H., & Dodd, B. G.. (2017). The Development of MST Test Information for the Prediction of Test Performances. Educational and Psychological Measurement, 77, 570-586. doi:10.1177/0013164416662960
Kang, H. - A., Zhang, S., & Chang, H. - H.. (2017). Dual-Objective Item Selection Criteria in Cognitive Diagnostic Computerized Adaptive Testing. Journal of Educational Measurement, 54, 165–183. doi:10.1111/jedm.12139
Born, S., & Frey, A.. (2017). Heuristic Constraint Management Methods in Multidimensional Adaptive Testing. Educational and Psychological Measurement, 77, 241-262. doi:10.1177/0013164416643744
Zheng, C., He, G., & Gao, C.. (2017). The Information Product Methods: A Unified Approach to Dual-Purpose Computerized Adaptive Testing. Applied Psychological MeasurementApplied Psychological Measurement, 42(4), 321 - 324. presented at the 2018/06/01. Retrieved from https://doi.org/10.1177/0146621617730392
PDF icon itemusage_QLR.pdf (641.22 KB)
van Buuren, N., & Eggen, T. J. H. M.. (2017). Latent-Class-Based Item Selection for Computerized Adaptive Progress Tests. Journal of Computerized Adaptive Testing, 5(2), 22-43. doi:10.7333/1704-0502022
Luo, X., Kim, D., & Dickison, P.. (2017). Projection-Based Stopping Rules for Computerized Adaptive Testing in Licensure Testing. Applied Psychological MeasurementApplied Psychological Measurement, 42(4), 275 - 290. presented at the 2018/06/01. Retrieved from https://doi.org/10.1177/0146621617726790
PDF icon Robust_ATA_veldkamp_paap_2017.pdf (184.33 KB)
2016
Culbertson, M. J. (2016). Bayesian Networks in Educational Assessment: The State of the Field. Applied Psychological Measurement, 40, 3-21. doi:10.1177/0146621615590401
Su, Y. - H. (2016). A Comparison of Constrained Item Selection Methods in Multidimensional Computerized Adaptive Testing. Applied Psychological Measurement, 40, 346-360. doi:10.1177/0146621616639305
Huebner, A. R., & Finkelman, M. D.. (2016). On Computing the Key Probability in the Stochastically Curtailed Sequential Probability Ratio Test. Applied Psychological Measurement, 40, 142-156. doi:10.1177/0146621615611633
PDF icon Colvin FINAL.pdf (630.27 KB)
Dai, B., Zhang, M., & Li, G.. (2016). Exploration of Item Selection in Dual-Purpose Cognitive Diagnostic Computerized Adaptive Testing: Based on the RRUM. Applied Psychological Measurement, 40, 625-640. doi:10.1177/0146621616666008
Wang, S., Lin, H., Chang, H. - H., & Douglas, J.. (2016). Hybrid Computerized Adaptive Testing: From Group Sequential Design to Fully Sequential Design. Journal of Educational Measurement, 53, 45–62. doi:10.1111/jedm.12100
Veldkamp, B. P. (2016). On the Issue of Item Selection in Computerized Adaptive Testing With Response Times. Journal of Educational Measurement, 53, 212–228. doi:10.1111/jedm.12110
Han, K. T. (2016). Maximum Likelihood Score Estimation Method With Fences for Short-Length Tests and Computerized Adaptive Tests. Applied Psychological Measurement, 40, 289-301. doi:10.1177/0146621616631317
Wise, S. L., & G. Kingsbury, G.. (2016). Modeling Student Test-Taking Motivation in the Context of an Adaptive Achievement Test. Journal of Educational Measurement, 53, 86–105. doi:10.1111/jedm.12102
Zhang, J., & Li, J.. (2016). Monitoring Items in Real Time to Enhance CAT Security. Journal of Educational Measurement, 53, 131–151. doi:10.1111/jedm.12104
Zheng, Y. (2016). Online Calibration of Polytomous Items Under the Generalized Partial Credit Model. Applied Psychological Measurement, 40, 434-450. doi:10.1177/0146621616650406
Choi, S. W., Moellering, K. T., Li, J., & van der Linden, W. J.. (2016). Optimal Reassembly of Shadow Tests in CAT. Applied Psychological Measurement, 40, 469-485. doi:10.1177/0146621616654597
H., Q., Staniewska, D., Reckase, M., & Woo, A.. (2016). Using Response Time to Detect Item Preknowledge in Computer?Based Licensure Examinations. Educational Measurement: Issues and Practice., 35(1). doi:http://dx.doi.org/10.1111/emip.12102
2015
Sinharay, S., Wan, P., Choi, S. W., & Kim, D. - I.. (2015). Assessing Individual-Level Impact of Interruptions During Online Testing. Journal of Educational Measurement, 52, 80–105. doi:10.1111/jedm.12064
Cheng, Y., Patton, J. M., & Shao, C.. (2015). a-Stratified Computerized Adaptive Testing in the Presence of Calibration Error. Educational and Psychological Measurement, 75, 260-283. doi:10.1177/0013164414530719
Seo, D. Gi, & Weiss, D. J.. (2015). Best Design for Multidimensional Computerized Adaptive Testing With the Bifactor Model. Educational and Psychological Measurement, 75, 954-978. doi:10.1177/0013164415575147
Kim, S., Moses, T., & Yoo, H. (Henry). (2015). A Comparison of IRT Proficiency Estimation Methods Under Adaptive Multistage Testing. Journal of Educational Measurement, 52, 70–79. doi:10.1111/jedm.12063
Wyse, A. E., & Albano, A. D.. (2015). Considering the Use of General and Modified Assessment Items in Computerized Adaptive Testing. Applied Measurement in Education, 28(2). doi:http://dx.doi.org/10.1080/08957347.2014.1002921
Cheng, Y., & Liu, C.. (2015). The Effect of Upper and Lower Asymptotes of IRT Models on Computerized Adaptive Testing. Applied Psychological Measurement, 39, 551-565. doi:10.1177/0146621615585850
Wise, S. L., Kingsbury, G. G., & Webb, N. L.. (2015). Evaluating Content Alignment in Computerized Adaptive Testing. Educational Measurement: Issues and Practice, 34(4). doi:http://dx.doi.org/10.1111/emip.12094
Barnard, J. J. (2015). Implementing a CAT: The AMC Experience . Journal of Computerized Adaptive Testing, 3(1), 1-12. doi:10.7333/15100301001
Liu, O. Lydia, Bridgeman, B., Gu, L., Xu, J., & Kong, N.. (2015). Investigation of Response Changes in the GRE Revised General Test. Educational and Psychological Measurement, 75, 1002-1020. doi:10.1177/0013164415573988
Kaplan, M., de la Torre, J., & Barrada, J. R.. (2015). New Item Selection Methods for Cognitive Diagnosis Computerized Adaptive Testing. Applied Psychological Measurement, 39, 167-188. doi:10.1177/0146621614554650
Chen, Y., Liu, J., & Ying, Z.. (2015). Online Item Calibration for Q-Matrix in CD-CAT. Applied Psychological Measurement, 39, 5-15. doi:10.1177/0146621613513065
Zheng, Y., & Chang, H. - H.. (2015). On-the-Fly Assembled Multistage Adaptive Testing. Applied Psychological Measurement, 39, 104-118. doi:10.1177/0146621614544519
Wei, H., & Lin, J.. (2015). Using Out-of-Level Items in Computerized Adaptive Testing. International Journal of Testing, 15(1). doi:http://dx.doi.org/10.1080/15305058.2014.979492
Sie, H., Finkelman, M. D., Riley, B., & Smits, N.. (2015). Utilizing Response Times in Computerized Classification Testing. Applied Psychological Measurement, 39, 389-405. doi:10.1177/0146621615569504
Hsu, C. - L., & Wang, W. - C.. (2015). Variable-Length Computerized Adaptive Testing Using the Higher Order DINA Model. Journal of Educational Measurement, 52, 125–143. doi:10.1111/jedm.12069

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