THE RASCH APPROACH TO "OBJECTIVE MEASUREMENT' m THE PRESENCE OF SUBJECTIVE EVALUATION FROM "JUDGES"
Educación XX1, 2012 Algunas de las actividades humanas -deporte, educación, economía, investigación, desarrollo profesional, alimentación- requieren la participación de jueces en la evaluación de aspectos que son difíciles de medir de forma directa. Como estas evaluaciones
Enrico Gori, Michela Battauz
doaj +1 more source
IRT‐based response style models and related methodology: Review and commentary
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract We provide a review and commentary on recent methodological research related to item response theory (IRT) modelling of response styles in psychological measurement. Our review describes the different categories of IRT models that have been proposed, their associated assumptions and extensions, and the varying purposes they can serve.
Daniel M. Bolt, Lionel Meng
wiley +1 more source
Impaired Parenting (00056) in Primiparous Mothers: Clinical Validation through Rasch Analysis
Aquichan, 2015 177 Impaired Parenting in Primiparous Mothers: Clinical Validation Through Rasch Analysis l Luis Carlos Orozco-Vargas and others AÑO 15 - VOL. 15 Nº 2 - CHÍA, COLOMBIA - JUNIO 2015 l 176-187 Deterioro parental (00056) en madres primíparas ...
Luis Carlos Orozco-Vargas +2 more
doaj
Rasch analysis in physics education research: Why measurement matters
Physical Review Physics Education Research, 2019 [This paper is part of the Focused Collection on Quantitative Methods in PER: A Critical Examination.] The Rasch model is a probabilistic model which describes the interaction of persons (test takers or survey respondents) with test or survey items and ...
Maja Planinic +3 more
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Using Rasch analysis to form plausible health states amenable to valuation: the development of CORE-6D from CORE-OM in order to elicit preferences for common mental health problems [PDF]
Purpose: To describe a new approach for deriving a preference-based index from a condition specific measure that uses Rasch analysis to develop health states.
Barkham, M +3 more
core +1 more source
Marker effects and examination reliability: a comparative exploration from the perspectives of generalizability theory, Rasch modelling and multilevel modelling [PDF]
, 2013 This study looked at how three different analysis methods could help us to understand rater effects on exam reliability. The techniques we looked at were: generalizability theory (G-theory) item response theory (IRT): in particular the Many-Facets ...
Baird, Jo-Anne +4 more
core
Joint Reconstruction via Coupled Bregman Iterations with Applications to PET-MR Imaging
, 2017 Joint reconstruction has recently attracted a lot of attention, especially in the field of medical multi-modality imaging such as PET-MRI. Most of the developed methods rely on the comparison of image gradients, or more precisely their location ...
Brinkmann, Eva-Maria +2 more
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Reliability measures in knowledge structure theory
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract In knowledge structure theory (KST) framework, this study evaluates the reliability of knowledge state estimation by introducing two key measures: the expected accuracy rate and the expected discrepancy. The accuracy rate quantifies the likelihood that the estimated knowledge state aligns with the true state, while the expected discrepancy ...
Debora de Chiusole +3 more
wiley +1 more source
Improving the measurement of QALYs in dementia: developing patient- and carer-reported health state classification systems using Rasch analysis [PDF]
Objectives: Cost-utility analysis is increasingly used to inform resource allocation. This requires a means of valuing health states before and after intervention. Although generic measures are typically used to generate values, these do not perform well
Banerjee, S +9 more
core +4 more sources
Flexible Rasch Mixture Models with Package psychomix [PDF]
Measurement invariance is an important assumption in the Rasch model and mixture models constitute a flexible way of checking for a violation of this assumption by detecting unobserved heterogeneity in item response data.
Achim Zeileis +3 more
core