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Regression model

有序逻辑回归(有序 Logit/Probit)

有序 Logit 是一种用于有序因变量的累积回归模型,它将 Logit(或 Probit)链接函数应用于累积类别概率。该模型由 McCullagh 在 1980 年关于有序数据回归模型的研究中提出,是李克特量表、评分和排序结果的标准工具。

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来源

  1. McCullagh, P. (1980). Regression Models for Ordinal Data. Journal of the Royal Statistical Society: Series B, 42(2), 109-142. DOI: 10.1111/j.2517-6161.1980.tb01109.x

如何引用本页

ScholarGate. (2026, June 1). Ordered Logistic Regression (Ordered Logit/Probit). ScholarGate. https://scholargate.app/zh/econometrics/ordered-logit

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被引用于

ScholarGateOrdered Logit (Ordered Logistic Regression (Ordered Logit/Probit)). 于 2026-06-15 检索自 https://scholargate.app/zh/econometrics/ordered-logit · 数据集: https://doi.org/10.5281/zenodo.20539026