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Loglinear Models as Item Response Models [PDF]
, 2010 For analyzing item response data, item response theory (IRT) models treat the discrete responses to the items as driven by underlying continuous latent traits, and consider the form of conditional probability of the response to each item given the latent
Li, Zhushan
core
Item Response Theory approaches to test scoring and evaluating the score accuracy [PDF]
, 2018 The ultimate goal of psychometric testing is to produce a score by which people can be differentiated. Item Response Theory (IRT) devises methods for estimating person’s score on one or more psychological constructs (traits) from his/her responses to ...
Anna Brown, Brown, Anna
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Patients with chronic kidney disease undergoing hemodialysis commonly experience reduced physical function, fatigue, poor sleep quality, and impaired health‐related quality of life. Intradialytic exercise has been proposed as a non‐pharmacological strategy to improve these outcomes.
Klebson da Silva Almeida +6 more
wiley +1 more source
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
doaj +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Maintenance hemodialysis (MHD) patients frequently suffer from frailty, characterized by reduced physical function and poor prognosis. Myokines, such as myonectin, secreted by muscle, are emerging regulators of systemic health. This study investigated the relationship between serum myonectin, adipokines (adiponectin, omentin), and ...
Kenichi Kono +7 more
wiley +1 more source
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
Psychometrics With R: A Review Of CRAN Packages For Item Response Theory [PDF]
, 2013 In this paper we review the current state of R packages for Item Response Theory (IRT). We group the available packages based on their purpose and provide an overview of each package's main functionality.
Mair, Patrick +2 more
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Anchor selection strategies for DIF analysis: Review, assessment, and new approaches [PDF]
, 2013 Differential item functioning (DIF) indicates the violation of the invariance assumption for instance in models based on item response theory (IRT). For item-wise DIF analysis using IRT, a common metric for the item parameters of the groups that are to ...
Zeileis, Achim +2 more
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +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
doaj +1 more source