This study examines the effect of two different techniques of bias reduction in the case of the fixed persons-fixed items formulation of the Rasch model. A first approach can be considered "corrective", because it consists simply in correcting ex-post the joint maximum likelihood estimates by a factor (m-1)/m, were m represents the number of items and/or persons. A second approach, which is an application of a quite general formula for reducing the maximum likelihood estimation bias, can be considered "preventive", because it arises from a modification of the score function. A comparative study of these two techniques was done using simulated data.
|Titolo:||Comparison of two bias reduction techniques for the Rasch model|
|Data di pubblicazione:||2012|
|Citazione:||Comparison of two bias reduction techniques for the Rasch model / Bertoli-Barsotti L; Punzo A. - In: ELECTRONIC JOURNAL OF APPLIED STATISTICAL ANALYSIS. - ISSN 2070-5948. - 5:3(2012), pp. 360-366.|
|Appare nelle tipologie:||1.1 Articolo in rivista|