@article {199,
	title = {Computerized adaptive testing for polytomous motivation items: Administration mode effects and a comparison with short forms},
	journal = {Applied Psychological Measurement},
	volume = {31},
	number = {5},
	year = {2007},
	note = {10.1177/0146621606297314Journal; Peer Reviewed Journal; Journal Article},
	pages = {412-429},
	abstract = {In a randomized experiment (n=515), a computerized and a computerized adaptive test (CAT) are compared. The item pool consists of 24 polytomous motivation items. Although items are carefully selected, calibration data show that Samejima{\textquoteright}s graded response model did not fit the data optimally. A simulation study is done to assess possible consequences of model misfit. CAT efficiency was studied by a systematic comparison of the CAT with two types of conventional fixed length short forms, which are created to be good CAT competitors. Results showed no essential administration mode effects. Efficiency analyses show that CAT outperformed the short forms in almost all aspects when results are aggregated along the latent trait scale. The real and the simulated data results are very similar, which indicate that the real data results are not affected by model misfit. (PsycINFO Database Record (c) 2007 APA ) (journal abstract)},
	keywords = {2220 Tests \& Testing, Adaptive Testing, Attitude Measurement, computer adaptive testing, Computer Assisted Testing, items, Motivation, polytomous motivation, Statistical Validity, Test Administration, Test Forms, Test Items},
	isbn = {0146-6216},
	author = {Hol, A. M. and Vorst, H. C. M. and Mellenbergh, G. J.}
}
@article {336,
	title = {Computerized adaptive testing with the generalized graded unfolding model},
	journal = {Applied Psychological Measurement},
	volume = {25},
	number = {2},
	year = {2001},
	pages = {177-196},
	abstract = {Examined the use of the generalized graded unfolding model (GGUM) in computerized adaptive testing. The objective was to minimize the number of items required to produce equiprecise estimates of person locations. Simulations based on real data about college student attitudes toward abortion and on data generated to fit the GGUM were used. It was found that as few as 7 or 8 items were needed to produce accurate and precise person estimates using an expected a posteriori procedure. The number items in the item bank (20, 40, or 60 items) and their distribution on the continuum (uniform locations or item clusters in moderately extreme locations) had only small effects on the accuracy and precision of the estimates. These results suggest that adaptive testing with the GGUM is a good method for achieving estimates with an approximately uniform level of precision using a small number of items. (PsycINFO Database Record (c) 2005 APA )},
	keywords = {Attitude Measurement, College Students computerized adaptive testing, Computer Assisted Testing, Item Response, Models, Statistical Estimation, Theory},
	author = {Roberts, J. S. and Lin, Y. and Laughlin, J. E.}
}
