Modeling forced-choice response formats [PDF]
, 2018 To counter response distortions associated with the use of rating scales in personality and similar assessments, test items may be presented in so-called ‘forced-choice’ formats.
Brown, Anna, Maydeu-Olivares, Alberto
core
Using multilabel classification neural network to detect intersectional DIF with small sample sizes
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract This study introduces InterDIFNet, a multilabel classification neural network for detecting intersectional differential item functioning (DIF) in educational and psychological assessments, with a focus on small sample sizes. Unlike traditional marginal DIF methods, which often fail to capture the effects of intersecting identities and require ...
Yale Quan, Chun Wang
wiley +1 more source
State of the psychometric methods: comments on the ISOQOL SIG psychometric papers
Journal of Patient-Reported Outcomes, 2019 Background Psychometric analyses of patient reported outcomes typically use either classical test theory (CTT), item response theory (IRT), or Rasch measurement theory (RTM).
Jakob B. Bjorner
doaj +1 more source
plink: An R Package for Linking Mixed-Format Tests Using IRT-Based Methods [PDF]
The R package plink has been developed to facilitate the linking of mixed-format tests for multiple groups under a common item design using unidimensional and multidimensional IRT-based methods.
Jonathan P. Weeks
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Approximating multidimensionality with asymmetric unidimensional IRT models
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Unidimensional item response theory (IRT) models are widely used even in settings where assessment data exhibit subtle forms of multidimensionality. Recent empirical evidence suggests that when item difficulty is associated with dimensionality, asymmetric item characteristic curves (ICCs) emerge in the unidimensional approximation.
Xiangyi Liao +5 more
wiley +1 more source
The Estimation of Item Response Models with the lmer Function from the lme4 Package in R [PDF]
In this paper we elaborate on the potential of the lmer function from the lme4 package in R for item response (IRT) modeling. In line with the package, an IRT framework is described based on generalized linear mixed modeling. The aspects of the framework
Ivailo Partchev +6 more
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Modelagem multidimensional para mensurar qualidade em website de e-commerce utilizando a teoria da resposta ao item [PDF]
, 2012 Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia de Produção, Florianópolis, 2012.O presente trabalho tem por objetivo construir uma modelagem multidimensional para medir a qualidade ...
Tezza, Rafael
core
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Although full‐information maximum likelihood (FIML) estimation is widely used for diagnostic classification models (DCMs), its computational efficiency deteriorates sharply in high‐dimensional settings. This scalability challenge is increasingly critical as DCMs are applied to large‐scale assessments, psychological testing and longitudinal ...
Minho Lee, Yon Soo Suh
wiley +1 more source
Introduction to item response theory (IRT)
, 2010 Datasets used in Introduction to item response theory (IRT ...
Böhnke, May, Croudace, Tim, Brown, Anna
core +1 more source
A 13-item Health of the Nation Outcome Scale (HoNOS-13): validation by item response theory (IRT) in patients with substance use disorder. [PDF]
Addict Sci Clin Pract, 2023 Chatton A, Khazaal Y, Penzenstadler L.
europepmc +1 more source