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Explanatory Item Response Models for Polytomous Item Responses [PDF]
International Journal of Assessment Tools in Education, 2019 Item response theory is a widely used framework for thedesign, scoring, and scaling of measurement instruments. Item response modelsare typically used for dichotomously scored questions that have only two scorepoints (e.g., multiple-choice items ...
Okan Bulut, Luke Stanke
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Analysing Standard Progressive Matrices (SPM-LS) with Bayesian Item Response Models [PDF]
Journal of Intelligence, 2020 Raven’s Standard Progressive Matrices (SPM) test and related matrix-based tests are widely applied measures of cognitive ability. Using Bayesian Item Response Theory (IRT) models, I reanalyzed data of an SPM short form proposed by Myszkowski and ...
Paul-Christian Bürkner
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Item response models for the longitudinal analysis of health-related quality of life in cancer clinical trials [PDF]
BMC Medical Research Methodology, 2017 Background The use of health-related quality of life (HRQoL) as an endpoint in cancer clinical trials is growing rapidly. Hence, research into the statistical approaches used to analyze HRQoL data is of major importance, and could lead to a better ...
Antoine Barbieri +5 more
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BAYES MODAL ESTIMATION IN ITEM RESPONSE MODELS* [PDF]
ETS Research Report Series, 1985 ABSTRACTThis article describes a Bayesian framework for estimation in item response models, with two‐stage prior distributions on both item and examinee populations. Strategies for point and interval estimation are discussed, and a general procedure based on the EM algorithm is presented. Details are given for implementation under one‐, two‐, and three‐
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General mixture item response models with different item response structures: Exposition with an application to Likert scales [PDF]
Behavior Research Methods, 2018 Jesper Tijmstra, Minjeong Jeon
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Recent Integrations of Latent Variable Network Modeling With Psychometric Models
Frontiers in Psychology, 2021 The combination of network modeling and psychometric models has opened up exciting directions of research. However, there has been confusion surrounding differences among network models, graphic models, latent variable models and their applications in ...
Selena Wang
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Frontiers in Education, 2022 In this study, the psychometric properties of the listening and reading subtests of the German VERA 3 test were examined using Item Response Theory (IRT) and Multidimensional Item Response Theory (MIRT) models.
Güler Yavuz Temel +3 more
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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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Linking Item Response Model Parameters [PDF]
Psychometrika, 2016 With a few exceptions, the problem of linking item response model parameters from different item calibrations has been conceptualized as an instance of the problem of test equating scores on different test forms. This paper argues, however, that the use of item response models does not require any test score equating. Instead, it involves the necessity
van der Linden, Wim J. +1 more
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Parameters and Models of Item Response Theory (IRT): A Review of Literature
Acta Educationis Generalis, 2023 Introduction: Item response theory (IRT) has received much attention in validation of assessment instrument because it allows the estimation of students’ ability from any set of the items.
Gyamfi Abraham, Acquaye Rosemary
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