2015
DOI: 10.4324/9781315814698
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Applying the Rasch Model

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Cited by 825 publications
(177 citation statements)
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“…The Rasch model (i.e., the one-parameter logistic model) was first described by Georg Rasch (1960), and refers to an item response model with the premise that all items in the test have the same discrimination, implying that only item difficulty can vary (Bond & Fox, 2007;Thomas, 2011). The Rasch model was originally developed as a unidimensional latent variable model for handling dichotomous data (i.e., responses are coded as 1 if correct and 0 if incorrect) (Bond & Fox, 2007;Rasch, 1960).…”
Section: Discussionmentioning
confidence: 99%
“…The Rasch model (i.e., the one-parameter logistic model) was first described by Georg Rasch (1960), and refers to an item response model with the premise that all items in the test have the same discrimination, implying that only item difficulty can vary (Bond & Fox, 2007;Thomas, 2011). The Rasch model was originally developed as a unidimensional latent variable model for handling dichotomous data (i.e., responses are coded as 1 if correct and 0 if incorrect) (Bond & Fox, 2007;Rasch, 1960).…”
Section: Discussionmentioning
confidence: 99%
“…Já o desajuste de quatro itens ao Modelo, com valores de correlação item-total iguais a 0,00 para os itens 27 (fumo maconha) e 28 (fumo crack), e menor que 2 para os itens 12 e 25 (fumo cigarro), apontou para a importância de se rever, em estudos futuros, a necessidade de se manter ou não esses itens, já que o valor da correlação item-total próximo de zero pode significar que eles não se relacionam ao construto medido 30 .…”
Section: Discussionunclassified
“…No caso da EISPE, os itens considerados mais fáceis representaram níveis de menor intensidade de sintomas psicopatológicos do que a média do conjunto de itens, e os mais difíceis representaram índices mais intensos da sintomatologia observada 30 .…”
Section: Discussionunclassified
“…Question items that are outside the acceptable infit range do not fit the criterion of unidimensionality and could indicate that these items are evaluated on another criterion other than "the degree to which the item is more likely to be chosen as an important skill". Including items with infit values higher than 2 is considered to give too haphazard a response pattern, due to large variations and can degrade the survey's measurement quality due to these items underfitting the model (Bond & Fox, 2007). The pathway plot, on the left of Figure 2 indicated that Q2 (2.2 logits) "To show ability to handle difficulties in research or other pro- fessional activities in an appropriate way", Q5 (3.7 logits) "To write (report) fluently and efficiently scientific publications", Q6 (2.1 logits) "To defend own papers in scientific conferences" and Q31(-2.1) "To apply effective project management through the setting of research goals, intermediate milestones and prioritisation of activities" were all outside the acceptable infit range for the industry group.…”
Section: Rasch Analysis For Each Group Without the Removal Of Bias Itemsmentioning
confidence: 99%
“…Bond and Fox (2007) have indicated that the infit statistic is used as it "gives relatively more weight to the performances of persons closer to the item value" and that "persons whose ability is close to the item's difficulty should give a more sensitive insight into item's performance". Question items that are outside the acceptable infit range do not fit the criterion of unidimensionality and could indicate that these items are evaluated on another criterion other than "the degree to which the item is more likely to be chosen as an important skill".…”
Section: Rasch Analysis For Each Group Without the Removal Of Bias Itemsmentioning
confidence: 99%