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References
Angoff, W.H. (1971). Scales, norms, and equivalent scores. In R.L. Thorndike (ed.), Educational measurement (2nd ed., pp. 508–600). Washington DC: American Council of Education.
Birnbaum, A. (1968). Some latent trait models. In F.M. Lord & M.R. Novick (Eds.), Statistical theories of mental test scores. Addison-Wesley: Reading (Mass.).
Chang, H.-H., & Stout, W.F. (1993). The asymptotic posterior normality of the latent trait in an IRT model. Psychometrika, 58, 37–52.
Coombs, C.H., Dawes, R.M., Tversky, A. (1970). Mathematical psychology: An elementary introduction. Englewood Cliffs, New Jersey: Prentice-Hall Inc.
DeGroot, M.H. (1970). Optimal statistical decisions. New York: McGraw-Hill.
De Gruijter, D.N.M., & Hambleton, R.K. (1984). On problems encountered using decision theory to set cutoff scores. Applied Psychological Measurement, 8, 1–8.
Ferguson, R.L. (1969). The development, implementation, and evaluation of a computer-assisted branched test for a program of individually prescribed instruction. Unpublished doctoral dissertation, University of Pittsburgh, Pittsburgh PA.
Huynh, H. (1980). A nonrandomized minimax solution for passing scores in the binomial error model. Psychometrika, 45, 167–182.
Keeney, D., & Raiffa, H. (1976). Decisions with multiple objectives: Preferences and value trade-offs. New York: John Wiley and Sons.
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 test theory and computerized adaptive testing (pp. 257–283). New York: Academic Press.
Kolen, M.J., & Brennan, R.L. (1995). Test equating. New York: Springer.
Lehmann, E.L. (1986). Testing statistical hypothesis, (second edition). New York: Wiley.
Lewis, C., & Sheehan, K. (1990). Using Bayesian decision theory to design a computerized mastery test. Applied Psychological Measurement, 14, 367–386.
Lord, F.M. (1980). Applications of item response theory to practical testing problems. Hillsdale, N.J., Erlbaum.
Luce, R.D., & Raiffa, H. (1957). Games and decisions. New York: John Wiley and Sons.
McDonald, R.P. (1997). Normal-ogive multidimensional model. In W.J. van der Linden and R.K. Hambleton (Eds.). Handbook of modern item response theory. (pp. 257–269). New York: Springer.
Rasch, G. (1960). Probabilistic models for some intelligence and attainment tests. Copenhagen: Danish Institute for Educational Research.
Reckase, M.D. (1983). A procedure for decision making using tailored testing. In D.J. Weiss (Ed.): New horizons in testing: Latent trait test theory and computerized adaptive testing (pp. 237–255). New York: Academic Press.
Reckase, M.D. (1997). A linear logistic multidimensional model for dichotomous item response data. In W.J. van der Linden and R.K. Hambleton (Eds.). Handbook of modern item response theory. (pp. 271–286). New York: Springer.
Sheehan, K., & Lewis, C. (1992). Computerized mastery testing with non-equivalent test lets. Applied Psychological Measurement, 16, 65–76.
Smith, R.L., & Lewis, C. (1995). A Bayesian computerized mastery model with multiple cut scores. Paper presented at the annual meeting of the National Council on Measurement in Education, San Francisco, CA, April.
Spray, J.A., & Reckase, M.D. (1996). Comparison of SPRT and sequential Bayes procedures for classifying examinees into two categories using a computerized test. Journal of Educational and Behavioral Statistics, 21, 405–414.
van der Linden, W.J. (1981). Decision models for use with criterion-referenced tests. Applied Psychological Measurement, 4, 469–492.
van der Linden, W.J. (1990), Applications of decision theory to test-based decision making. In R.K. Hambleton & J.N. Zaal (Eds.): New developments in testing: Theory and applications, 129–155. Boston: Kluwer.
van der Linden, W.J. (1998). Bayesian item selection criteria for adaptive testing. Psychometrika, 63, 201–216.
van der Linden, W.J., & Mellenbergh, G.J. (1977). Optimal cutting scores using a linear loss function. Applied Psychological Measurement, 1, 593–599.
van der Linden, W.J., & Vos, H.J. (1996). A compensatory approach to optimal selection with mastery scores. Psychometrika, 61, 155–172.
Verhelst, N.D., Glas, C.A.W. & van der Sluis, A. (1984). Estimation problems in the Rasch model: The basic symmetric functions. Computational Statistics Quarterly, 1, 245–262.
Vos, H.J. (1997a). Simultaneous optimization of quota-restricted selection decisions with mastery scores. British Journal of Mathematical and Statistical Psychology, 50, 105–125.
Vos, H.J. (1997b). A simultaneous approach to optimizing treatment assignments with mastery scores. Multivariate Behavioral Research, 32, 403–433.
Vos, H.J. (1999). Applications of Bayesian decision theory to sequential mastery testing. Journal of Educational and Behavioral Statistics, 24, 271–292.
Wald, A. (1947). Sequential analysis. New York: Wiley.
Weiss, D.J., & Kingsbury, G.G. (1984). Application of computerized adaptive testing to educational problems. Journal of Educational Measurement, 21, 361–375.
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Vos, H.J., Glas, G.A. (2000). Testlet-Based Adaptive Mastery Testing. In: van der Linden, W.J., Glas, G.A. (eds) Computerized Adaptive Testing: Theory and Practice. Springer, Dordrecht. https://doi.org/10.1007/0-306-47531-6_15
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DOI: https://doi.org/10.1007/0-306-47531-6_15
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