Estimation of Models in a Rasch Family for Polytomous Items and Multiple Latent Variables [PDF]
Journal of Statistical Software, 2007 The Rasch family of models considered in this paper includes models for polytomous items and multiple correlated latent traits, as well as for dichotomous items and a single latent variable. An R package is described that computes estimates of parameters
Carolyn J. Anderson +2 more
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pcIRT: An R Package for Polytomous and Continuous Rasch Models [PDF]
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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Estimating Explanatory Extensions of Dichotomous and Polytomous Rasch Models: The eirm Package in R [PDF]
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 [PDF]
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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%lrasch_mml: A SAS Macro for Marginal Maximum Likelihood Estimation in Longitudinal Polytomous Rasch Models [PDF]
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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Rasch fit statistics and sample size considerations for polytomous data [PDF]
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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Mokken scale analysis of mental health and well-being questionnaire item responses: a non-parametric IRT method in empirical research for applied health researchers [PDF]
BMC Medical Research Methodology, 2012 Background Mokken scaling techniques are a useful tool for researchers who wish to construct unidimensional tests or use questionnaires that comprise multiple binary or polytomous items. The stochastic cumulative scaling model offered by this approach is
Stochl Jan +2 more
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Extended Rasch Modeling: The eRm Package for the Application of IRT Models in R [PDF]
Journal of Statistical Software, 2007 Item response theory models (IRT) are increasingly becoming established in social science research, particularly in the analysis of performance or attitudinal data in psychology, education, medicine, marketing and other fields where testing is relevant ...
Patrick Mair, Reinhold Hatzinger
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Sufficient and Necessary Conditions for the Identifiability of DINA Models with Polytomous Responses [PDF]
Psychometrika 89 (2024) 717-740, 2023 Cognitive Diagnosis Models (CDMs) provide a powerful statistical and psychometric tool for researchers and practitioners to learn fine-grained diagnostic information about respondents' latent attributes. There has been a growing interest in the use of CDMs for polytomous response data, as more and more items with multiple response options become widely
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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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