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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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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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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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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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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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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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Using IRTree Models to Promote Selection Validity in the Presence of Extreme Response Styles
Journal of Intelligence, 2023 The measurement of psychological constructs is frequently based on self-report tests, which often have Likert-type items rated from “Strongly Disagree” to “Strongly Agree”. Recently, a family of item response theory (IRT) models called IRTree models have
Victoria L. Quirk, Justin L. Kern
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Data Fit Comparison of Mixture Item Response Theory Models and Traditional Models
International Journal of Assessment Tools in Education, 2018 Thepurpose of this study is to determine the best IRT model [Rasch, 2PL, 3PL, 4PLand mixed IRT (2 and 3PL)] for the science and technology subtest of theTransition from Basic Education to Secondary Education (TEOG) exam, which is carriedout at national ...
Seher Yalçın
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