Summary
This study is concerned with data analysis of associated words obtained from a free association test on Tokyo Bay. It is shown that cluster analysis of the words is an effective method to find respondents’ concerns about the bay. Word clusters are considered to give structures of inseparable conceptions of the object of association. We analyze data from two survey areas near Tokyo Bay, i.e., one in a residential area and the other in a town where fisheries are primary industries. The data analysis shows that water pollution is a respondents’ important concern in the two areas. Associated words showing various industries or development works are classified in some specific clusters. Further, we find a word cluster which indicates that Tokyo Bay is closely related to the lives of respondents engaged in fisheries.
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© 1998 Springer Japan
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Suga, S., Oi, K., Miyamoto, S. (1998). Cluster Analysis of Associated Words Obtained from a Free Response Test on Tokyo Bay. In: Hayashi, C., Yajima, K., Bock, HH., Ohsumi, N., Tanaka, Y., Baba, Y. (eds) Data Science, Classification, and Related Methods. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Tokyo. https://doi.org/10.1007/978-4-431-65950-1_80
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DOI: https://doi.org/10.1007/978-4-431-65950-1_80
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-70208-5
Online ISBN: 978-4-431-65950-1
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