2014
DOI: 10.1016/j.measurement.2013.12.019
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A scale purification procedure for evaluation of differential item functioning

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Cited by 12 publications
(14 citation statements)
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“…A scale purification procedure that involves assigning group-specific parameters to items flagged for DIF was used to model between country differences in response behavior [2326]. This is an iterative procedure in which the item with the largest cross-cultural DIF according to the LM test is assigned group-specific items parameters first, and the model is rerun to see if bias in other items persists [18]. Iterations were stopped once the fit of the model could no longer be improved.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…A scale purification procedure that involves assigning group-specific parameters to items flagged for DIF was used to model between country differences in response behavior [2326]. This is an iterative procedure in which the item with the largest cross-cultural DIF according to the LM test is assigned group-specific items parameters first, and the model is rerun to see if bias in other items persists [18]. Iterations were stopped once the fit of the model could no longer be improved.…”
Section: Methodsmentioning
confidence: 99%
“…As long as there are sufficient numbers of DIF free items, the different language versions will still be in the same IRT metric. Modeling DIF in this way is an effective way to adjust the scores for DIF and preserve comparability of scores [18]. The impact of cross-cultural DIF on the comparability of the raw scores across different language versions of the PROM can be evaluated by examining the distance between an item’s unadjusted and DIF adjusted ICF’s on the latent variable or equivalently the differences between the adjusted and unadjusted predicted scale scores [19].…”
Section: Introductionmentioning
confidence: 99%
“…Because these statistics have been shown to have high “false alarm” rates as sample size goes up [ 45 ], items were flagged for DIF or lack of fit in case of a significant LM test and > ± 0.05, as recommended by Glas and Falcón. DIF affected items were assigned subgroup item parameters [ 46 ].…”
Section: Methodsmentioning
confidence: 99%
“…For instance, the local independence of practices and farmers is violated when systematic groups of sample farmers respond differently to practices, a condition known as differential item functioning (DIF). DIF occurs when different sub-groups of farmers (for example males and females) have different probabilities of engaging in a behaviour (Karami 2012;Khalid and Glas 2013;Opariuc-Dan et al, 2017). This occurs either because the behaviour is technically biased towards one group, or the groups belong to different attitude distributions (Briggs, 2008;Karami, 2012;Opariuc-Dan et al, 2017).…”
Section: Assessment Of Farmers' Attitudes: Classical Versus Behavioural Approachmentioning
confidence: 99%