The purpose of this study is to discuss the visual image of seventy kinds of Polka Dot Patterns. The images on the patterns were measured by S.D.method, on five points scales and those data were analyzed by principal component analysis, cluster analysis and quantification method I technique.
The results were as follows.
1) Pertaining to the visual images of Polka Dot Patterns, two fundamental factorstermed “refined” and “simplicity” were extracted. The cumulative contribution of both factors was 76.5%. The first factor was related to the diameter of polka dots, and the second, to the density.
2) The results of cluster analysis with Ward method, showed that the Polka Dot Patterns were classified into four clusters in terms of their diameter and density.
3) The relation between diameter and density and background colour of Polka Dot Patterns and items of adjective pairs was analyzed by quantification method I.
As the result, it was found that the first factor “refined” by principal component analysis is related to the diameter, and the second factor “simplicity” is related to the density to the adjective pairs of high factor loading values.
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