A comment on Birnbaum's three-parameter logistic model in the latent trait theory
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DOI: 10.1007/BF02291115
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Cited by:
- Haruhiko Ogasawara, 2021. "Maximization of Some Types of Information for Unidentified Item Response Models with Guessing Parameters," Psychometrika, Springer;The Psychometric Society, vol. 86(2), pages 544-563, June.
- Werner Wothke & George Burket & Li-Sue Chen & Furong Gao & Lianghua Shu & Mike Chia, 2011. "Multimodal Likelihoods in Educational Assessment," Journal of Educational and Behavioral Statistics, , vol. 36(6), pages 736-754, December.
- Ge, Zhongming & Zhang, Yueyun, 2019. "Disability status and student outcomes over time in regular classrooms: Evidence from a national panel survey in China," Children and Youth Services Review, Elsevier, vol. 105(C), pages 1-1.
- David Magis, 2015. "A Note on the Equivalence Between Observed and Expected Information Functions With Polytomous IRT Models," Journal of Educational and Behavioral Statistics, , vol. 40(1), pages 96-105, February.
- Elizabeth Ooi, 2020. "Give mind to the gap: Measuring gender differences in financial knowledge," Journal of Consumer Affairs, Wiley Blackwell, vol. 54(3), pages 931-950, September.
- Fumiko Samejima, 1995. "Acceleration model in the heterogeneous case of the general graded response model," Psychometrika, Springer;The Psychometric Society, vol. 60(4), pages 549-572, December.
- Stefano Noventa & Andrea Spoto & Jürgen Heller & Augustin Kelava, 2019. "On a Generalization of Local Independence in Item Response Theory Based on Knowledge Space Theory," Psychometrika, Springer;The Psychometric Society, vol. 84(2), pages 395-421, June.
- McKee, Douglas & Orlov, George, 2023. "The Economic Statistics Skills Assessment (ESSA)," International Review of Economics Education, Elsevier, vol. 44(C).
- David Magis & Gilles Raîche, 2012. "On the Relationships Between Jeffreys Modal and Weighted Likelihood Estimation of Ability Under Logistic IRT Models," Psychometrika, Springer;The Psychometric Society, vol. 77(1), pages 163-169, January.
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