Accession Number : ADA131369

Title :   Information Loss Caused by Noise in Models for Dichotomous Items.

Descriptive Note : Technical rept.,


Personal Author(s) : Samejima,Fumiko

PDF Url : ADA131369

Report Date : 29 Nov 1982

Pagination or Media Count : 66

Abstract : Because of the recent popularity of the three-parameter logistic model among the researchers who apply latent trait theory, it will be worthwhile to investigate the effect of noise accommodate in different models. In this paper, four types of models on the dichotomous response level, Types A, B, C and D, are considered. Type A does not include noise, and the other three types do. Observations are made as to how much total item information is lost because of the noise, how the item response information functions are affected, how the speed of convergence to the normality of the conditional distribution of the maximum likelihood estimate of ability, given a specific ability level, is affected, and so forth. (Author)

Descriptors :   *Mathematical models, *Information theory, *Losses, Noise, Parameters, Logistics, Response, Distribution functions, Maximum likelihood estimation, Tables(Data)

Subject Categories : Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE