The Use of an Identifiability-Based Strategy for the Interpretation of Parameters in the 1PL-G and Rasch Models.
Psychometrika
; 84(2): 511-528, 2019 06.
Article
em En
| MEDLINE
| ID: mdl-30673968
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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Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Psicometria
/
Modelos Estatísticos
Tipo de estudo:
Risk_factors_studies
Limite:
Humans
Idioma:
En
Revista:
Psychometrika
Ano de publicação:
2019
Tipo de documento:
Article
País de afiliação:
Chile
País de publicação:
Estados Unidos