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Logistic positive exponent family of models: Virtue of asymmetric item characteristic curves

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  • Fumiko Samejima

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  • Fumiko Samejima, 2000. "Logistic positive exponent family of models: Virtue of asymmetric item characteristic curves," Psychometrika, Springer;The Psychometric Society, vol. 65(3), pages 319-335, September.
    • Handle: RePEc:spr:psycho:v:65:y:2000:i:3:p:319-335
    DOI: 10.1007/BF02296149
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    References listed on IDEAS

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    1. 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.
    2. Fumiko Samejima, 1998. "Efficient nonparametric approaches for estimating the operating characteristics of discrete item responses," Psychometrika, Springer;The Psychometric Society, vol. 63(2), pages 111-130, June.
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    Cited by:

    1. González, Jorge, 2014. "SNSequate: Standard and Nonstandard Statistical Models and Methods for Test Equating," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 59(i07).
    2. Xiangyi Liao & Daniel M. Bolt, 2021. "Item Characteristic Curve Asymmetry: A Better Way to Accommodate Slips and Guesses Than a Four-Parameter Model?," Journal of Educational and Behavioral Statistics, , vol. 46(6), pages 753-775, December.
    3. Dylan Molenaar, 2015. "Heteroscedastic Latent Trait Models for Dichotomous Data," Psychometrika, Springer;The Psychometric Society, vol. 80(3), pages 625-644, September.
    4. Peter Bickel & Steven Buyske & Huahua Chang & Zhiliang Ying, 2001. "On maximizing item information and matching difficulty with ability," Psychometrika, Springer;The Psychometric Society, vol. 66(1), pages 69-77, March.
    5. Daniel M. Bolt & Xiangyi Liao, 2022. "Item Complexity: A Neglected Psychometric Feature of Test Items?," Psychometrika, Springer;The Psychometric Society, vol. 87(4), pages 1195-1213, December.
    6. Alexander Robitzsch, 2024. "Estimation of Standard Error, Linking Error, and Total Error for Robust and Nonrobust Linking Methods in the Two-Parameter Logistic Model," Stats, MDPI, vol. 7(3), pages 1-21, June.
    7. Xianzheng Huang, 2021. "Improved wrong-model inference for generalized linear models for binary responses in the presence of link misspecification," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(2), pages 437-459, June.
    8. Dylan Molenaar & Conor Dolan & Paul Boeck, 2012. "The Heteroscedastic Graded Response Model with a Skewed Latent Trait: Testing Statistical and Substantive Hypotheses Related to Skewed Item Category Functions," Psychometrika, Springer;The Psychometric Society, vol. 77(3), pages 455-478, July.
    9. Sora Lee & Daniel M. Bolt, 2018. "Asymmetric Item Characteristic Curves and Item Complexity: Insights from Simulation and Real Data Analyses," Psychometrika, Springer;The Psychometric Society, vol. 83(2), pages 453-475, June.
    10. Shun Yu & Xianzheng Huang, 2019. "Link misspecification in generalized linear mixed models with a random intercept for binary responses," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(3), pages 827-843, September.
    11. Heleno Bolfarine & Jorge Luis Bazan, 2010. "Bayesian Estimation of the Logistic Positive Exponent IRT Model," Journal of Educational and Behavioral Statistics, , vol. 35(6), pages 693-713, December.

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