ABSTRACT

This study introduces a coefficient of discrimination for use with nominal and ordinal regression models. Computation of the coefficient is demonstrated with data from the Pew Research Center’s 25th Anniversary of the Web Omnibus Survey pertaining to cell/home phone ownership, where the coefficient of discrimination indicates that respondent age and gender increased the probability of a correct versus incorrect classification by 13.9%. Additionally, the coefficient is compared to existing coefficients.

中文翻译：

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用于名义和有序回归模型的区分系数

摘要

本研究介绍了用于名义和有序回归模型的区分系数。系数的计算通过皮尤研究中心 25 周年网络综合调查关于手机/家庭电话所有权的数据得到证明，其中歧视系数表明受访者的年龄和性别将正确分类与不正确分类的概率提高了 13.9 %。此外，将该系数与现有系数进行比较。