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ERIC Number: ED255541
Record Type: RIE
Publication Date: 1984-Dec
Pages: 25
Abstractor: N/A
Reference Count: 0
Fitting Item Characteristic Curves with Spline Functions. [Program Statistics Research Technical Report Series].
Winsberg, Suzanne; And Others
In most item response theory models a particular mathematical form is assumed for all item characteristic curves, e.g., a logistic function. It could be desirable, however, to estimate the shape of the item characteristic curves without prior restrictive assumptions about its mathematical form. We have developed a practical method of estimating the shape of item response functions leading to smooth flexible functions and numerically stable calculations. In our approach the probability of success of an item is represented as a monotone function of the ability evaluated by the item. The function is represented as a monotone spline. We use the technique developed by Bock and Aitkin (1981) for marginal maximum likelihood estimation of the item parameters. Examples of real and artificial data are presented. (Author)
Publication Type: Reports - Research
Education Level: N/A
Audience: Researchers
Language: English
Sponsor: Air Force Human Resources Lab., Brooks AFB, TX.; Natural Sciences and Engineering Research Council, Ottawa (Ontario).
Authoring Institution: Educational Testing Service, Princeton, NJ. Program Statistics Research Project.
Identifiers: Item Characteristic Function; Monotone Splines