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Kernel Smoothing Approaches to Nonparametric Item Characteristic Curve Estimation
ARTICLE

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 November 24, 2020 from .

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