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An Alternative to the 3PL: Using Asymmetric Item Characteristic Curves to Address Guessing Effects
Author(s) -
Lee Sora,
Bolt Daniel M.
Publication year - 2018
Publication title -
journal of educational measurement
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.917
H-Index - 47
eISSN - 1745-3984
pISSN - 0022-0655
DOI - 10.1111/jedm.12165
Subject(s) - heteroscedasticity , residual , item response theory , econometrics , statistics , test (biology) , computer science , statistical hypothesis testing , psychology , mathematics , psychometrics , algorithm , paleontology , biology
Both the statistical and interpretational shortcomings of the three‐parameter logistic (3PL) model in accommodating guessing effects on multiple‐choice items are well documented. We consider the use of a residual heteroscedasticity (RH) model as an alternative, and compare its performance to the 3PL with real test data sets and through simulation analyses. Our results suggest advantages to the RH approach, including closer fit to real data, more interpretable parameter estimates, and greater psychological plausibility.