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 https://www.learntechlib.org/p/144908/.

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Keywords

• College Entrance Examinations
• Computer Simulation
• Efficiency
• Equations (Mathematics)
• Estimation (Mathematics)
• Graphs
• mathematical models
• Nonparametric Statistics