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T L Hsia

Publications and source records attributed to T L Hsia.

2 recordsLinked to original sources

Shared cognitive representations of perceptual and semantic structures of basic colors in Chinese and English.

Two perceptual structures (based on colors) and one semantic structure (based on names) of eight basic chromatic colors were obtained from three judged similarity tasks for 41 Mandarin Chinese-speaking females in Taiwan and 35 English-speaking females in the United States. Major findings include the following: (i) there are robust and reliable individual differences among individuals, (ii) the structures for Chinese and English speakers are similar, and (iii) the semantic structure of color names is similar to the perceptual structures of colors. The results place strong constraints on theories relating to individual differences, linguistic relativity, and the relation of perceptual and semantic structures for colors.

China↗

Statistical methods for characterizing similarities and differences between semantic structures.

This paper describes a variety of statistical methods for obtaining precise quantitative estimates of the similarities and differences in the structures of semantic domains in different languages. The methods include comparing mean correlations within and between groups, principal components analysis of interspeaker correlations, and analysis of variance of speaker by question data. Methods for graphical displays of the results are also presented. The methods give convergent results that are mutually supportive and equivalent under suitable interpretation. The methods are illustrated on the semantic domain of emotion terms in a comparison of the semantic structures of native English and native Japanese speaking subjects. We suggest that, in comparative studies concerning the extent to which semantic structures are universally shared or culture-specific, both similarities and differences should be measured and compared rather than placing total emphasis on one or the other polar position.

Analysis of Variance↗