Results 131 to 140 of about 1,095,010 (241)
Bias-Reduction in Variational Regularization [PDF]
The aim of this paper is to introduce and study a two-step debiasing method for variational regularization. After solving the standard variational problem, the key idea is to add a consecutive debiasing step minimizing the data fidelity on an appropriate set, the so-called model manifold.
arxiv
Early developmental trajectories of the impaired hand in infants with unilateral cerebral palsy
Plain language summary: https://onlinelibrary.wiley.com/doi/10.1111/dmcn.16266 Abstract Aim To identify developmental trajectories of impaired hand function in infants aged 3 to 15 months with unilateral cerebral palsy (CP). Method Sixty‐three infants (37 male; median gestational age 37 weeks [interquartile range 30–39.1 weeks]) recruited as part of a ...
Leanne Sakzewski+8 more
wiley +1 more source
GMFM‐66‐IS scores were supported by strong construct validity and moderate responsiveness evidence for use with infants and toddlers at high risk for CP. Plain language summary: https://onlinelibrary.wiley.com/doi/10.1111/dmcn.16289 Abstract Aim To evaluate the construct validity and responsiveness of the Gross Motor Function Measure‐66 Item Set (GMFM ...
Natalie A. Koziol+4 more
wiley +1 more source
Maximum likelihood estimation in the sparse Rasch model [PDF]
The Rasch model has been widely used to analyse item response data in psychometrics and educational assessments. When the number of individuals and items are large, it may be impractical to provide all possible responses. It is desirable to study sparse item response experiments.
arxiv
Abstract Aim To investigate whether the items of the Danish, Dutch, and Norwegian versions of the Pediatric Evaluation of Disability Inventory ‐ Computer Adaptive Test (PEDI‐CAT) align with the location‐order used in the original algorithm and to assess their structural validity.
Tea Nørgaard Hansen+8 more
wiley +1 more source
Estimation of Models in a Rasch Family for Polytomous Items and Multiple Latent Variables [PDF]
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
core +1 more source
dissertationThis dissertation focuses on two prominent issues encountered in analyzing questionnaire data. First, the summed score of all individual questions in a questionnaire is characteristically used as a measure of disease severity, even though it ...
Volinn, Weining Y.
core
Random pairing MLE for estimation of item parameters in Rasch model [PDF]
The Rasch model, a classical model in the item response theory, is widely used in psychometrics to model the relationship between individuals' latent traits and their binary responses on assessments or questionnaires. In this paper, we introduce a new likelihood-based estimator -- random pairing maximum likelihood estimator ($\mathsf{RP\text{-}MLE ...
arxiv
Abstract This essay explores the disturbing presence of anti‐Black language and tropes in Emine Sevgi Özdamar's recent, celebrated novel Ein von Schatten begrenzter Raum. Drawing on Toni Morrison's classic analysis in Playing in the Dark, I argue Özdamar's anti‐Blackness is characterized by a double‐valence: on one hand, Özdamar's anti‐Blackness ...
Barbara N. Nagel
wiley +1 more source
Individual ability on high-stakes test: Choosing cumulative score or rasch for scoring model
In a test, a method is required to estimate an individual's ability based on their responses. Typically, this is done by summing the correct responses or calculating a cumulative score. An alternative method is the Rasch model.
Muhammad Dhiyaul Khair, Sukaesi Marianti
doaj +1 more source