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| Bản đồ nhận thức và sở thích× | Mở rộng quy mô đa chiều (MDS)× | |
|---|---|---|
| Lĩnh vực | Thống kê | Thống kê |
| Họ | Latent structure | Latent structure |
| Năm ra đời≠ | 1979 | 1952–1964 |
| Người khởi xướng≠ | John Hauser & Frank Koppelman | Warren S. Torgerson (metric MDS, 1952); Joseph B. Kruskal (non-metric MDS, 1964) |
| Loại≠ | Multivariate spatial representation | Dimensionality reduction / visualization |
| Công trình gốc≠ | Hauser, J. R., & Koppelman, F. S. (1979). Alternative perceptual mapping techniques: Relative accuracy and usefulness. Journal of Marketing Research, 16(4), 495–506. DOI ↗ | Kruskal, J. B. (1964). Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis. Psychometrika, 29(1), 1–27. DOI ↗ |
| Tên gọi khác | Perceptual Mapping, Preference Mapping, Attribute-Based Mapping, Algısal Haritalama | MDS, metric MDS, non-metric MDS, proximity scaling |
| Liên quan≠ | 3 | 5 |
| Tóm tắt≠ | Perceptual and preference mapping is a family of multivariate techniques that simultaneously positions competing objects—brands, products, or stimuli—and respondent preferences within a common low-dimensional space. Introduced systematically by Hauser and Koppelman (1979), the approach lets researchers visualize how consumers perceive attribute-level similarities among objects and which attributes drive individual or segment-level choice. It is widely used in market research, sensory science, and strategic positioning analysis. | Multidimensional scaling maps objects described only by pairwise similarities or dissimilarities into a low-dimensional geometric space so that distances in that space reflect the original proximity structure as faithfully as possible. It is widely used to visualize the hidden structure of psychological, social, and behavioral data. |
| ScholarGateBộ dữ liệu ↗ |
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