Citations (19)
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Oliver Lüdtke, Alexander Robitzsch & Esther Ulitzsch. (2023) A Bayesian Approach to Estimating Reciprocal Effects with the Bivariate STARTS Model. Multivariate Behavioral Research 58:3, pages 560-579.
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Mohammed A. A. Abulela & Joseph A Rios. (2022) Comparing the Robustness of Three Nonparametric DIF Procedures to
Differential Rapid Guessing. Applied Measurement in Education 35:2, pages 81-94.
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Holmes Finch & Brian F. French. (2019) A Comparison of Estimation Techniques for IRT Models With Small Samples. Applied Measurement in Education 32:2, pages 77-96.
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Allison J. Ames. (2018) Prior Sensitivity of the Posterior Predictive Checks Method for Item Response Theory Models. Measurement: Interdisciplinary Research and Perspectives 16:4, pages 239-255.
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Daniel McNeish. (2018) Applying Kaplan-Meier to Item Response Data. The Journal of Experimental Education 86:2, pages 308-324.
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Niels G. Waller & Leah Feuerstahler. (2017) Bayesian Modal Estimation of the Four-Parameter Item Response Model in Real, Realistic, and Idealized Data Sets. Multivariate Behavioral Research 52:3, pages 350-370.
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Articles from other publishers (13)
Christine E. DeMars & Paulius Satkus. (2023) Item Parameter Recovery: Sensitivity to Prior Distribution. Educational and Psychological Measurement.
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Sandip Sinharay. 2023. International Encyclopedia of Education(Fourth Edition). International Encyclopedia of Education(Fourth Edition)
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Hyesun You. (2022) Bayesian Versus Frequentist Estimation for Item Response Theory Models of Interdisciplinary Science Assessment. Interdisciplinary Journal of Environmental and Science Education 18:4, pages e2297.
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Fulya BARİS PEKMEZCİ & Asiye ŞENGÜL AVŞAR. (2021) A Guide for More Accurate and Precise Estimations in Simulative Unidimensional IRT ModelsA Guide for More Accurate and Precise Estimations in Simulative Unidimensional IRT Models. International Journal of Assessment Tools in Education 8:2, pages 423-453.
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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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Sedat ŞEN, Allan COHEN & Seock-ho KIM. (2020) A Short Note on Obtaining Item Parameter Estimates of IRT Models with Bayesian Estimation in Mplus. Eğitimde ve Psikolojide Ölçme ve Değerlendirme Dergisi 11:3, pages 266-282.
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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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Şeyma UYAR & Neşe ÖZTÜRK GÜBEŞ. (2020) Item Parameter Estimation for Dichotomous Items Based on Item Response Theory: Comparison of BILOG-MG, Mplus and R (ltm). Eğitimde ve Psikolojide Ölçme ve Değerlendirme Dergisi, pages 506-521.
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Jeffrey M. PattonYing Cheng, Maxwell Hong & Qi Diao. (2019) Detection and Treatment of Careless Responses to Improve Item Parameter Estimation. Journal of Educational and Behavioral Statistics 44:3, pages 309-341.
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Prathiba Natesan, Ratna Nandakumar, Tom Minka & Jonathan D. Rubright. (2016) Bayesian Prior Choice in IRT Estimation Using MCMC and Variational Bayes. Frontiers in Psychology 7.
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Julio Olea, Juan Ramón Barrada, Francisco J. Abad, Vicente Ponsoda & Lara Cuevas. (2013) Computerized Adaptive Testing: The Capitalization on Chance Problem. The Spanish journal of psychology 15:1, pages 424-441.
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E. Andrés Houseman, Carmen Marsit, Margaret Karagas & Louise M. Ryan. (2007) Penalized Item Response Theory Models: Application to Epigenetic Alterations in Bladder Cancer. Biometrics 63:4, pages 1269-1277.
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