Open AccessUSING ESTIMATED ITEM OBSERVED‐SCORE REGRESSIONS TO TEST GOODNESS‐OF‐FIT OF IRT MODELS
Author(s) -
Wingersky Marilyn S.,
Sheehan Kathleen M.
Publication year - 1986
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.2330-8516.1986.tb00178.x
Subject(s) - goodness of fit , statistics , item response theory , basis (linear algebra) , mathematics , econometrics , regression analysis , logistic regression , test (biology) , psychology , psychometrics , paleontology , geometry , biology
This paper presents an investigation of a method for assessing the goodness‐of‐fit of IRT models using estimated item‐observed score regressions. An advantage of this method is that examinees are assigned to cells on the basis of an observed quantity, their observed number‐right score. The method for assessing goodness‐of‐fit currently used assigns examinees to cells on the basis of an estimated quantity, their estimated ability. Comparisons are made between the two methods using simulated and actual data. A disadvantage of the new method is that it cannot easily handle tests where many examinees do not finish.