Latent structurePreference scaling
Unfolding Model
Unfolding Model 是一种偏好分析的几何方法，它将个体和选择对象（刺激物）表示在同一个低维空间中的点。该模型源于 Clyde Coombs 在 1950 年关于偏好选择的基础性工作，并由 Borg 和 Groenen (2005) 严谨系统化，它假设每个人都偏好最接近其个人理想点的刺激物，从而将排序偏好数据“展开”成一个联合空间图。
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来源
- Borg, I., & Groenen, P. J. F. (2005). Modern Multidimensional Scaling: Theory and Applications (2nd ed.). Springer. ISBN: 978-0-387-25150-9
如何引用本页
ScholarGate. (2026, June 2). Unfolding Models for Preference Data. ScholarGate. https://scholargate.app/zh/statistics/unfolding-model
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