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Kingsbury, G. G., & Houser, R. L.. (1988). A comparison of achievement level estimates from computerized adaptive testing and paper-and-pencil testing. In Paper presented at the annual meeting of the American Educational Research Association. New Orleans LA.
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Kingsbury, G. G., & Weiss, D. J.. (1980). A comparison of adaptive, sequential, and conventional testing strategies for mastery decisions (Research Report 80-4). Minneapolis, Department of Psychology, Psychometric Methods Program, Computerized Adaptive Testing Laboratory.
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Kingsbury, G. G., & Weiss, D. J.. (1980). A comparison of ICC-based adaptive mastery testing and the Waldian probability ratio method. In . D. J. Weiss (Ed.). Proceedings of the 1979 Computerized Adaptive Testing Conference (pp. 120-139). Minneapolis MN: University of Minnesota, Department of Psychology, Psychometric Methods Program, Computerized Adaptive Testing Laboratory.
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Kingsbury, G. G., & Zara, A.. (1989). Procedures for selecting items for computerized adaptive tests. Applied Measurement in Education, 2, 359-375.
Kingsbury, G. G., & Houser, R. L.. (1993). Assessing the utility of item response models: computerized adaptive testing. Educational Measurement: Issues and Practice, 12, 21-27.
Kingsbury, G. G. (1996). Item review and adaptive testing. In Paper presented at the annual meeting of the National Council on Measurement in Education. New York.
Kingsbury, G. G., & Hauser, C.. (2004). Computer adaptive testing and the No Child Left Behind Act. In Paper presented at the annual meeting of the American Educational Research Association. San Diego CA.
PDF icon ki04-01.pdf (116.03 KB)
Kingsbury, G. G., & Weiss, D. J.. (1983). A comparison of IRT-based adaptive mastery testing and a sequential mastery testing procedure. In . D. J. Weiss (Ed.), New horizons in testing: Latent trait theory and computerized adaptive testing (pp. 1-8). New York: Academic Press.
PDF icon Kingsbury & weiss #1.pdf (642.36 KB)
Kingsbury, G. G. (2002). An empirical comparison of achievement level estimates from adaptive tests and paper-and-pencil tests. In Paper presented at the annual meeting of the American Educational Research Association. New Orleans LA.
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Kingsbury, G. G., & Weiss, D. J.. (1979). An adaptive testing strategy for mastery decisions (Research Report 79-5). Minneapolis: University of Minnesota, Department of Psychology, Psychometric Methods Program.
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Kingsbury, G. G., & Houser, R. L.. (2007). ICAT: An adaptive testing procedure to allow the identification of idiosyncratic knowledge patterns. In . D. J. Weiss (Ed.). Proceedings of the 2007 GMAC Conference on Computerized Adaptive Testing.
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Kingsbury, G. G., & Houser, R. L.. (2008). ICAT: An adaptive testing procedure for the identification of idiosyncratic knowledge patterns. Zeitschrift für Psychologie / Journal of Psychology, 216(1), 40–48.
Kingsbury, G. G. (2002). An empirical comparison of achievement level estimates from adaptive tests and paper-and-pencil tests. In annual meeting of the American Educational Research Association. New Orleans, LA. USA.
Kingsbury, G., & Zara, T.. (2017). From Blueprints to Systems: An Integrated Approach to Adaptive Testing. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University. Retrieved from https://drive.google.com/open?id=1CBaAfH4ES7XivmvrMjPeKyFCsFZOpQMJ
Kingsbury, G. G., & Houser, R. L.. (1993). A practical examination of the use of free-response questions in computerized adaptive testing. In Paper presented to the annual meeting of the American Educational Research Association: Atlanta GA.
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Kingsbury, G. G. (2011). Continuous Testing (an avenue for CAT research). In Annual Conference of the International Association for Computerized Adaptive Testing. presented at the 10/2011.
PDF icon IACAT 2011 Kingsbury Continuous Testing.pdf (74.37 KB)
Kingsbury, G. G. (1999). Standard errors of proficiency estimates in stratum scored CAT. In Paper presented at the annual meeting of the National Council on Measurement in Education. Montreal, Canada.
Kingsbury, G. G., & Houser, R. L.. (1999). Developing computerized adaptive tests for school children. In . F. Drasgow and J. B. Olson-Buchanan (Eds.), Innovations in computerized assessment (pp. 93-115). Mahwah NJ: Erlbaum.
Kingsbury, G. G., & Houser, R. L.. (1990). Assessing the utility of item response models: Computerized adaptive testing. In A paper presented to the annual meeting of the National Council of Measurement in Education. Boston MA.
Kingsbury, G. G., & Weiss, D. J.. (1981). A validity comparison of adaptive and conventional strategies for mastery testing (Research Report 81-3). Minneapolis, Department of Psychology, Psychometric Methods Program, Computerized Adaptive Testing Laboratory.
PDF icon ki81-03.pdf (1.81 MB)
Kingsbury, G. G., & Wise, S. L.. (2020). Three Measures of Test Adaptation Based on Optimal Test Information. Journal of Computerized Adaotive Testing, 8(1), 1-19. doi:10.7333/2002-0801001
PDF icon Kingsbury and Wise-Final FINAL.pdf (516.77 KB)
Kingsbury, G. G., & Weiss, D. J.. (1983). A comparison of IRT-based adaptive mastery testing and a sequential mastery testing procedure. In New horizons in testing: Latent trait test theory and computerized adaptive testing (pp. 258-283). New York, NY. USA: Academic Press.
Kingsbury, G. G. (1997). Some questions that must be addressed to develop and maintain an item pool for use in an adaptive test. In Paper presented at the annual meeting of the National Council on Measurement in Education. Chicago IL.
Kingsbury, G. G., & Zara, A.. (1999). A procedure to compare conventional and adaptive testing procedures for making single-point decisions. In Paper presented at the annual meeting of the National Council on Measurement in Education. Montreal, Canada.
Kingsbury, G. G. (2009). Adaptive item calibration: A process for estimating item parameters within a computerized adaptive test. In . D. J. Weiss (Ed.), Proceedings of the 2009 GMAC Conference on Computerized Adaptive Testing.
PDF icon cat09kingsbury.pdf (285.12 KB)
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Kirisci, L. (1992). Estimation of ability level by using only observable quantities in adaptive testing. In Paper presented at the annual meeting if the American Educational Research Association. Chicago.
Kirisci, L., & Hsu, T. - C.. (1988). A predictive analysis approach to adaptive testing. In Paper presented at the annual meeting of the American Educational Research Association. New Orleans LA.
Koch, W. R., & G., D. B.. (1986). Operational characteristics of adaptive testing procedures using partial credit scoring. In Paper presented at the annual meeting of the American Educational Research Association. San Francisco CA.
Koch, W. R., & Dodd, B. G.. (1985). Computerized adaptive attitude measurement. In Paper presented at the annual meeting of the American Educational Research Association. Chicago.
Koch, W. J., & Reckase, M. D.. (1979). Problems in application of latent-trait models to tailored testing (Research Report 79-1). Columbia MO: University of Missouri, Department of Psychology", (also presented at National Council on Measurement in Education, 1979: ERIC No. ED 177 196) note = ".
Koch, W. R., Dodd, B. G., & Fitzpatrick, S. J.. (1990). Computerized adaptive measurement of attitudes. Measurement and Evaluation in Counseling and Development, 23, 20-30.
Koch, W. R., & Patience, W. M.. (1977). Student attitudes toward tailored testing. In . D. J. Weiss (Ed.), Proceedings of the 1977 Computerized Adaptive Testing Conference. Minneapolis MN: University of Minnesota, Department of Psychology, Psychometric Methods Program.
PDF icon ko77116.pdf (684.63 KB)
Kocher, A. T. (1974). An empirical investigation of the stability and accuracy of flexilevel tests. In Annual meeting of the National Council on Measurement in Education. presented at the 03/1074, Chicago IL.
Koppel, N. B. (2000). Lagrangian relaxation for constrained curve-fitting with binary variables: Applications in educational testing. Dissertation Abstracts International Section A: Humanities and Social Sciences, 61, 1063.
Krass, I. A. (2001). Application of score information for CAT pool development and its connection with "likelihood test information. In Paper presented at the annual meeting of the National Council on Measurement in Education. Seattle WA.
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Krass, I. A. (2000). Change in distribution of latent ability with item position in CAT sequence. In Paper presented at the annual meeting of the National Council on Measurement in Education in New Orleans. LA.
PDF icon kr00-01.pdf (102.42 KB)
Krass, I. A. (1998). Application of direct optimization for on-line calibration in computerized adaptive testing. In Paper presented at the annual meeting of the National Council on Measurement in Education. San Diego CA.
PDF icon kr98-01.pdf (145.81 KB)
Krass, I. A., & Williams, B.. (2003). Calibrating CAT pools and online pretest items using nonparametric and adjusted marginal maximum likelihood methods. In Paper presented at the annual meeting of the National Council on Measurement in Education. Chicago IL.
PDF icon kr03-01.pdf (127.09 KB)
Krass, I. A. (1997). Getting more precision on computer adaptive testing. In Paper presented at the 62nd Annual meeting of Psychometric Society. University of Tennessee, Knoxville, TN.
Krass, I. A., & Thomasson, G. L.. (1999). Automated flawed item detection and graphical item used in on-line calibration of CAT-ASVAB. . In Paper presented at the annual meeting of the National Council on Measurement in Education. Montreal, Canada.
Krathwohl, D. (1959). Progress report on the sequential item test. East Lansing MI: Michigan State University, Bureau of Educational Research.
Krathwohl, D. R., & Huyser, R. J.. (1956). The sequential item test. American Psychologist, 2, 419.
Kreitzberg, C. B., & Jones, D. J.. (1980). An empirical study of a broad range test of verbal ability. Princeton NJ: Educational Testing Service.
Kreitzberg, C. B. (1978). Computerized adaptive testing: Principles and directions. Computers and Education, 2 (4), 319-329.
van Krimpen-Stoop, E. M. L. A., & Meijer, R. R.. (1998). Person fit based on statistical process control in an adaptive testing environment (Research Report 98-13). Enschede, The Netherlands: University of Twente, Faculty of Educational Science and Technology, Department of Measurement and Data Analysis.

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