Citations (24)
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Ismail Cuhadar. (2022) Sample Size Requirements for Parameter Recovery in the 4-Parameter Logistic Model. Measurement: Interdisciplinary Research and Perspectives 20:2, pages 57-72.
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Ömür Kaya Kalkan. (2022) The Comparison of Estimation Methods for the Four-Parameter Logistic Item Response Theory Model. Measurement: Interdisciplinary Research and Perspectives 20:2, pages 73-90.
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Leah M. Feuerstahler. (2022) Metric Stability in Item Response Models. Multivariate Behavioral Research 57:1, pages 94-111.
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Articles from other publishers (21)
Jia Liu, Xiangbin Meng, Gongjun Xu, Wei Gao & Ningzhong Shi. (2023) MSAEM Estimation for Confirmatory Multidimensional Four‐Parameter Normal Ogive Models. Journal of Educational Measurement 61:1, pages 99-124.
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Shaoyang Guo, Yanlei Chen, Chanjin Zheng & Guiyu Li. (2023)
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Justin L. Kern. (2023) Extending an Identified Four-Parameter IRT Model: The Confirmatory Set-4PNO Model. Journal of Educational and Behavioral Statistics.
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Ismail Cuhadar & Salih Binici. (2022) Modeling Slipping Effects in a Large‐Scale Assessment with Innovative Item Formats. Educational Measurement: Issues and Practice 41:3, pages 48-57.
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Faye Antoniou, Ghadah Alkhadim, Angeliki Mouzaki & Panagiotis Simos. (2022) A Psychometric Analysis of Raven’s Colored Progressive Matrices: Evaluating Guessing and Carelessness Using the 4PL Item Response Theory Model. Journal of Intelligence 10:1, pages 6.
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Carl F. Falk & Felix Fischer. (2021) More flexible response functions for the PROMIS physical functioning item bank by application of a monotonic polynomial approach. Quality of Life Research 31:1, pages 37-47.
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Zhihui Fu, Susu Zhang, Ya‐Hui Su, Ningzhong Shi & Jian Tao. (2021) A Gibbs sampler for the multidimensional four‐parameter logistic item response model via a data augmentation scheme. British Journal of Mathematical and Statistical Psychology 74:3, pages 427-464.
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Oliver Lüdtke, Esther Ulitzsch & Alexander Robitzsch. (2021) A Comparison of Penalized Maximum Likelihood Estimation and Markov Chain Monte Carlo Techniques for Estimating Confirmatory Factor Analysis Models With Small Sample Sizes. Frontiers in Psychology 12.
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Michela Battauz. (2020) Regularized Estimation of the Four-Parameter Logistic Model. Psych 2:4, pages 269-278.
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Xiangbin Meng, Gongjun Xu, Jiwei Zhang & Jian Tao. (2019) Marginalized maximum a posteriori estimation for the four‐parameter logistic model under a mixture modelling framework. British Journal of Mathematical and Statistical Psychology 73:S1, pages 51-82.
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Jiwei Zhang, Jing Lu, Hang Du & Zhaoyuan Zhang. (2020) Gibbs-Slice Sampling Algorithm for Estimating the Four-Parameter Logistic Model. Frontiers in Psychology 11.
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Carl F. Falk. (2020) The Monotonic Polynomial Graded Response Model: Implementation and a Comparative Study. Applied Psychological Measurement 44:6, pages 465-481.
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Justin L. Kern & Steven Andrew Culpepper. (2020) A Restricted Four-Parameter IRT Model: The Dyad Four-Parameter Normal Ogive (Dyad-4PNO) Model. Psychometrika 85:3, pages 575-599.
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Leah M. Feuerstahler, Niels Waller & Angus MacDonaldIIIIII. (2019) Improving Measurement Precision in Experimental Psychopathology Using Item Response Theory. Educational and Psychological Measurement 80:4, pages 695-725.
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Ömür Kaya KALKAN & İsmail ÇUHADAR. (2020) An Evaluation of 4PL IRT and DINA Models for Estimating Pseudo-Guessing and Slipping Parameters. Eğitimde ve Psikolojide Ölçme ve Değerlendirme Dergisi 11:2, pages 131-146.
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Paul-Christian Bürkner. (2020) Analysing Standard Progressive Matrices (SPM-LS) with Bayesian Item Response Models. Journal of Intelligence 8:1, pages 5.
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Shaoyang Guo & Chanjin Zheng. (2019) The Bayesian Expectation-Maximization-Maximization for the 3PLM. Frontiers in Psychology 10.
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Leah M. Feuerstahler. (2017) Sources of Error in IRT Trait Estimation. Applied Psychological Measurement 42:5, pages 359-375.
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