The Use of an Identifiability-Based Strategy for the Interpretation of Parameters in the 1PL-G and Rasch Models

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dc.contributor.authorFarina, Paula
dc.contributor.authorGonzalez, Jorge
dc.contributor.authorSan Martin, Ernesto
dc.date.accessioned2025-01-23T21:15:07Z
dc.date.available2025-01-23T21:15:07Z
dc.date.issued2019
dc.description.abstractUsing 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.
dc.fuente.origenWOS
dc.identifier.doi10.1007/s11336-018-09659-w
dc.identifier.eissn1860-0980
dc.identifier.issn0033-3123
dc.identifier.urihttps://doi.org/10.1007/s11336-018-09659-w
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/101068
dc.identifier.wosidWOS:000467158100009
dc.issue.numero2
dc.language.isoen
dc.pagina.final528
dc.pagina.inicio511
dc.revistaPsychometrika
dc.rightsacceso restringido
dc.subjectparameter interpretation
dc.subjectidentifiability
dc.subjectIRT models
dc.titleThe Use of an Identifiability-Based Strategy for the Interpretation of Parameters in the 1PL-G and Rasch Models
dc.typeartículo
dc.volumen84
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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