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- Title
An Improved Inferential Procedure to Evaluate Item Discriminations in a Conditional Maximum Likelihood Framework.
- Authors
Draxler, Clemens; Kurz, Andreas; Gürer, Can; Nolte, Jan Philipp
- Abstract
A modified and improved inductive inferential approach to evaluate item discriminations in a conditional maximum likelihood and Rasch modeling framework is suggested. The new approach involves the derivation of four hypothesis tests. It implies a linear restriction of the assumed set of probability distributions in the classical approach that represents scenarios of different item discriminations in a straightforward and efficient manner. Its improvement is discussed, compared to classical procedures (tests and information criteria), and illustrated in Monte Carlo experiments as well as real data examples from educational research. The results show an improvement of power of the modified tests of up to 0.3.
- Subjects
RASCH models; DISTRIBUTION (Probability theory); EDUCATION research
- Publication
Journal of Educational & Behavioral Statistics, 2024, Vol 49, Issue 3, p403
- ISSN
1076-9986
- Publication type
Article
- DOI
10.3102/10769986231183335