Results 51 to 60 of about 14,062,107 (346)
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
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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
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Exploring the Influence of Item Characteristics in a Spatial Reasoning Task
Journal of Intelligence, 2023 Well-designed spatial assessments can incorporate multiple sources of complexity that reflect important aspects of spatial reasoning. When these aspects are systematically included in spatial reasoning items, researchers can use psychometric models to ...
Qingzhou Shi +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background The Standards for Psychosocial Care for Children with Cancer and Their Families guide the provision of comprehensive psychosocial care. Parallel to research characterizing implementation of the Standards from the perspective of providers, this study examines implementation of the Standards from the perspective of parents of youth ...
Emily M. Pariseau +8 more
wiley +1 more source
Item Response Models for Forced-Choice Questionnaires: A Common Framework [PDF]
, 2016 In forced-choice questionnaires, respondents have to make choices between two or more items presented at the same time. Several IRT models have been developed to link respondent choices to underlying psychological attributes, including the recent MUPP ...
Brown, Anna
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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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Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric intramedullary low‐grade gliomas (PIMLGGs) are rare neoplasms that present unique clinical and management challenges. Although surgery remains the primary tool for tissue diagnosis and decompression, complete gross‐total resection is frequently unfeasible due to the infiltrative nature of these lesions.
Olga M. Sergeenko +5 more
wiley +1 more source
Estimating learners' vocabulary size under item response theory
Vocabulary Learning and Instruction, 2014 Perhaps the most qualitatively interpretable vocabulary test score is an estimate of the total number of words the learner knows in the tested domain, such as a frequency word list, or vocabulary taught as part of a course curriculum.
Aaron Gibson, Jeffrey Stewart
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Item Response Thresholds Models: A General Class of Models for Varying Types of Items
Psychometrika, 2022 Abstract A comprehensive class of models is proposed that can be used for continuous, binary, ordered categorical and count type responses. The difficulty of items is described by difficulty functions, which replace the item difficulty parameters that are typically used in item response models.
openaire +5 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Adult survivors of childhood acute lymphoblastic leukemia (ALL) are at risk of reduced exercise capacity, decreased physical activity levels, persistent fatigue, and neurocognitive deficits. The aim was to investigate exercise capacity and physical activity levels of adult survivors of childhood ALL and their associations with ...
Laura Jess +5 more
wiley +1 more source