Multidimensional rasch models for partial credit scoring [PDF]
, 1996 Rasch models for partial-credit scoring are discussed and a multidimensional version of the model is formulated. A model may be specified in which consecutive item responses depend on an underlying latent trait. In the multidimensional partial-credit
Andersen, E.B. +18 more
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A Comparison of Classical and Modern Measures of Internal Consistency
Frontiers in Psychology, 2019 Three measures of internal consistency – Kuder-Richardson Formula 20 (KR20), Cronbach’s alpha (α), and person separation reliability (R) – are considered.
Pasquale Anselmi +2 more
doaj +1 more source
Strong Gaussian approximation of the mixture Rasch model [PDF]
arXiv, 2016 We consider the famous Rasch model, which is applied to psychometric surveys when n persons under test answer m questions. The score is given by a realization of a random binary (n,m)-matrix. Its (j,k)th component indicates whether or not the answer of the jth person to the kth question is correct.
arxiv
A Nonparametric Bayesian Item Response Modeling Approach for Clustering Items and Individuals Simultaneously [PDF]
arXiv, 2020 Item response theory (IRT) is a popular modeling paradigm for measuring subject latent traits and item properties according to discrete responses in tests or questionnaires. There are very limited discussions on heterogeneity pattern detection for both items and individuals.
arxiv
Exploratory rasch analysis of a static-99R clinical cohort assessment.
PLoS ONEModern test theory supplements the more prevalent classic methods for assessing test properties. However, such an assessment of the commonly used sexual recidivism risk assessment instrument, Static-99R, has yet to be attempted.
Christian Baudin +4 more
doaj +1 more source
An Estimation and Analysis Framework for the Rasch Model [PDF]
arXiv, 2018 The Rasch model is widely used for item response analysis in applications ranging from recommender systems to psychology, education, and finance. While a number of estimators have been proposed for the Rasch model over the last decades, the available analytical performance guarantees are mostly asymptotic. This paper provides a framework that relies on
arxiv
INNOVATIONS in Pharmacy, 2023 One of the signal failures in health technology assessment is the absence of consideration given, not only to the standards of normal science, but to those of fundamental measurement.
Paul C Langley
doaj
Assessing adolescents’ perceived proficiency in critically evaluating nutrition information
International Journal of Behavioral Nutrition and Physical Activity, 2018 Background Over the recent past, there has been an increase in nutrition information available to adolescents from various sources, which resulted into confusion and misinterpretation of the dietary advice.
Desire Alice Naigaga +3 more
doaj +1 more source
Parameter Recovery with Marginal Maximum Likelihood and Markov Chain Monte Carlo Estimation for the Generalized Partial Credit Model [PDF]
arXiv, 2018 The generalized partial credit model (GPCM) is a popular polytomous IRT model that has been widely used in large-scale educational surveys and health care services. Same as other IRT models, GPCM can be estimated via marginal maximum likelihood estimation (MMLE) and Markov chain Monte Carlo (MCMC) methods.
arxiv
Evaluating pain outcomes in Chinese ophthalmology patients using the APS-POQ-R-C: a Rasch analysis
Frontiers in PsychologyBackgroundThis study aimed to evaluate the psychometric properties of the Chinese version of the Revised American Pain Society Patient Outcome Questionnaire (APS-POQ-R-C) using Rasch analysis, to optimize the APS-POQ-R-C for effective pain assessment in ...
Meina Huang +3 more
doaj +1 more source