Open AccessLINKING PARAMETER ESTIMATES DERIVED FROM AN ITEM RESPONSE MODEL THROUGH SEPARATE CALIBRATIONS
Author(s) -
Haberman Shelby J.
Publication year - 2009
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.2333-8504.2009.tb02197.x
Subject(s) - polytomous rasch model , item response theory , pairwise comparison , statistics , logistic regression , basis (linear algebra) , econometrics , mathematics , regression analysis , psychometrics , geometry
A regression procedure is developed to link simultaneously a very large number of item response theory (IRT) parameter estimates obtained from a large number of test forms, where each form has been separately calibrated and where forms can be linked on a pairwise basis by means of common items. An application is made to forms in which a two‐parameter logistic model is applied to dichotomous items and a general partial credit model is applied to polytomous items.