Rasch Models in Health 2012
DOI: 10.1002/9781118574454.ch2
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Rasch Models for Ordered Polytomous Items

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Cited by 31 publications
(18 citation statements)
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“…By tradition, many questionnaires are developed on the basis of the expertise of professionals, with the risk of not targeting what is important from a patient perspective. 74 Consequently, what this study contributes and the main strength of this project is that we have chosen to base our PROM development on the very perspective of the patients. Also, we have gathered material for item generation based on the verbal phrasing of the target group.…”
Section: Discussionmentioning
confidence: 99%
“…By tradition, many questionnaires are developed on the basis of the expertise of professionals, with the risk of not targeting what is important from a patient perspective. 74 Consequently, what this study contributes and the main strength of this project is that we have chosen to base our PROM development on the very perspective of the patients. Also, we have gathered material for item generation based on the verbal phrasing of the target group.…”
Section: Discussionmentioning
confidence: 99%
“…Construct validity was investigated using the polytomous Rasch Model ( Masters, 1982 ), which is an item response model for ordinal data where the item parameters (i.e., item difficulty) are measured on the same scale as the person parameters (i.e., person ability) of the latent trait ( Mesbah & Kreiner, 2013 ). In this study, an item reflecting a symptom of severe depression is expected to have a high item difficulty and is therefore less likely to be endorsed.…”
Section: Methodsmentioning
confidence: 99%
“…Fischer (1977Fischer ( , 1991Fischer ( , 1995) used a similar model for measurement of change and was the first to point out that polytomous Rasch items could be reparameterized as power series distributed variables from which it follows that Rasch models can be regarded as multivariate Leunbach models. Recently, Mesbah and Kreiner (2013) also elaborated on the representation of polytomous items as power series distribution, a feature which has been important for the implementation of Rasch analyses in DIGRAM. Kreiner and Christensen (2007) showed that the total score over items from loglinear Rasch models with locally dependent items also has power series distributed variables from which it follows that Leunbach's model also may apply for scores over locally dependent items.…”
Section: Conclusion and Discussionmentioning
confidence: 99%