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The area between two item characteristic curves

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  • Nambury Raju

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  • Nambury Raju, 1988. "The area between two item characteristic curves," Psychometrika, Springer;The Psychometric Society, vol. 53(4), pages 495-502, December.
    • Handle: RePEc:spr:psycho:v:53:y:1988:i:4:p:495-502
    DOI: 10.1007/BF02294403
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    References listed on IDEAS

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    1. R. Bock & Murray Aitkin, 1981. "Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm," Psychometrika, Springer;The Psychometric Society, vol. 46(4), pages 443-459, December.
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    Cited by:

    1. Jerry Welkenhuysen-Gybels & Jaak Billiet, 2002. "A Comparison of Techniques for Detecting Cross-Cultural Inequivalence at the Item Level," Quality & Quantity: International Journal of Methodology, Springer, vol. 36(3), pages 197-218, August.
    2. Jerry Welkenhuysen-Gybels, 2004. "The Performance of Some Observed and Unobserved Conditional Invariance Techniques for the Detection of Differential Item Functioning," Quality & Quantity: International Journal of Methodology, Springer, vol. 38(6), pages 681-702, December.
    3. Ting Wang & Carolin Strobl & Achim Zeileis & Edgar C. Merkle, 2018. "Score-Based Tests of Differential Item Functioning via Pairwise Maximum Likelihood Estimation," Psychometrika, Springer;The Psychometric Society, vol. 83(1), pages 132-155, March.
    4. Silvia Golia, 2015. "Assessing the impact of uniform and nonuniform differential item functioning items on Rasch measure: the polytomous case," Computational Statistics, Springer, vol. 30(2), pages 441-461, June.
    5. Juana Gómez-benito & María Navas-ara, 2000. "A Comparison of χ2, RFA and IRT Based Procedures in the Detection of DIF," Quality & Quantity: International Journal of Methodology, Springer, vol. 34(1), pages 17-31, February.
    6. Nadir ALTINOK & Claude DIEBOLT, 2023. "Cliometrics of Learning-Adjusted Years of Schooling: Evidence from a New Dataset," Working Papers of BETA 2023-02, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    7. Jeanne A. Teresi & Chun Wang & Marjorie Kleinman & Richard N. Jones & David J. Weiss, 2021. "Differential Item Functioning Analyses of the Patient-Reported Outcomes Measurement Information System (PROMIS®) Measures: Methods, Challenges, Advances, and Future Directions," Psychometrika, Springer;The Psychometric Society, vol. 86(3), pages 674-711, September.
    8. Sandefur, Justin, 2018. "Internationally comparable mathematics scores for fourteen african countries," Economics of Education Review, Elsevier, vol. 62(C), pages 267-286.
    9. R. Philip Chalmers, 2018. "Model-Based Measures for Detecting and Quantifying Response Bias," Psychometrika, Springer;The Psychometric Society, vol. 83(3), pages 696-732, September.
    10. Youmi Suk & Kyung T. Han, 2024. "A Psychometric Framework for Evaluating Fairness in Algorithmic Decision Making: Differential Algorithmic Functioning," Journal of Educational and Behavioral Statistics, , vol. 49(2), pages 151-172, April.
    11. Gerhard Tutz & Moritz Berger, 2016. "Item-focussed Trees for the Identification of Items in Differential Item Functioning," Psychometrika, Springer;The Psychometric Society, vol. 81(3), pages 727-750, September.
    12. Meulders, Michel & De Boeck, Paul & Vandenberk, Miek, 2009. "Going beyond the detection of differential item functioning in tests for personnel selection," Working Papers 2009/40, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
    13. Gonthier, Corentin & Grégoire, Jacques & Besançon, Maud, 2021. "No negative Flynn effect in France: Why variations of intelligence should not be assessed using tests based on cultural knowledge," Intelligence, Elsevier, vol. 84(C).
    14. Gerhard Tutz & Gunther Schauberger, 2015. "A Penalty Approach to Differential Item Functioning in Rasch Models," Psychometrika, Springer;The Psychometric Society, vol. 80(1), pages 21-43, March.
    15. Chen, Yunxiao & Li, Chengcheng & Ouyang, Jing & Xu, Gongjun, 2023. "DIF statistical inference without knowing anchoring items," LSE Research Online Documents on Economics 119923, London School of Economics and Political Science, LSE Library.
    16. Minjeong Jeon & Frank Rijmen & Sophia Rabe-Hesketh, 2013. "Modeling Differential Item Functioning Using a Generalization of the Multiple-Group Bifactor Model," Journal of Educational and Behavioral Statistics, , vol. 38(1), pages 32-60, February.
    17. Aura-Nidia Herrera & Juana Gómez, 2008. "Influence of equal or unequal comparison group sample sizes on the detection of differential item functioning using the Mantel–Haenszel and logistic regression techniques," Quality & Quantity: International Journal of Methodology, Springer, vol. 42(6), pages 739-755, December.
    18. David Magis & Francis Tuerlinckx & Paul De Boeck, 2015. "Detection of Differential Item Functioning Using the Lasso Approach," Journal of Educational and Behavioral Statistics, , vol. 40(2), pages 111-135, April.
    19. Timo Bechger & Gunter Maris, 2015. "A Statistical Test for Differential Item Pair Functioning," Psychometrika, Springer;The Psychometric Society, vol. 80(2), pages 317-340, June.
    20. Matthew J. Madison & Laine P. Bradshaw, 2018. "Assessing Growth in a Diagnostic Classification Model Framework," Psychometrika, Springer;The Psychometric Society, vol. 83(4), pages 963-990, December.
    21. Pei-Ying Lin & Ruth A. Childs & Yu-Cheng Lin, 2016. "Untangling complex effects of disabilities and accommodations within a multilevel IRT framework," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(6), pages 2767-2788, November.
    22. David Hessen, 2005. "Constant latent odds-ratios models and the mantel-haenszel null hypothesis," Psychometrika, Springer;The Psychometric Society, vol. 70(3), pages 497-516, September.
    23. M. Hidalgo & José López-Pina, 2011. "Item-fit evaluation in biased tests: a study under Rasch model," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(3), pages 715-734, April.

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