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The Impact of Insufficient Effort Responses on the Order of Category Thresholds in the Polytomous Rasch Model. [PDF]
Educ Psychol MeasJin KY, Eckes T.
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Piloting Rasch model scoring of the National Eye Institute Visual Function Questionnaire in uveitis. [PDF]
J Ophthalmic Inflamm InfectGittel L +6 more
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Psychometric validation of the French version of two scales measuring general (HLS19-Q12) and navigational (HLS19-NAV) health literacy using the Rasch model. [PDF]
BMC Public HealthTouzani R +6 more
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Psychometric Properties of the Teleprimary Care Oral Health Clinical Information System (TPC-OHCIS) Questionnaire Using the Rasch Model. [PDF]
CureusIsmail S +3 more
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Evaluation & the Health Professions, 1984
The Rasch model is one of several item response theory measurement models that provides generality of measurement and linearity of scale. The former is a result of the separation of test item and person measures. Item difficulties are adjustedfor the effects of the particular group of examinees tested, and examinee scores are adjusted for the effects ...
Paul R. Kelley, Charles F. Schumacher
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The Rasch model is one of several item response theory measurement models that provides generality of measurement and linearity of scale. The former is a result of the separation of test item and person measures. Item difficulties are adjustedfor the effects of the particular group of examinees tested, and examinee scores are adjusted for the effects ...
Paul R. Kelley, Charles F. Schumacher
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2019
A category coefficient \( \kappa_{k} \) is the sum of the exceeded thresholds for response category k. The PRM can be rewritten in terms of principal components (Guttman) for the thresholds instead of the thresholds themselves. The principal component \( \lambda \) characterizes the spread of the responses, the principal component \( \eta ...
David Andrich, Ida Marais
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A category coefficient \( \kappa_{k} \) is the sum of the exceeded thresholds for response category k. The PRM can be rewritten in terms of principal components (Guttman) for the thresholds instead of the thresholds themselves. The principal component \( \lambda \) characterizes the spread of the responses, the principal component \( \eta ...
David Andrich, Ida Marais
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2007
Over the past few years, several studies have investigated and demonstrated the relationships between generalized linear mixed models (GLIMM) and item response modeling. Some benefits associated with this GLIMM-based modeling framework include the modeling of nested structure of data, such as examinees nested within schools (Kamata, 2001), of ...
Akihito Kamata, Yuk Fai Cheong
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Over the past few years, several studies have investigated and demonstrated the relationships between generalized linear mixed models (GLIMM) and item response modeling. Some benefits associated with this GLIMM-based modeling framework include the modeling of nested structure of data, such as examinees nested within schools (Kamata, 2001), of ...
Akihito Kamata, Yuk Fai Cheong
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Psychometrika, 1995
This paper discusses the application of a class of Rasch models to situations where test items are grouped into subsets and the common attributes of items within these subsets brings into question the usual assumption of conditional independence.
Wilson, Mark, Adams, Raymond J.
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This paper discusses the application of a class of Rasch models to situations where test items are grouped into subsets and the common attributes of items within these subsets brings into question the usual assumption of conditional independence.
Wilson, Mark, Adams, Raymond J.
openaire +1 more source