Efficient nonparametric approaches for estimating the operating characteristics of discrete item responses |
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Authors: | Fumiko Samejima |
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Affiliation: | (1) University of Tennessee, 405 Austin Peay Bldg., 37996-0900 Knoxville, Tennessee |
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Abstract: | Rationale and the actual procedures of two nonparametric approaches, called Bivariate P.D.F. Approach and Conditional P.D.F. Approach, for estimating the operating characteristic of a discrete item response, or the conditional probability, given latent trait, that the examinee's response be that specific response, are introduced and discussed. These methods are featured by the facts that: (a) estimation is made without assuming any mathematical forms, and (b) it is based upon a relatively small sample of several hundred to a few thousand examinees.Some examples of the results obtained by the Simple Sum Procedure and the Differential Weight Procedure of the Conditional P.D.F. Approach are given, using simulated data. The usefulness of these nonparametric methods is also discussed.This research was mostly supported by the Office of Naval Research (N00014-77-C-0360, N00014-81-C-0569, N00014-87-K-0320, N00014-90-J-1456). |
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Keywords: | latent trait models constant information model information functions ability estimation asymptotic normality test bias maximum likelihood estimation |
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