Abstract
This paper is an application of a new procedure of cluster analysis which deals with asymmetric similarities to sociological data. The aim of this study is to explore how cultural practices in contemporary Japan are classified, and to assess how social class and gender are related to the difference in the constellation of cultural taste. Nonhierarchical asymmetric cluster analysis is used to gain better understanding the underlying structure of cultural taste of some social subgroups in contemporary Japan. Drawing on the national survey which provides detailed information on a broad range of cultural participation of the 2915 respondents from a nationally representative sample in Japan collected in 2005, the paper demonstrates that there are some notable dissimilarity in cultural participation practices between genders, as well as among social classes. The result shows that middle-class women has distinct cultural taste patterns from other social class groups. This finding suggests that they define boundaries and form cultural segmentation. The results obtained from the application of the clustering approach to the data are compared to those obtained from the asymmetric multidimensional scaling. Results are basically consistent.
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Notes
- 1.
We analysed 2915 respondents, approximately half of the respondents collected, who were asked and responded to all the questions concerning a wide range of cultural consumption and practices as well as their socioeconomic characteristics. The SSM survey in 2005 implemented a module design. The questionnaire has two parts: (1) the core component, consisting of fixed questions such as respondents’ socioeconomic background and educational and occupational history, which are asked repeatedly across survey years, and (2) optional modules, which are additional questions on specific themes. Cultural consumption was chosen for the theme for the module, and therefore half of the people sampled were asked for information about their cultural activities.
References
Arabie, P., Hubert, L.: Cluster analysis in marketing research. In: Bagozzi, R.P. (ed.) Advanced Methods in Marketing Research, pp. 160–89. Blackwell, Oxford (1994)
Arabie, P., Carroll, J.D., DeSarbo, W.S.: Three-Way Scaling and Clustering. Sage Publications, Newbury Park, CA (1987)
Bourdieu, P.: La Distinction: Critique Sociale du Jugement. Minuit, Paris (1979)
Bryson, B.: Anything but heavy metal: symbolic exclusion and musical dislikes. Am. Sociol. Rev. 61, 884–899 (1996)
Collins, R.: Women and the production of status cultures. In: Lamont, M., Fournier, M. (eds.) Cultivating Differences, pp. 213–231. University of Chicago Press, Chicago (1992)
Kruskal, J.: The relationship between multidimensional scaling and clustering. In: Van Ryzin, J. (ed.) Classification and Clustering, pp. 17–44. Academic, New York (1977)
Nakai, M.: Social stratification and gendered cultural consumption and lifestyles. In: Sugano, T. (ed.) Social Class and Disparities in Quality of Life, The 2005 SSM Research Series, vol. 10, pp. 1–28 (2008)
Nakai, M.: Social stratification and consumption patterns: cultural practices and lifestyles in Japan. In: Ingrassia, S., Rocci, R., Vichi, M. (eds.) New Perspectives in Statistical Modeling and Data Analysis, pp. 211–218. Springer, Berlin (2011)
Nakai, M.: Class and gender differences in cultural participation: asymmetric multidimensional scaling of cultural consumption. Book and abstracts. In: The 8th International Meeting of the Classification and Data Analysis Group of the Italian Statistical Society, p. 40 (2011)
Okada, A.: A review of cluster analysis and multidimensional scaling research in sociology. Sociol. Theory Methods 17(2), 167–181 (2002)
Okada, A., Imaizumi, T.: Asymmetric multidimensional scaling of two-mode three-way proximities. J. Classif. 14, 195–224 (1997)
Okada, A., Yokoyama, S.: Nonhierarchical asymmetric cluster analysis procedure. In: Minerva, T., Morlini, I., Palumbo, F. (eds.) Books of Abstract, CLADAG 2013, pp. 353–356 (2013)
Olszewski, D.: Asymmetric k-means algorithm. In: Dobnikar, A., Lotric, U., Ster, B. (eds.) Adaptive and Natural Computing Algorithms, pp. 1–10. Springer, Heidelberg (2011)
Olszewski, D.: k-means clustering of asymmetric data. In: Corchado, E., Snasel, V., Abraham, A., Wozniak, M., Grana, M., Cho, S.-B. (eds.) Hybrid Artificial Intelligent Systems, pp. 243–254. Springer, Heidelberg (2012)
Peterson, R.A.: Understanding audience segmentation: from elite and mass to omnivore and univore. Poetics 21, 243–258 (1992)
Peterson, R.A., Kern, R.: Changing highbrow taste: from snob to omnivore. Am. Sociol. Rev. 61, 900–907 (1996)
Peterson, R.A., Simkus, A.: How musical tastes mark occupational status groups. In: Lamont, M., Fournier, M. (eds.) Cultivating Differences: Symbolic Boundaries and the Making of Inequality, pp. 152–186. University of Chicago Press, Chicago (1992)
Sugimoto, Y.: An Introduce to Japanese Society, 3rd edn. Cambridge University Press, Cambridge (2010)
Veblen, T.B.: The Theory of the Leisure Class: An Economic Study in the Evolution of Institutions. Modern Library, New York (1889)
Vicari, D.: Classification of asymmetric proximity data. J. Classif. 13, 386–420 (2014)
Acknowledgements
This work is supported by Grant-in-Aid for Scientific Research (C; No. 26380658) from the Japan Society for the Promotion of Science. The author thanks the Social Stratification and Social Mobility (SSM) 2005 Committee for the use of data.
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Nakai, M. (2017). Social Differentiation of Cultural Taste and Practice in Contemporary Japan: Nonhierarchical Asymmetric Cluster Analysis. In: Palumbo, F., Montanari, A., Vichi, M. (eds) Data Science . Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Cham. https://doi.org/10.1007/978-3-319-55723-6_12
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