Results 41 to 50 of about 13,591,879 (306)
Erratum to: Linking Item Response Model Parameters [PDF]
Psychometrika, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
van der Linden, Wim J. +1 more
openaire +2 more sources
Global Efforts to Reduce Paediatric Cancer Care Disparities in Radiotherapy: A Decade Change
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background We present an update on the status, needs and challenges faced by paediatric imaging and radiotherapy (RT) programmes globally after a previous survey conducted by the International Atomic Energy Agency (IAEA) 10 years prior. Methods We developed and distributed a 121‐question survey to radiation oncologists, medical physicists and ...
Raymond B. Mailhot Vega +10 more
wiley +1 more source
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
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Next‐generation sequencing (NGS) has emerged as a promising approach to improve diagnostic accuracy, but its feasibility in low‐ and middle‐income countries remains unknown. This study characterized the diagnostic landscape and assessed organizational readiness for NGS implementation at two childhood cancer treatment centers in Accra ...
Melissa Carvalho +6 more
wiley +1 more source
Bayesian methods in psychological research: the case of IRT.
International Journal of Psychological Research, 2010 Bayesian methods have become increasingly popular in social sciences due to its flexibility in accommodating numerous models from different fields. The domain of item response theory is a good example of fruitful research, incorporating in the lasts ...
Jorge González Burgos
doaj +1 more source
Bayesian Estimation of Latent Space Item Response Models with JAGS, Stan, and NIMBLE in R
Psych, 2023 The latent space item response model (LSIRM) is a newly-developed approach to analyzing and visualizing conditional dependencies in item response data, manifested as the interactions between respondents and items, between respondents, and between items ...
Jinwen Luo +3 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Physical rehabilitation is highly recognised in improving the quality of life of cancer survivors through prehabilitation, sequelae management and palliative care, yet its integration into routine care in Ghana has not been characterised, leading to potential gaps in service access.
Dorothy Ekua Adjabu +5 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Survivorship care plans (SCPs) summarize cancer treatment and guide risk‐based follow‐up for cancer survivors, yet remain difficult to create, share, and use. Stakeholder perspectives are needed to inform usable approaches.
Molly S. Talman +4 more
wiley +1 more source
Smooth Information Criterion for Regularized Estimation of Item Response Models
AlgorithmsItem response theory (IRT) models are frequently used to analyze multivariate categorical data from questionnaires or cognitive test data. In order to reduce the model complexity in item response models, regularized estimation is now widely applied ...
Alexander Robitzsch
doaj +1 more source
Fitting item response unfolding models to Likert-scale data using mirt in R. [PDF]
PLoS ONE, 2018 While a large family of unfolding models for Likert-scale response data have been developed for decades, very few applications of these models have been witnessed in practice.
Chen-Wei Liu, R Philip Chalmers
doaj +1 more source