@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.} } @article {97, title = {Computerized adaptive testing: A comparison of the nominal response model and the three parameter model}, journal = {Dissertation Abstracts International}, volume = {48}, number = {10-B}, year = {1988}, pages = {3148}, keywords = {computerized adaptive testing}, author = {De Ayala, R. J.,} }