IDEAS home Printed from https://ideas.repec.org/r/spr/psycho/v56y1991i4p611-630.html

Kernel smoothing approaches to nonparametric item characteristic curve estimation

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Christian Genest & Johanna G. Nešlehová, 2014. "A Conversation with James O. Ramsay," International Statistical Review, International Statistical Institute, vol. 82(2), pages 161-183, August.
  2. Fumiko Samejima, 1997. "Departure from normal assumptions: A promise for future psychometrics with substantive mathematical modeling," Psychometrika, Springer;The Psychometric Society, vol. 62(4), pages 471-493, December.
  3. Eduardo Doval & Pedro Delicado, 2020. "Identifying and Classifying Aberrant Response Patterns Through Functional Data Analysis," Journal of Educational and Behavioral Statistics, , vol. 45(6), pages 719-749, December.
  4. Yinqiu He, 2024. "Extended Asymptotic Identifiability of Nonparametric Item Response Models," Psychometrika, Springer;The Psychometric Society, vol. 89(3), pages 958-973, September.
  5. Wim Linden, 1998. "Stochastic order in dichotomous item response models for fixed, adaptive, and multidimensional tests," Psychometrika, Springer;The Psychometric Society, vol. 63(3), pages 211-226, September.
  6. Michael Peress, 2012. "Identification of a Semiparametric Item Response Model," Psychometrika, Springer;The Psychometric Society, vol. 77(2), pages 223-243, April.
  7. J. Ramsay, 1995. "A similarity-based smoothing approach to nondimensional item analysis," Psychometrika, Springer;The Psychometric Society, vol. 60(3), pages 323-339, September.
  8. James O. Ramsay & Marie Wiberg, 2017. "A Strategy for Replacing Sum Scoring," Journal of Educational and Behavioral Statistics, , vol. 42(3), pages 282-307, June.
  9. Benjamin Williams, 2019. "Identification of a nonseparable model under endogeneity using binary proxies for unobserved heterogeneity," Quantitative Economics, Econometric Society, vol. 10(2), pages 527-563, May.
  10. Francesca Fortuna & Alessia Naccarato & Silvia Terzi, 2024. "Evaluating countries’ performances by means of rank trajectories: functional measures of magnitude and evolution," Computational Statistics, Springer, vol. 39(1), pages 141-157, February.
  11. Jesper Tijmstra & Herbert Hoijtink & Klaas Sijtsma, 2015. "Evaluating Manifest Monotonicity Using Bayes Factors," Psychometrika, Springer;The Psychometric Society, vol. 80(4), pages 880-896, December.
  12. Hongwen Guo & Sandip Sinharay, 2011. "Nonparametric Item Response Curve Estimation With Correction for Measurement Error," Journal of Educational and Behavioral Statistics, , vol. 36(6), pages 755-778, December.
  13. Javier Revuelta, 2004. "Analysis of distractor difficulty in multiple-choice items," Psychometrika, Springer;The Psychometric Society, vol. 69(2), pages 217-234, June.
  14. 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.
  15. Johnson, Matthew S., 2007. "Modeling dichotomous item responses with free-knot splines," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4178-4192, May.
  16. Mazza, Angelo & Punzo, Antonio & McGuire, Brian, 2014. "KernSmoothIRT: An R Package for Kernel Smoothing in Item Response Theory," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 58(i06).
  17. Fabrizio Maturo & Francesca Fortuna & Tonio Di Battista, 2019. "Testing Equality of Functions Across Multiple Experimental Conditions for Different Ability Levels in the IRT Context: The Case of the IPRASE TLT 2016 Survey," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(1), pages 19-39, November.
  18. Xueli Xu & Jeff Douglas, 2006. "Computerized adaptive testing under nonparametric IRT models," Psychometrika, Springer;The Psychometric Society, vol. 71(1), pages 121-137, March.
  19. Joakim Wallmark & James O. Ramsay & Juan Li & Marie Wiberg, 2024. "Analyzing Polytomous Test Data: A Comparison Between an Information-Based IRT Model and the Generalized Partial Credit Model," Journal of Educational and Behavioral Statistics, , vol. 49(5), pages 753-779, October.
  20. Henry Santa-Cruz-Espinoza & Gina Chávez-Ventura & Julio Domínguez-Vergara & César Merino-Soto, 2023. "Internal Structure of the Work–Family Conflict Questionnaire (WFCQ) in Teacher Teleworking," IJERPH, MDPI, vol. 20(2), pages 1-16, January.
  21. Francesca Fortuna & Fabrizio Maturo, 2019. "K-means clustering of item characteristic curves and item information curves via functional principal component analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(5), pages 2291-2304, September.
  22. César Merino-Soto & Milagros Lozano-Huamán & Sadith Lima-Mendoza & Gustavo Calderón de la Cruz & Arturo Juárez-García & Filiberto Toledano-Toledano, 2022. "Ultrashort Version of the Utrecht Work Engagement Scale (UWES-3): A Psychometric Assessment," IJERPH, MDPI, vol. 19(2), pages 1-14, January.
  23. Jeff Douglas, 1997. "Joint consistency of nonparametric item characteristic curve and ability estimation," Psychometrika, Springer;The Psychometric Society, vol. 62(1), pages 7-28, March.
  24. Longjuan Liang & Michael W. Browne, 2015. "A Quasi-Parametric Method for Fitting Flexible Item Response Functions," Journal of Educational and Behavioral Statistics, , vol. 40(1), pages 5-34, February.
  25. Chanjin Zheng & Shaoyang Guo & Justin L Kern, 2021. "Fast Bayesian Estimation for the Four-Parameter Logistic Model (4PLM)," SAGE Open, , vol. 11(4), pages 21582440211, October.
  26. Jochen Ranger & Jorg-Tobias Kuhn, 2012. "A flexible latent trait model for response times in tests," Psychometrika, Springer;The Psychometric Society, vol. 77(1), pages 31-47, January.
  27. Leah M. Feuerstahler, 2019. "Metric Transformations and the Filtered Monotonic Polynomial Item Response Model," Psychometrika, Springer;The Psychometric Society, vol. 84(1), pages 105-123, March.
  28. Marie Wiberg & James O. Ramsay & Juan Li, 2019. "Optimal Scores: An Alternative to Parametric Item Response Theory and Sum Scores," Psychometrika, Springer;The Psychometric Society, vol. 84(1), pages 310-322, March.
  29. Jeffrey Douglas, 2001. "Asymptotic identifiability of nonparametric item response models," Psychometrika, Springer;The Psychometric Society, vol. 66(4), pages 531-540, December.
  30. Yang Liu & Weimeng Wang, 2022. "Semiparametric Factor Analysis for Item-Level Response Time Data," Psychometrika, Springer;The Psychometric Society, vol. 87(2), pages 666-692, June.
  31. Tim Moses & Jing Miao & Neil J. Dorans, 2010. "A Comparison of Strategies for Estimating Conditional DIF," Journal of Educational and Behavioral Statistics, , vol. 35(6), pages 726-743, December.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.