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On the Choice of the Item Response Model for Scaling PISA Data: Model Selection Based on Information Criteria and Quantifying Model Uncertainty [PDF]
Entropy, 2022 In educational large-scale assessment studies such as PISA, item response theory (IRT) models are used to summarize students’ performance on cognitive test items across countries.
Alexander Robitzsch
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Validation of response processes in medical assessment using an explanatory item response model [PDF]
BMC Medical Education, 2022 Background Response process validation is a crucial source of test validity. The expected cognitive load scale was created based on the reflection of the mental effort by which borderline students solve an item defined by experts. The stem length affects
Veerapong Vattanavanit +2 more
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Regularized Generalized Logistic Item Response Model
Information, 2023 Item response theory (IRT) models are factor models for dichotomous or polytomous variables (i.e., item responses). The symmetric logistic or probit link functions are most frequently utilized for modeling dichotomous or polytomous items. In this article,
Alexander Robitzsch
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Tutorial on Analyzing Patient‐Reported Outcome Measures in Clinical Development [PDF]
Clinical and Translational SciencePatient‐reported outcomes (PROs) are now considered essential components of clinical development and regulatory assessment. Despite their widespread collection, PRO data remain under‐utilized, with analyses often limited to descriptive summaries or ...
Krina Mehta +4 more
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Frontiers in Psychology, 2021 In this paper, a new item-weighted scheme is proposed to assess examinees’ growth in longitudinal analysis. A multidimensional Rasch model for measuring learning and change (MRMLC) and its polytomous extension is used to fit the longitudinal item ...
Xuemei Xue, Jing Lu, Jiwei Zhang
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Bifactor item response theory model of acute stress response. [PDF]
PLoS ONE, 2013 BACKGROUND: Better understanding of acute stress responses is important for revision of DSM-5. However, the latent structure and relationship between different aspects of acute stress responses haven't been clarified comprehensively.
Yebing Yang +6 more
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Examining item compromise: an introduction to deterministic gated item response theory model (DGIRT)
Journal of Computer Adaptive Testing in Africa, 2023 The calibration of item parameters (difficulty, discrimination and guessing parameters) estimate may only consider the true and not the cheating abilities of examinees.
Yusuf Olayinka Shogbesan
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Four-Parameter Guessing Model and Related Item Response Models
Mathematical and Computational Applications, 2022 Guessing effects frequently occur in testing data in educational or psychological applications. Different item response models have been proposed to handle guessing effects in dichotomous test items.
Alexander Robitzsch
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Psychological Test Adaptation and Development, 2022 . The Greek version of the Oldenburg Burnout Inventory (OLBI), used to assess exhaustion and disengagement from work, was analyzed using item response theory analyses to investigate the dimensionality and the psychometric properties of the measure’s ...
Eirini Marina Mitropoulou +1 more
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Frontiers in Psychology, 2020 The standard item response theory (IRT) model assumption of a single homogenous population may be violated in real data. Mixture extensions of IRT models have been proposed to account for latent heterogeneous populations, but these models are not ...
Sedat Sen, Allan S. Cohen
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