Export 74 results:
Filters: First Letter Of Title is U  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
A
Abdullah, S. C., & Cooley, R. E.. (2000). Using constraints to develop and deliver adaptive tests. In Paper presented at the Computer-Assisted Testing Conference.
PDF icon ab00-01.pdf (45.6 KB)
Ackerman, T. A. (1987). The use of unidimensional item parameter estimates of multidimensional items in adaptive testing (No. 87-13). ACT Research Reports (p. 33). presented at the September, 1987, Iowa City, IA: ACT.
PDF icon v15n1p013.pdf (1.06 MB)
Anderson, D. (1999). Use of conditional item exposure methodology for an operational CAT. In Paper presented at the annual meeting of the National Council on Measurement in Education. Montreal, Canada.
B
Betz, N. E., & Turner, B. M.. (2011). Using Item Response Theory and Adaptive Testing in Online Career Assessment. Journal of Career Assessment, 19, 274-286. doi:10.1177/1069072710395534
C
Carey, P. A. (1999). The use of linear-on-the-fly testing for TOEFL Reading. In Paper presented at the annual meeting of the National Council on Measurement in Education. Montreal, Canada.
Chang, H. - H. (2004). Understanding computerized adaptive testing: From Robbins-Munro to Lord and beyond. In . D. Kaplan (Ed.), The Sage handbook of quantitative methodology for the social sciences (pp. 117-133). New York: Sage.
Conrad, K. J., Riley, B. B., & Dennis, M. L.. (2007). The use of computerized adaptive testing to assess psychopathology using the Global Appraisal of Individual Needs. American Evaluation Association. presented at the November, Portland, OR USA: American Evaluation Association .
Cory, C. H. (1976). Using computerized tests to add new dimensions to the measurement of abilities which are important for on-job performance: An exploratory study. In . C. K. Clark (Ed.), Proceedings of the First Conference on Computerized Adaptive Testing (pp. 64-74). Washington DC: U.S. Government Printing Office.
PDF icon co75-01.pdf (631.79 KB)
D
De Beer, M. (2002). Utility of Learning Potential Computerised Adaptive Test (LPCAT) scores in predicting academic performance of bridging students: A comparison with other predictors. In Paper presented at the 5th Annual Society for Industrial and Organisational Psychology Congress. Pretoria, South Africa.
De Beer, M. (2007). Use of CAT in dynamic testing. In . D. J. Weiss (Ed.), Proceedings of the 2007 GMAC Conference on Computerized Adaptive Testing.
PDF icon cat2007debeer.pdf (133.49 KB)
De Champlain, A. F. (2017). Using Automated Item Generation in a Large-scale Medical Licensure Exam Program: Lessons Learned. In 2017 IACAT Conference. presented at the 08.2017, Niigata, Japan: Niigata Seiryo University. Retrieved from https://drive.google.com/open?id=14N8hUc8qexAy5W_94TykEDABGVIJHG1h
L
Lai, H., Alves, C., & Gierl, M. J.. (2009). Using automatic item generation to address item demands for CAT. In . D. J. Weiss (Ed.), Proceedings of the 2009 GMAC Conference on Computerized Adaptive Testing.
PDF icon cat09lai.pdf (319.89 KB)
Lau, C. A., Abdel-Fattah, A. A., & Spray, J. A.. (1996). Using unidimensional IRT models for dichotomous classification via CAT with multidimensional data. In Poster session presented at the annual meeting of the American Educational Research Association. Boston MA.
Laurier, M. (1993). Un test adaptatif en langue seconde : la perception des apprenants. In . R.Hivon (Éd.),L’évaluation des apprentissages. Sherbrooke : Éditions du CRP.
Lewis, C.,, & Sheehan, K.. (1990). Using Bayesian decision theory to design a computerized mastery test. Applied Psychological Measurement, 14, 367-386.
Lewis, C., & Sheehan, K.. (1990). Using Bayesian Decision Theory to Design a Computerized Mastery Test. Applied Psychological Measurement, 14(4), 367-386.
PDF icon v14n4p367.pdf (1.29 MB)
M
McDonald, R. P. (1985). Unidimensional and multidimensional models for item response theory. Proceedings of the 1982 Computerized Adaptive Testing Conference. presented at the 06/1982, Minneapolis, MN. USA: University of Minnesota, Department of Psychology, Psychometrics Methods Program.
Meijer, R. R., & van Krimpen-Stoop, E. M. L. A.. (2005). The use of person-fit statistics in computerized adaptive testing. LSAC Research Report Series. presented at the September, 2005, Newton, PA. USA: Law School Administration Council.
Millan, E., Trella, M., Perez-de-la-Cruz, J. - L., & Conejo, R.. (2000). Using Bayesian Networks in Computerized Adaptive Tests. In . M. Ortega and J. Bravo (Eds.),Computers and Education in the 21st Century. Kluwer, pp. 217228.
Millman, J. (1984). Using microcomputers to administer tests: An alternate point of view. Educational Measurement: Issues and Practice, 3(2), 20-21.
R
Raîche, G.. (1994). Utilisation de la simulation en tant que méthodologie de recherche [Simulation methodology in research]. In . Association pour la recherche au collégial (Ed.) : L'en-quête de la créativité [In quest of creativity]. Proceeding of the 6th Congress of the ARC. Montréal: Association pour la recherche au collégial (ARC).
Riley, B. B., Funk, R., Dennis, M. L., Lennox, R. D., & Finkelman, M.. (2011). The Use of Decision Trees for Adaptive Item Selection and Score Estimation. In Annual Conference of the International Association for Computerized Adaptive Testing. presented at the 10/2011.
PDF icon IACAT 2011 Riley Funk Dennis Lennox Finkelman Use of Decision Trees for Adaptive Item.pdf (456.04 KB)
S
Samejima, F. (1977). A Use of the Information Function in Tailored Testing. Applied Psychological Measurement, 1(2), 233-247.
PDF icon v01n2p233.pdf (893 KB)
Shen, Y., Bao, Y., Wang, S., & Bradshaw, L.. (2017). Using Computerized Adaptive Testing to Detect Students’ Misconceptions: Exploration of Item Selection. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University.
Sheng, Y., Flournoy, N., & Osterlind, S. J.. (2007). Up-and-down procedures for approximating optimal designs using person-response functions. In . D. J. Weiss (Ed.). Proceedings of the 2007 GMAC Conference on Computerized Adaptive Testing.
PDF icon cat07sheng.pdf (1.02 MB)
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
Smith, R. L., Rizavi, S., Paez, R., & Rotou, O.. (2002). Updated item parameter estimates using sparse CAT data. In Paper presented at the annual meeting of the National Council on Measurement in Education. New Orleans LA.
PDF icon sm02-02.pdf (985.84 KB)
T
Thompson, D. L. (1986). Using microcomputer-based assessment in career counseling. Journal of Employment Counseling, 23, 50-56.
Thompson, N. A. (2009). Utilizing the generalized likelihood ratio as a termination criterion. In . D. J. Weiss (Ed.), Proceedings of the 2009 GMAC Conference on Computerized Adaptive Testing.
PDF icon cat09thompson.pdf (193.51 KB)
V
van der Linden, W. J., Scrams, D. J., & Schnipke, D. L.. (1998). Using response-time constraints to control for differential speededness in adaptive testing (Research Report 98-06). Enschede, The Netherlands: University of Twente, Faculty of Educational Science and Technology, Department of Measurement and Data Analysis.
van der Linden, W. J., & van Krimpen-Stoop, E. M. L. A.. (2001). Using response times to detect aberrant behavior in computerized adaptive testing. In Paper presented at the annual meeting of the National Council on Measurement in Education. Seattle WA.
van der Linden, W. J., & van Krimpen-Stoop, E. M. L. A.. (2000). Using response times to detect aberrant behavior in computerized adaptive testing (Research Report 00-09). Enschede, The Netherlands: University of Twente, Faculty of Educational Science and Technology, Department of Measurement and Data Analysis.
van der Linden, W. J. (2008). Using response times for item selection in adaptive testing. Journal of Educational and Behavioral Statistics, 33, 5–20.
Veldkamp, B. P., Matteucci, M., & de Jong, M. G.. (2013). Uncertainties in the Item Parameter Estimates and Robust Automated Test Assembly. Applied Psychological Measurement, 37, 123-139. doi:10.1177/0146621612469825

Pages