Abstract

This study assessed the adjustment of the Rasch model concerning unidimensionality of Raven's Colored Standard Progressive Matrices. Four hundred and forty-one (441) elementary school children, of both genders, attending first to fourth grade were investigated. Considering that residuals may be enough to violate the intrinsic unidimensionality of the items, residual principal component analysis was used to assess the possibility of this violation. Items with higher factorial loading relating to the positive and negative dimensions on the first factor were selected, in respect to the test as a whole and to each subset in particular. These items were re-analyzed with the Rasch model within each data group. Then the positive and negative factor measures were correlated. Results suggested the possibility of other dimensions besides those extracted by Rasch model based on the test and subset B, though the correlation coefficients of the other subsets were close to rejection.

Highlights

  • This study assessed the adjustment of the Rasch model concerning unidimensionality of Raven's Colored Standard Progressive Matrices

  • enough to violate the intrinsic unidimensionality of the items

  • residual principal component analysis was used to assess the possibility of this violation

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Summary

Universidade São Francisco

Resumo Este estudo avaliou o ajuste do modelo Rasch quanto à unidimensionalidade das Matrizes Progressivas Coloridas de Raven. Foram estudadas 441 crianças de ambos os sexos, de 1a a 4a série do ensino fundamental. Foram selecionados os itens de maior saturação em relação à dimensão positiva e negativa do primeiro fator, em relação ao teste como um todo e a cada série em particular. Esses itens foram novamente analisados pelo modelo de Rasch, separadamente, e correlacionadas as pontuações do fator positivo com o negativo. Os resultados sugeriram que o instrumento como um todo e a série B possibilitam a interpretação da existência de outra dimensão além da extraída pelo modelo de Rasch e nas outras duas séries as correlações estiveram próximas do ponto de rejeição.

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