@article {98,
	title = {A simulation and comparison of flexilevel and Bayesian computerized adaptive testing},
	journal = {Journal of Educational Measurement},
	volume = {27},
	number = {3},
	year = {1990},
	pages = {227-239},
	abstract = {Computerized adaptive testing (CAT) is a testing procedure that adapts an examination to an examinee{\textquoteright}s ability by administering only items of appropriate difficulty for the examinee. In this study, the authors compared Lord{\textquoteright}s flexilevel testing procedure (flexilevel CAT) with an item response theory-based CAT using Bayesian estimation of ability (Bayesian CAT). Three flexilevel CATs, which differed in test length (36, 18, and 11 items), and three Bayesian CATs were simulated; the Bayesian CATs differed from one another in the standard error of estimate (SEE) used for terminating the test (0.25, 0.10, and 0.05). Results showed that the flexilevel 36- and 18-item CATs produced ability estimates that may be considered as accurate as those of the Bayesian CAT with SEE = 0.10 and comparable to the Bayesian CAT with SEE = 0.05. The authors discuss the implications for classroom testing and for item response theory-based CAT.},
	keywords = {computerized adaptive testing},
	author = {De Ayala, R. J., and Dodd, B. G. and Koch, W. R.}
}
