Bayesian Item Response Modeling in R with brms and Stan [PDF]
, 2020 Item Response Theory (IRT) is widely applied in the human sciences to model persons' responses on a set of items measuring one or more latent constructs.
Bürkner, Paul-Christian
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Bayesian Analysis of a Quantile Multilevel Item Response Theory Model
Frontiers in Psychology, 2021 Multilevel item response theory (MLIRT) models are used widely in educational and psychological research. This type of modeling has two or more levels, including an item response theory model as the measurement part and a linear-regression model as the ...
Hongyue Zhu, Wei Gao, Xue Zhang
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Explanatory Item Response Models for Polytomous Item Responses
International Journal of Assessment Tools in Education, 2019 Item response theory is a widely used framework for the design, scoring, and scaling of measurement instruments. Item response models are typically used for dichotomously scored questions that have only two score points (e.g., multiple-choice items).
Luke STANKE, Okan BULUT
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Item Response Analysis of a Structured Mixture Item Response Model with mirt Package in R
PsychStructured mixture item response models (StrMixIRMs) are a special type of constrained confirmatory mixture item response theory (IRT) model for detecting latent performance differences in a measurement instrument by characteristic item groups, and ...
Minho Lee, Yon Soo Suh, Minjeong Jeon
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Inverse transformed encoding models - A solution to the problem of correlated trial-by-trial parameter estimates in fMRI decoding [PDF]
, 2019 Techniques of multivariate pattern analysis (MVPA) can be used to decode the discrete experimental condition or a continuous modulator variable from measured brain activity during a particular trial. In functional magnetic resonance imaging (fMRI), trial-
Allefeld, C., Haynes, J-D., Soch, J.
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BMC Medical Education, 2019 Background Computer and paper examinations in our days are constructed from an item pool which is regularly updated. Given the way that exams are created, one of the major concerns is the security of the items that are being used in order to ensure a ...
Milton Severo +4 more
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Using four-parameter item response theory to model human figure drawings [PDF]
Avaliação Psicológica, 2018 This paper studied the application of an extended version of the Item Response Theory, the 4-parameter model (4PL), in the item analysis of Human Figure Drawing (HFD). HFD score drawing might serve as indicators of cognitive development.
Ricardo Primi +2 more
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Differential item functioning in the Patient Reported Outcomes Measurement Information System Pediatric Short Forms in a sample of children and adolescents with cerebral palsy. [PDF]
, 2016 AIM: The present study examined the Patient Reported Outcomes Measurement Information System (PROMIS) Mobility, Fatigue, and Pain Interference Short Forms (SFs) in children and adolescents with cerebral palsy (CP) for the presence of differential item ...
Bjorner +17 more
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Bias-Corrected Root Mean Square Deviation Estimators
FoundationsThe root mean square deviation (RMSD) is a widely used item fit statistic in item response models. However, the sample RMSD is known to exhibit positive bias in small samples. To address this, seven alternative bias-corrected RMSD estimators are proposed
Alexander Robitzsch
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Item response theory applied to factors affecting the patient journey towards hearing rehabilitation
Audiology Research, 2016 To develop a tool for use in hearing screening and to evaluate the patient journey towards hearing rehabilitation, responses to the hearing aid rehabilitation questionnaire scales aid stigma, pressure, and aid unwanted addressing respectively hearing aid
Michelene Chenault +3 more
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