Frey, A., & Moosbrugger, H.. (2004). Kann die Konfundierung von Konzentrationsleistung und Aktivierung durch adaptives Testen mit dern FAKT vermieden werden? [Avoiding the confounding of concentration performance and activation by adaptive testing with the FACT]. Zeitschrift für Differentielle und Diagnostische Psychologie, 25, 1-17.

Barrada, J. R., Olea, J., & Abad, F. J.. (2008). Rotating item banks versus restriction of maximum exposure rates in computerized adaptive testing. Spanish Journal of Psychology, 11, 618-625.

Ponsoda, V. (2000). Overview of the computerized adaptive testing special section. Psicológica, 21, 115-120.

Haley, S. M., Ni, P., Ludlow, L. H., & Fragala-Pinkham, M. A.. (2006). Measurement precision and efficiency of multidimensional computer adaptive testing of physical functioning using the pediatric evaluation of disability inventory. Archives of Physical Medicine and Rehabilitation, 87, 1223-9. presented at the Sep.

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.

Butcher, J. N., Perry, J. L., & Hahn, J. A.. (2004). Computers in clinical assessment: Historical developments, present status, and future challenges. Journal of Clinical Psychology, 60, 331-345.

Thompson, N. A. (2007). A practitioner's guide to variable-length computerized classification testing. Practical Assessment, Research and Evaluation. presented at the 7/1/2009.

Eggen, T., & Straetmans, G. J. J. M.. (2000). Computerized adaptive testing for classifying examinees into three categories. Educational and Psychological Measurement, 60, 713-34.

Jiao, H., Wang, S., & Lau, C. A.. (2004). An investigation of two combination procedures of SPRT for three-category classification decisions in computerized classification test. annual meeting of the American Educational Research Association. presented at the 04/2004, San Antonio, Texas.

Paek, P. (2005). Recent trends in comparability studies (No. 05-05). PEM Research Report 05-05. presented at the August, 2005, Pearson.

Rubio, V. J., Aguado, D., Hontangas, P. M., & Hernández, J. M.. (2007). Psychometric properties of an emotional adjustment measure: An application of the graded response model. European Journal of Psychological Assessment, 23, 39-46.

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.

Ariel, A., Veldkamp, B. P., & van der Linden, W. J.. (2004). Constructing rotating item pools for constrained adaptive testing. Journal of Educational Measurement, 41, 345-359.

Bergstrom, B. A., & Lunz, M. E.. (1994). The equivalence of Rasch item calibrations and ability estimates across modes of administration. In Objective measurement: Theory into practice (Vol. 2, pp. 122-128). Norwood, N.J. USA: Ablex Publishing Co.

Finkelman, M. D., Weiss, D. J., & Kim-Kang, G.. (2010). Item Selection and Hypothesis Testing for the Adaptive Measurement of Change. Applied Psychological Measurement, 34(4), 238-254. doi:10.1177/0146621609344844

Häusler, J.. (2006). Adaptive success control in computerized adaptive testing. Psychology Science, 48, 436-450.

Reckase, M. D. (1989). Adaptive testing: The evolution of a good idea. Educational Measurement: Issues and Practice, 8, 11-15.

Stocking, M. L., Ward, W. C., & Potenza, M. T.. (1998). Simulating the use of disclosed items in computerized adaptive testing. Journal of Educational Measurement, 35, 48-68.

Chen, S. - K. (1997). A comparison of maximum likelihood estimation and expected a posteriori estimation in computerized adaptive testing using the generalized partial credit model. Dissertation Abstracts International: Section B: the Sciences & Engineering, 58, 453.

Kuan, T. H. (1991). A comparison of paper-and-pencil, computer-administered, computerized feedback, and computerized adaptive testing methods for classroom achievement testing. Dissertation Abstracts International, 52, 1719.

van der Linden, W. J. (2008). Some new developments in adaptive testing technology. Zeitschrift für Psychologie, 216, 3-11.

de Ayala, R. J., Dodd, B. G., & Koch, W. R.. (1990). A simulation and comparison of flexilevel and Bayesian computerized adaptive testing. Journal of Educational Measurement, 27, 227-239.

Luecht, R. M., de Champlain, A., & Nungester, R. J.. (1998). Maintaining content validity in computerized adaptive testing. Advances in Health Sciences Education, 3, 29-41.

Veldkamp, B. P. (2010). Bayesian item selection in constrained adaptive testing. Psicologica, 31, 149-169.

Gershon, R. C. (1996). The effect of individual differences variables on the assessment of ability for Computerized Adaptive Testing. Dissertation Abstracts International: Section B: the Sciences & Engineering, 57, 4085.

Passos, V. L., Berger, M. P. F., & Tan, F. E.. (2007). Test design optimization in CAT early stage with the nominal response model. Applied Psychological Measurement, 31, 213-232.

Sands, W. A., Waters, B. K., & McBride, J. R.. (1997). Computerized adaptive testing: From inquiry to operation. Washington, D.C., USA: American Psychological Association.

Buyske, S. G. (1999). Optimal design for item calibration in computerized adaptive testing. Dissertation Abstracts International: Section B: the Sciences & Engineering, 59, 4220.

DeMars, C. E. (2022). The (non)Impact of Misfitting Items in Computerized Adaptive Testing. Journal of Computerized Adaptive Testing, 9(2). doi:10.7333/2211-0902008

Kim, H. - O. (1994). Monte Carlo simulation comparison of two-stage testing and computerized adaptive testing. Dissertation Abstracts International Section A: Humanities & Social Sciences, 54, 2548.

Thompson, N. A., & Ro, S.. (2007). Computerized classification testing with composite hypotheses. GMAC Conference on Computerized Adaptive Testing. St. Paul, MN: Graduate Management Admissions Council.

Conejo, R., Guzmán, E., Millán, E., Trella, M., Pérez-De-La-Cruz, J. L., & Ríos, A.. (2004). Siette: a web-based tool for adaptive testing. International Journal of Artificial Intelligence in Education, 14, 29-61.

Leung, C. - K., Chang, H. - H., & Hau, K. - T.. (2003). Incorporation of Content Balancing Requirements in Stratification Designs for Computerized Adaptive Testing. Educational and Psychological Measurement, 63, 257-70.

van der Linden, W. J., Scrams, D. J., & Schnipke, D. L.. (1999). Using response-time constraints to control for differential speededness in computerized adaptive testing. Applied Psychological Measurement, 23, 195-210.

Egberink, I. J. L., Meijer, R. R., Veldkamp, B. P., Schakel, L., & Smid, N. G.. (2010). Detection of aberrant item score patterns in computerized adaptive testing: An empirical example using the CUSUM. Personality and Individual Differences, 48, 921-925.

Meijer, R. R., & Nering, M. L.. (1999). Computerized Adaptive Testing: Overview and Introduction. Applied Psychological Measurement, 23, 187-94.

Magis, D., & Raîche, G.. (2011). catR: An R Package for Computerized Adaptive Testing. Applied Psychological Measurement. doi:10.1177/0146621611407482

Hai-qi, D., De-zhi, C., Shuliang, D., & Taiping, D.. (2006). The comparison among item selection strategies of CAT with multiple-choice items. Acta Psychologica Sinica, 38, 778-783.

Powell, Z. - H. E. (1992). Test anxiety and test performance under computerized adaptive testing methods. Dissertation Abstracts International, 52, 2518.

Berg, S. R. (1996). Dynamic scaling: An ipsative procedure using techniques from computer adaptive testing. Dissertation Abstracts International: Section B: the Sciences & Engineering, 56, 5824.

Stocking, M. L. (1997). Revising item responses in computerized adaptive tests: A comparison of three models. Applied Psychological Measurement, 21, 129-142.

Chang, S. - H. (1991). Inter-subtest branching in computerized adaptive testing. Dissertation Abstracts International, 52, 140-141.

Kingsbury, G. G., & Houser, R. L.. (2008). ICAT: An adaptive testing procedure for the identification of idiosyncratic knowledge patterns. Zeitschrift für Psychologie, 216, 40-48.

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

de Ayala, R. J. (1988). Computerized adaptive testing: A comparison of the nominal response model and the three parameter model. Dissertation Abstracts International, 48, 3148.

Luecht, R. M. (1996). Multidimensional computerized adaptive testing in a certification or licensure context. Applied Psychological Measurement, 20, 389-404.

Veerkamp, W. J. J. (2000). Taylor approximations to logistic IRT models and their use in adaptive testing. Journal of Educational and Behavioral Statistics, 25, 307-343.

Garrison, W. M., & Baumgarten, B. S.. (1986). An application of computer adaptive testing with communication handicapped examinees. Educational and Psychological Measurement, 46, 23-35.

Orban, J. A. (1982). Ability measurement, test bias reduction, and psychological reactions to testing as a function of computer adaptive testing versus conventional testing. Dissertation Abstracts International, 42, 4233.

Roper, B. L. (1993). Comparability and validity of computerized adaptive testing with the MMPI-2. Dissertation Abstracts International, 53, 3791.

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.

Finkelman, M., & Wang, C.. (2019). Time-Efficient Adaptive Measurement of Change. Journal of Computerized Adaptive Testing, 7(2), 15-34. doi:10.7333/1909-0702015

Kalohn, J. C., & Spray, J. A.. (1999). The effect of model misspecification on classification decisions made using a computerized test. Journal of Educational Measurement, 36, 47-59.

Thompson, N. A. (2007). A practitioner's guide to variable-length computerized classification testing. Practical Assessment, Research and Evaluation. presented at the 7/1/2009.

Claudio, M. J. C. (1998). Applications of network flows to computerized adaptive testing. Dissertation Abstracts International: Section B: the Sciences & Engineering, 59, 0855.

Lei, P. - W., Chen, S. - Y., & Yu, L.. (2006). Comparing methods of assessing differential item functioning in a computerized adaptive testing environment. Journal of Educational Measurement, 43, 245-264.

van der Linden, W. J., & Reese, L. M.. (1998). A model for optimal constrained adaptive testing. Applied Psychological Measurement, 22, 259-270.

Drasgow, F., & Olson-Buchanan, J. B.. (1999). Innovations in computerized assessment. Mahwah, N.J.: Lawrence Erlbaum Associates, Inc.

Meijer, R. R. (2002). Outlier detection in high-stakes certification testing. Journal of Educational Measurement, 39, 219-233.

Veldkamp, B. P. (2003). Item selection in polytomous CAT. In A. Okada, Shigenasu, K., Kano, Y., & Meulman, J., New developments in psychometrics (pp. 207–214). Tokyo, Japan: Psychometric Society, Springer.