ArticlePsychometrika2019
The Use of an Identifiability-Based Strategy for the Interpretation of Parameters in the 1PL-G and Rasch Models.
Article in Psychometrika, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- On the Identifiability of 3- and 4-Parameter Item Response Theory Models From the Perspective of Knowledge Space Theory.Psychometrika · 2024Article
- Maximization of Some Types of Information for Unidentified Item Response Models with Guessing Parameters.Psychometrika · 2021Article
- Bayesian Modal Estimation for the One-Parameter Logistic Ability-Based Guessing (1PL-AG) Model.Applied psychological measurement · 2021Article
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Authors and funding
3 authors.
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Abstract
Using the well-known strategy in which parameters are linked to the sampling distribution via an identification analysis, we offer an interpretation of the item parameters in the one-parameter logistic with guessing model (1PL-G) and the nested Rasch model. The interpretations are based on measures of informativeness that are defined in terms of odds of correctly answering the items. It is shown that the interpretation of what is called the difficulty parameter in the random-effects 1PL-G model differs from that of the item parameter in a random-effects Rasch model. It is also shown that the traditional interpretation of the guessing parameter in the 1PL-G model changes, depending on whether fixed-effects or random-effects versions of both models are considered.
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