A comparison of methods for nonparametric estimation of item characteristic curves for binary items

作者：Lee Young Sun^*

来源：Applied Psychological Measurement, 2007, 31(2): 121-134.

DOI：10.1177/0146621606290248

• isotonic regression
• kernel smoothing
• nonparametric item response model
• item response theory

This study compares the performance of three nonparametric item characteristic curve (ICC) estimation procedures: isotonic regression, smoothed isotonic regression, and kernel smoothing. Smoothed isotonic regression, employed along with an appropriate kernel function, provides better estimates and also satisfies the assumption of strict monotonicity. As the number of items and the sample size increase, the kernel smoothing and smoothed isotonic regression ICC estimation procedures yield similar results across all conditions.

• 出版日期2007-3
• 单位南宁师范大学