Kernel Smoothing Approaches to Nonparametric Item Characteristic Curve Estimation
ARTICLE
J O. Ramsay
Psychometrika Volume 56, Number 4, ISSN 0033-3123
Abstract
Kernel smoothing methods for nonparametric item characteristic curve estimation are reviewed. A simulation with 500 examinees and real data from 3,000 records of the Graduate Record Examination illustrate the rapidity of kernel smoothing. Even when population curves are three-parameter logistic, simulation suggests no loss of efficiency. (SLD)
Citation
Ramsay, J.O. (1991). Kernel Smoothing Approaches to Nonparametric Item Characteristic Curve Estimation. Psychometrika, 56(4), 611. Retrieved January 20, 2021 from https://www.learntechlib.org/p/144908/.

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