Open AccessTHE VARIANCE OF RASCH ABILITY ESTIMATES FROM PARTIALLY‐KNOWN ITEM PARAMETERS
Author(s) -
Mislevy Robert J.
Publication year - 1992
Publication title -
ets research report series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.235
H-Index - 5
ISSN - 2330-8516
DOI - 10.1002/j.2333-8504.1992.tb01439.x
Subject(s) - rasch model , variance (accounting) , statistics , item response theory , polytomous rasch model , sample (material) , econometrics , mathematics , sampling (signal processing) , calibration , psychology , term (time) , item analysis , logistic regression , psychometrics , computer science , chemistry , physics , accounting , filter (signal processing) , chromatography , quantum mechanics , business , computer vision
A closed‐form approximation is given for the variance of examinee proficiency estimates in the Rasch model for dichotomous items, under the condition that only estimates, rather than true values, of item difficulty parameters are available. The term that must be added to the usual response‐sampling variance is inversely proportional to both the number of examinees in the item calibration sample and the length of the test. Illustrative numerical values suggest that the impact of uncertainty about Rasch item parameters on subsequent estimates of examinee proficiencies is less than has been observed in the 2‐ and 3‐parameter logistic IRT models.