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Estimating Explanatory Extensions of Dichotomous and Polytomous Rasch Models: The eirm Package in R
Psych, 2021 Explanatory item response modeling (EIRM) enables researchers and practitioners to incorporate item and person properties into item response theory (IRT) models.
Okan Bulut +2 more
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ltm: An R Package for Latent Variable Modeling and Item Response Analysis
Journal of Statistical Software, 2006 The R package ltm has been developed for the analysis of multivariate dichotomous and polytomous data using latent variable models, under the Item Response Theory approach. For dichotomous data the Rasch, the Two-Parameter Logistic, and Birnbaum's Three-
Dimitris Rizopoulos
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Rasch analysis of the hospital anxiety and depression scale among Chinese cataract patients. [PDF]
PLoS ONE, 2017 To analyze the validity of the Hospital Anxiety and Depression Scale (HADS) among Chinese cataract population.A total of 275 participants with unilateral or bilateral cataract were recruited to complete the Chinese version of HADS.
Xianchai Lin +7 more
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Method of successive dichotomizations: An improved method for estimating measures of latent variables from rating scale data. [PDF]
PLoS ONE, 2018 The most commonly used models for estimating measures of latent variables from polytomous rating scale data are the Andrich rating scale model and the Samejima graded response model. The Andrich model has the undesirable property of estimating disordered
Chris Bradley, Robert W Massof
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Frontiers in Rehabilitation Sciences, 2023 The application of the Rasch measurement model in rehabilitation is now well established. Both its dichotomous and polytomous forms provide for transforming ordinal scales into interval-level measures, consistent with the requirements of fundamental ...
Alan Tennant, Ayse A. Küçükdeveci
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pcIRT: An R Package for Polytomous and Continuous Rasch Models
Journal of Statistical Software, 2018 A key task in psychological assessment is the scaling of new psychological tests and questionnaires. Item response theory (IRT) is a well-established framework for this area of research.
Christine Hohensinn
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Cognitive Ability-Demand Gap Analysis With Latent Response Models
IEEE Access, 2014 A better understanding of human cognitive ability-demand gap (ADG) is critical in designing assistive technology solution that is accurate and adaptive over a wide range of human-agent interaction.
Gahangir Hossain, Mohammed Yeasin
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Rasch fit statistics and sample size considerations for polytomous data
BMC Medical Research Methodology, 2008 Background Previous research on educational data has demonstrated that Rasch fit statistics (mean squares and t-statistics) are highly susceptible to sample size variation for dichotomously scored rating data, although little is known about this ...
Fallowfield Lesley J +4 more
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Behavioral Sciences, 2022 Background: The Schizophrenia Coping Oral Health Profile and Index (SCOOHPI) scale studies the coping strategies of schizophrenic patients with regard to oral health. The structural validity of this scale is studied has been studied using factor analyses.
Mohamad Hamad +4 more
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Journal of Statistical Software, 2015 Item response theory models are often applied when a number items are used to measure a unidimensional latent variable. Originally proposed and used within educational research, they are also used when focus is on physical functioning or psychological ...
Maja Olsbjerg, Karl Bang Christensen
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