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differential item functioning
Examining differential item functioning due to item difficulty and alternative attractiveness
      
This paper discusses how the approach to differential item functioning presented by Thissen, Steinberg, and Wainer can be implemented for the PARELLA model.
      
In addition, conditions under the general CLORs model are studied for the investigation of differential item functioning (DIF) by means of the Mantel-Haenszel procedure.
      
Through differential item functioning (DIF)statistical approach, possible gender biases were analyzed.
      
The items that exhibited consistent differential item functioning in relation to language during pre-testing are reviewed in order to discuss the linguistic factors that could affect such behaviour.
      
Objective: In this article, psychometric properties both of the total RAND-36 and of its subscales, such as unidimensionality, differential item functioning (DIF or item bias), homogeneity and reliabilities, are examined.
      
Use of differential item functioning analysis to assess the equivalence of translations of a questionnaire
      
Differential item functioning (DIF) analysis can be used to test whether translations of items in multi-item scales are equivalent to the original.
      
Psychometric properties were examined using differential item functioning (DIF) which is the presence of systematic group differences in certain response items independent of the trait being measured.
      
Assessment of Differential Item Functioning for Demographic Comparisons in the MOS SF-36 Health Survey
      
Objective: To investigate whether items of the Medical Outcomes Study (MOS) 36-Item Short-Form Health Status Survey (SF-36) exhibited differential item functioning (DIF) with respect to age, education, race, and gender.
      
Standard item fit statistics and analysis of differential item functioning (DIF) were used to check model-data fit.
      
Tests of differential item functioning (DIF) over time showed that one item increased in severity.
      
Comparing translations of the EORTC QLQ-C30 using differential item functioning analyses
      
Differential item functioning (DIF) analyses were conducted using logistic regression to identify items which, after controlling for subscale, were answered differently by language of administration.
      
Response to Commentary on Comparing translations of the EORTC QLQ-C30 using differential item functioning analyses
      
Commentary on comparing translations of the EORTC QLQ-C30 using differential item functioning analyses
      
Rapid detection of differential item functioning in assessments of health-related quality of life: The Functional Assessment of
      
The use of differential item functioning analyses to identify cultural differences in responses to the EORTC QLQ-C30
      
No differential item functioning was observed for age, gender, diagnosis, extent of disease or social deprivation.
      
 

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