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Journal Article

Wang, C., Zheng, C., & Chang, H. - H.. (2014). An Enhanced Approach to Combine Item Response Theory With Cognitive Diagnosis in Adaptive Testing. Journal of Educational Measurement, 51, 358–380. doi:10.1111/jedm.12057

Park, R., Kim, J., Chung, H., & Dodd, B. G.. (2014). Enhancing Pool Utilization in Constructing the Multistage Test Using Mixed-Format Tests. Applied Psychological Measurement, 38, 268-280. doi:10.1177/0146621613515545

van der Linden, W. J. (2006). Equating scores from adaptive to linear tests. Applied Psychological Measurement, 30, 493-508.

Greaud, V. A.,, & Green, B. F.. (1986). Equivalence of conventional and computer presentation of speed tests. Applied Psychological Measurement, 10, 23-34.

Revuelta, J. (2004). Estimating ability and item-selection strategy in self-adapted testing: A latent class approach. Journal of Educational and Behavioral Statistics, 29, 379-396.

Crotts, K. M., Zenisky, A. L., Sireci, S. G., & Li, X.. (2013). Estimating Measurement Precision in Reduced-Length Multi-Stage Adaptive Testing . Journal of Computerized Adaptive Testing, 1(4), 67-87. doi:10.7333/1309-0104067

Divgi, D. R. (1989). Estimating Reliabilities of Computerized Adaptive Tests. Applied Psychological Measurement, 13(2), 145-149.

v13n2p145.pdf (655.37 KB)

Penfield, R. D. (2007). Estimating the Standard Error of the Maximum Likelihood Ability Estimator in Adaptive Testing Using the Posterior-Weighted Test Information Function. Educational and Psychological Measurement, 67, 958-975. doi:10.1177/0013164407301544

Lee, Y. H., Park, J. H., & Park, I. Y.. (2006). Estimation of an examinee's ability in the web-based computerized adaptive testing program IRT-CAT. J Educ Eval Health Prof, 3, 4.

Cheng, P. E., & Liou, M.. (2000). Estimation of trait level in computerized adaptive testing. Applied Psychological Measurement, 24, 257-265.

Carlson, S. (2000). ETS finds flaws in the way online GRE rates some students. Chronicle of Higher Education, 47, a47.

Raîche, G., & Blais, J. - G.. (2002). Étude de la distribution d'échantillonnage de l'estimateur du niveau d'habileté en testing adaptatif en fonction de deux règles d'arrêt dans le contexte de l'application du modèle de Rasch [Study of the sampling distribution of the proficiecy estima. Mesure et évaluation en éducation, 24(2-3), 23-40.

ra02-03.pdf (366.98 KB)

Bennett, R. E., Steffen, M., Singley, M. K., Morley, M., & Jacquemin, D.. (1997). Evaluating an automatically scorable, open-ended response type for measuring mathematical reasoning in computer-adaptive tests.

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

Kreiter, C. D., Ferguson, K., & Gruppen, L. D.. (1999). Evaluating the usefulness of computerized adaptive testing for medical in-course assessment. Academic Medicine, 74, 1125-8. presented at the Oct.

Laurier, M. (2004). Évaluation et multimédia dans l'apprentissage d'une L2 [Assessment and multimedia in learning an L2]. ReCALL, 16, 475-487.

Fliege, H., Becker, J., Walter, O. B., Rose, M., Bjorner, J. B., & Klapp, B. F.. (2009). Evaluation of a computer-adaptive test for the assessment of depression (D-CAT) in clinical application. International Journal for Methods in Psychiatric Research, 18, 233-236. presented at the Feb 4.

Cui, Z., Liu, C., He, Y., & Chen, H.. (2018). Evaluation of a New Method for Providing Full Review Opportunities in Computerized Adaptive Testing—Computerized Adaptive Testing With Salt. Journal of Educational Measurement, 55, 582-594. doi:10.1111/jedm.12193

Kosinski, M., Bjorner, J., Warejr, J., Sullivan, E., & Straus, W.. (2006). An evaluation of a patient-reported outcomes found computerized adaptive testing was efficient in assessing osteoarthritis impact. Journal of Clinical Epidemiology, 59, 715-723.

Archer, R. P., Tirrell, C. A., & Elkins, D. E.. (2001). Evaluation of an MMPI-A short form: Implications for adaptive testing. Journal of Personality Assessment, 76, 76-89.

Economides, A. A., & Roupas, C.. (2007). Evaluation of computer adaptive testing systems. International Journal of Web-Based Learning and Teaching Technologies, 2, 70-87.

Cliff, N. A., & McCormick, D.. (1979). Evaluation of implied orders as a basis for tailored testing with simulation data. Applied Psychological Measurement, 3, 495-514.

Cliff, N., Cudeck, R., & McCormick, D. J.. (1979). Evaluation of Implied Orders as a Basis for Tailored Testing with Simulation Data. Applied Psychological Measurement, 3(4), 495-514.

v03n4p495.pdf (1.5 MB)

Kocalevent, R. D., Rose, M., Becker, J., Walter, O. B., Fliege, H., Bjorner, J. B., et al.. (2009). An evaluation of patient-reported outcomes found computerized adaptive testing was efficient in assessing stress perception. Journal of Clinical Epidemiology, 62, 278-287.

van Rijn, P. W., Eggen, T., Hemker, B. T., & Sanders, P. F.. (2002). Evaluation of selection procedures for computerized adaptive testing with polytomous items. Applied Psychological Measurement, 26, 393-411.

van Rijn, P. W., Eggen, T., Hemker, B. T., & Sanders, P. F.. (2002). Evaluation of selection procedures for computerized adaptive testing with polytomous items. Applied Psychological Measurement, 26, 393-411.

Nandakumar, R., & Roussos, L. A.. (2004). Evaluation of the CATSIB DIF procedure in a pretest setting. Journal of Educational and Behavioral Statistics, 29, 177-199.

Georgiadou, E., Triantafillou, E., & Economides, A. A.. (2006). Evaluation parameters for computer adaptive testing. British Journal of Educational Technology, Vol. 37(No 2), 261-278.

Walker, C. M., Beretvas, S. N., & Ackerman, T. A.. (2001). An examination of conditioning variables used in computer adaptive testing for DIF analyses. Applied Measurement in Education, 14, 3-16.

Davis, L. L., Pastor, D. A., Dodd, B. G., Chiang, C., & Fitzpatrick, S. J.. (2003). An examination of exposure control and content balancing restrictions on item selection in CATs using the partial credit model. Journal of Applied Measurement, 4, 24-42.

Borman, W. C., Buck, D. E., Hanson, M. A., Motowidlo, S. J., Stark, S., & Drasgow, F.. (2001). An examination of the comparative reliability, validity, and accuracy of performance ratings made using computerized adaptive rating scales. Journal of Applied Psychology, 86, 965-973.

Buck, D. E. (2000). An examination of the reliability and validity of performance ratings made using computerized adaptive rating scales. Dissertation Abstracts International: Section B: The Sciences and Engineering, 61, 570.

Wise, S. L., Finney, S. J.,, Enders, C. K., Freeman, S. A., & Severance, D. D.. (1999). Examinee judgments of changes in item difficulty: Implications for item review in computerized adaptive testing. Applied Measurement in Education, 12, 185-198.

Wise, S. L. (2023). Expanding the Meaning of Adaptive Testing to Enhance Validity. Journal of Computerized Adaptive Testing, 10(2), 22-31. doi:10.7333/2305-1002022

Bode, R. K., Lai, J. - S., Dineen, K., Heinemann, A. W., Shevrin, D., Von Roenn, J., & Cella, D.. (2006). Expansion of a physical function item bank and development of an abbreviated form for clinical research. Journal of Applied Measurement, 7, 1-15.

Haijing, L., & Shuliang, D.. (2007). An exploration and realization of computerized adaptive testing with cognitive diagnosis. Acta Psychologica Sinica, 39, 747-753.

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

Smith, R. W. (2000). An exploratory analysis of item parameters and characteristics that influence item level response time. Dissertation Abstracts International Section A: Humanities and Social Sciences, 61, 1812.

Cleary, T. A., Linn, R. L., & Rock, D. A.. (1969). An exploratory study of programmed tests. Educational and Psychological Measurement, 28, 345-360.

Levy, R., Behrens, J. T., & Mislevy, R. J.. (2023). An Extended Taxonomy of Variants of Computerized Adaptive Testing. Journal of Computerized Adaptive Testing, 10(1). doi:10.7333/2302-100101

Lai, J. - S., Crane, P. K., & Cella, D.. (2006). Factor analysis techniques for assessing sufficient unidimensionality of cancer related fatigue. Quality of Life Research, 15, 1179-90. presented at the Sep.

Huebner, A., Finkelman, M. D., & Weissman, A.. (2018). Factors Affecting the Classification Accuracy and Average Length of a Variable-Length Cognitive Diagnostic Computerized Test. Journal of Computerized Adaptive Testing, 6(1), 1-14. doi:10.7333/1802-060101

Davis, K. M., Chang, C. - H., Lai, J. - S., & Cella, D.. (2002). Feasibility and acceptability of computerized adaptive testing (CAT) for fatigue monitoring in clinical practice. Quality of Life Research, 11(7), 134.

Bayroff, A. G. (1964). Feasibility of a programmed testing machine.

Bjorner, J. B., Kosinski, M., & Ware, J. E., J.. (2003). The feasibility of applying item response theory to measures of migraine impact: a re-analysis of three clinical studies. Quality of Life Research, 12, 887-902.

Bejar, I. I., Lawless, R. R.,, Morley, M. E.,, Wagner, M. E.,, Bennett R. E.,, & Revuelta, J.. (2003). A feasibility study of on-the-fly item generation in adaptive testing. Journal of Technology, Learning, and Assessment, 2 (3).

be03-03.pdf (436.24 KB)

Blais, J. G., & Raiche, G.. (2010). Features of the sampling distribution of the ability estimate in computerized adaptive testing according to two stopping rules. Journal of Applied Measurement, 11, 424-31.

Weissman, A. (2006). A Feedback Control Strategy for Enhancing Item Selection Efficiency in Computerized Adaptive Testing. Applied Psychological Measurement, 30, 84-99. doi:10.1177/0146621605282774

Chen, Y. - Y., & Ankenmann, R. D.. (2004). ffects of practical constraints on item selection rules at the early stages of computerized adaptive testing. Journal of Educational Measurement, 41, 149-174.

Coyle, J. (2001). Final answer?. American School Board Journal, 188, 24-26.

Choi, S. W. (2009). Firestar: Computerized adaptive testing simulation program for polytomous IRT models. Applied Psychological Measurement, 33, 644–645.

Choi, S. W. (2009). Firestar: Computerized adaptive testing simulation program for polytomous IRT models. Applied Psychological Measurement, 33, 644-645. presented at the Nov 1.

Potenza, M. T., & Stocking, M. L.. (1997). Flawed items in computerized adaptive testing. Journal of Educational Measurement, 4, 79-96.

Hornke, L. F. (1979). Four realizations of pyramidal adaptive testing. Programmed Larning and Educational Technology, 16, 164-169.

Han, K. T. (2020). Framework for Developing Multistage Testing With Intersectional Routing for Short-Length Tests. Applied Psychological Measurement, 44, 87-102. doi:10.1177/0146621619837226

Thompson, N. A., & Weiss, D. J.. (2011). A framework for the development of computerized adaptive tests. Practical Assessment Research & Evaluation, 16.

Thompson-Weissv16n1.pdf (191.79 KB)

Barnard, J. J. (2018). From Simulation to Implementation: Two CAT Case Studies. Practical Assessment, Research & Evaluation , 23(14). Retrieved from http://pareonline.net/getvn.asp?v=23&n=14

Becker, J., Fliege, H., Kocalevent, R. D., Bjorner, J. B., Rose, M., Walter, O. B., & Klapp, B. F.. (2008). Functioning and validity of a computerized adaptive test to measure anxiety (A CAT). Depression and Anxiety, 25, E182-E194.

Bouchard, J. (1990). Future directions for the National Council: the Computerized Adaptive Testing Project. Issues, 11, 1, 3, 5.

Cella, D., Gershon, R. C., Lai, J. - S., & Choi, S. W.. (2007). The future of outcomes measurement: item banking, tailored short-forms, and computerized adaptive assessment. Quality of Life Research, 16, 133-141.

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