2017
DOI: 10.18222/eae.v0ix.3385
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Contribuições ao estudo do Modelo de Crédito Parcial Generalizado

Abstract: RESUMO Este artigo aborda os mais importantes aspectos inferenciais do Modelo de Crédito Parcial Generalizado (MCPG), da Teoria da Resposta ao Item (TRI PALABRAS CLAVE CONTRIBUTIONS TO THE STUDY OF GENERALIZED PARTIAL CREDIT MODEL ABSTRACT This article covers the most important inferential aspects of the Generalized Partial Credit Model (GPCM) of the Item Response Theory (IRT). It presents a study on one of the main difficulties encountered in the process of estimation and inference of the IRT models, which is… Show more

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Cited by 1 publication
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“…28,33,45,66 In the model, the respondent earns more credit (would have a higher value for his latent trait) as measured that your answer is closer to the more complete answer. 78 Among the selected studies, 19 of them performed the analysis of the differential function of the item (DFI) in order to verify if the probability of agreement or agreement with the item varied among groups of respondents by sex, age, educational level, geographical location and/ or level of disease severity. 32,34,39,48,50,57,62,64,67,70 The use of DFI in public health and, consequently, by Nursing professionals, may allow the investigation of variables that influence the health assessments, allowing to highlight the vulnerabilities or social determinants of health.…”
Section: Ml1pmentioning
confidence: 99%
“…28,33,45,66 In the model, the respondent earns more credit (would have a higher value for his latent trait) as measured that your answer is closer to the more complete answer. 78 Among the selected studies, 19 of them performed the analysis of the differential function of the item (DFI) in order to verify if the probability of agreement or agreement with the item varied among groups of respondents by sex, age, educational level, geographical location and/ or level of disease severity. 32,34,39,48,50,57,62,64,67,70 The use of DFI in public health and, consequently, by Nursing professionals, may allow the investigation of variables that influence the health assessments, allowing to highlight the vulnerabilities or social determinants of health.…”
Section: Ml1pmentioning
confidence: 99%