@article {358,
	title = {Developments in measurement of persons and items by means of item response models},
	journal = {Behaviormetrika},
	volume = {28},
	number = {1},
	year = {2001},
	pages = {65-94},
	abstract = {This paper starts with a general introduction into measurement of hypothetical constructs typical of the social and behavioral sciences. After the stages ranging from theory through operationalization and item domain to preliminary test or questionnaire have been treated, the general assumptions of item response theory are discussed. The family of parametric item response models for dichotomous items is introduced and it is explained how parameters for respondents and items are estimated from the scores collected from a sample of respondents who took the test or questionnaire. Next, the family of nonparametric item response models is explained, followed by the 3 classes of item response models for polytomous item scores (e.g., rating scale scores). Then, to what degree the mean item score and the unweighted sum of item scores for persons are useful for measuring items and persons in the context of item response theory is discussed. Methods for fitting parametric and nonparametric models to data are briefly discussed. Finally, the main applications of item response models are discussed, which include equating and item banking, computerized and adaptive testing, research into differential item functioning, person fit research, and cognitive modeling. (PsycINFO Database Record (c) 2005 APA )},
	keywords = {Cognitive, Computer Assisted Testing, Item Response Theory, Models, Nonparametric Statistical Tests, Processes},
	author = {Sijtsma, K.}
}
