An Empirical Study for the Statistical Adjustment of Rater Bias

Yıl 2019, , 193 - 201, 15.07.2019

Mustafa İlhan

https://doi.org/10.21449/ijate.533517

Cited By: 2

Öz

This
study investigated the effectiveness of statistical adjustments applied to
rater bias in many-facet Rasch analysis. Some changes were first made in the
dataset that did not include rater ×
examinee bias to cause to have rater
× examinee bias. Later, bias adjustment was applied to rater bias included
in the data file, and the effectiveness of the statistical adjustment was
further examined. The outcomes pertaining to the datasets with and without
bias, and to which the bias adjustment was applied, were compared. It was
concluded that diversities created by rater
× examinee bias in examinees’ ability estimation, item difficulty indices
and measures of rater severity and leniency were, to a large extent, eliminated
by bias adjustment. This result indicates that the bias adjustment using
many-facet Rasch analysis is a viable way to control rater bias.

Anahtar Kelimeler

Bias adjustment, Rater bias, Many facet Rasch model

An Empirical Study for the Statistical Adjustment of Rater Bias

Öz

This study investigated the effectiveness of statistical adjustments applied to rater bias in many-facet Rasch analysis. Some changes were first made in the dataset that did not include rater × examinee bias to cause to have rater × examinee bias. Later, bias adjustment was applied to rater bias included in the data file, and the effectiveness of the statistical adjustment was further examined. The outcomes pertaining to the datasets with and without bias, and to which the bias adjustment was applied, were compared. It was concluded that diversities created by rater × examinee bias in examinees’ ability estimation, item difficulty indices and measures of rater severity and leniency were, to a large extent, eliminated by bias adjustment. This result indicates that the bias adjustment using many-facet Rasch analysis is a viable way to control rater bias.

Anahtar Kelimeler

Bias adjustment, Rater bias, Many facet Rasch model

Kaynakça

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