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Journal Article

Lunz, M. E., Berstrom, B. A., & Wright, B. D.. (1992). The Effect of Review on Student Ability and Test Efficiency for Computerized Adaptive Tests. Applied Psychological Measurement, 16(1), 33-40.

v16n1p033.pdf (584.06 KB)

Lunz, M. E., Bergstrom, B. A., & Wright, B. D.. (1992). The effect of review on student ability and test efficiency for computerized adaptive tests. Applied Psychological Measurement, 16, 33-40.

Stone, G. E., & Lunz, M. E.. (1994). The effect of review on the psychometric characteristics of computerized adaptive tests. Applied Measurement in Education, 7, 211-222.

Lunz, M. E., & Stone, G. E.. (1994). The effect of review on the psychometric characteristics of computerized adaptive tests. Applied Measurement in Education, 7(3), 211-222.

Stone, G. E., & Lunz, M. E.. (1994). The effect of review on the psychometric characterstics of computerized adaptive tests. Applied Measurement in Education, 7, 211-222.

Rizavi, S. M. (2002). The effect of test characteristics on aberrant response patterns in computer adaptive testing. Dissertation Abstracts International Section A: Humanities & Social Sciences, 62, 3363.

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

Pommerich, M. (2007). The Effect of Using Item Parameters Calibrated from Paper Administrations in Computer Adaptive Test Administrations. The Journal of Technology, Learning, and Assessment, 5.

Rocklin, T. R., O’Donnell, A. M., & Holst, P. M.. (1995). Effects and underlying mechanisms of self-adapted testing. Journal of Educational Psychology, 87, 103-116.

Lee, J. A. (1986). The effects of computer experience on computerized adaptive test performance. Educational and Psychological Measurement, 46, 727-733.

Yang, X., Poggio, J. C., & Glasnapp, D. R.. (2006). Effects of Estimation Bias on Multiple-Category Classification With an IRT-Based Adaptive Classification Procedure. Educational and Psychological Measurement, 66, 545-564. doi:10.1177/0013164405284031

Betz, N. E. (1977). Effects of immediate knowledge of results and adaptive testing on ability test performance. Applied Psychological Measurement, 2, 259-266.

Betz, N. E. (1977). Effects of Immediate Knowledge of Results and Adaptive Testing on Ability Test Performance. Applied Psychological Measurement, 1(2), 259-266.

v01n2p259.pdf (571.01 KB)

Ree, M. J. (1981). The Effects of Item Calibration Sample Size and Item Pool Size on Adaptive Testing. Applied Psychological Measurement, 5(1), 11-19.

v05n1p011.pdf (707.62 KB)

Jiao, H. (2003). The effects of model specification error in item response theory-based computerized classification test using sequential probability ratio test. Dissertation Abstracts International Section A: Humanities & Social Sciences, 64, 478.

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

Ponsoda, V., Olea, J., Rodriguez, M. S., & Revuelta, J.. (1999). The effects of test difficulty manipulation in computerized adaptive testing and self-adapted testing. Applied Measurement in Education, 12, 167-184.

Hankins, J. A. (1990). The effects of variable entry on bias and information of the Bayesian adaptive testing procedure. Educational and Psychological Measurement, 50, 785-802.

Frey, A., Hartig, J., & Moosbrugger, H.. (2009). Effekte des adaptiven Testens auf die Moti¬vation zur Testbearbeitung [Effects of adaptive testing on test taking motivation].. Diagnostica, 55, 20-28.

Wood, R. L. (1969). The efficacy of tailored testing. Educational Research, 11, 219-222.

Allen, D. D., Ni, P., & Haley, S. M.. (2008). Efficiency and sensitivity of multidimensional computerized adaptive testing of pediatric physical functioning. Disability & Rehabilitation, 30, 479-84.

Han, K. T. (2012). An Efficiency Balanced Information Criterion for Item Selection in Computerized Adaptive Testing. Journal of Educational Measurement, 49, 225–246. doi:10.1111/j.1745-3984.2012.00173.x

Choi, S., Reise, S. P., Pilkonis, P. A., Hays, R. D., & Cella, D.. (2010). Efficiency of static and computer adaptive short forms compared to full-length measures of depressive symptoms. Quality of Life Research, 19(1), 125–136.

Berger, S., Verschoor, A. J., Eggen, T. J. H. M., & Moser, U.. (2019). Efficiency of Targeted Multistage Calibration Designs Under Practical Constraints: A Simulation Study. Journal of Educational Measurement, 56, 121-146. doi:10.1111/jedm.12203

Stark, S., & Drasgow, F.. (2002). An EM approach to parameter estimation for the Zinnes and Griggs paired comparison IRT model. Applied Psychological Measurement, 26, 208-227.

Hambleton, R. K. (2000). Emergence of item response modeling in instrument development and data analysis. Medical Care, 38, II60-II65.

Yen, Y. - C., Ho, R. - G., Laio, W. - W., Chen, L. - J., & Kuo, C. - C.. (2012). An Empirical Evaluation of the Slip Correction in the Four Parameter Logistic Models With Computerized Adaptive Testing. Applied Psychological Measurement, 36, 75-87. doi:10.1177/0146621611432862

van der Linden, W. J. (1999). Empirical initialization of the trait estimator in adaptive testing. Applied Psychological Measurement, 23, 21-29.

Waters, B. K. (1977). An Empirical Investigation of the Stratified Adaptive Computerized Testing Model. Applied Psychological Measurement, 1(1), 141-152.

v01n1p141.pdf (725.15 KB)

Lunz, M. E., & Bergstrom, B. A.. (1994). An empirical study of computerized adaptive test administration conditions. Journal of Educational Measurement, 31, 251-263. presented at the Fal.

Anastasi, A. (1953). An empirical study of the applicability of sequential analysis to item selection, 13, 3-13.

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., 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)

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.

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.

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