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Part of the book series: Behaviormetrics: Quantitative Approaches to Human Behavior ((BQAHB,volume 5))

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Abstract

This chapter introduces a study of peoples’ sense of trust in a paradigm of longitudinal and cross-national comparative survey, called CULMAN (Cultural Manifold Analysis). Firstly, I explain a history of the survey paradigm developed in the Japanese National Character Survey (JNCS) and the related cross-national survey for more than the past six decades. Secondly, fundamental social values of the Japanese and interpersonal trust as identified in the JNCS are summarized. Thirdly, a cross-national analysis of interpersonal trust and institutional trust is presented. Finally, I present some comments for future research.

This chapter is a shorter version of Yoshino [32] adapted for this book, with some updated data. See Yoshino [32], Yoshino et al. [36] and their references for detailed data with the following websites. http://www.ism.ac.jp/ism_info_e/kokuminsei_e.html (Surveys) http://www.ism.ac.jp/~yoshino/index_e.html (Cross-national Surveys) http://www.ism.ac.jp/editsec/kenripo/contents_e.html (Survey Research Report).

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Notes

  1. 1.

    This approach may be contrasted to Inglehart’s World Values Survey that covers culturally diverse countries worldwide, using a single set of question items. There are some significant differences between his model and CULMAN. For example, (1) Inglehart’s cultural map classifies the world by a set of clearly classified cultural zones with definite boundaries, but a cultural manifold may consist of overlapping charts with a hierarchical structure and each chart may expand or shrink or merged with the others over time.

  2. 2.

    Throughout this paper, codes such as Q36 correspond to the common item code of the APVS questionnaire. For the exact wording of items and the precise data, see http://www.ism.ac.jp/editsec/kenripo/contents_e.html or http://www.ism.ac.jp/ism_info_e/kokuminsei_e.html. As for Q38, there are slight differences in wording between our cross-national Japan survey and the Japanese National Character Survey. In the process of translation and back-translation check to make a Japanese version of the cross-national survey questionnaire, we ended up with these two versions. This difference may produce some percentage differences in the response distributions, but the overall pattern is stable.

  3. 3.

    For the study of longitudinal survey data, as well as cross-national surveys, we need to be careful of changes of valid questionnaire returns over decades. Generally, respondents who participated in a survey might be biased to be more trustful than refusers. Thus, we tend to get more trustful respondents in surveys of the lower response rates. For the change of response rates of the JNCS over six decades, see: https://www.ism.ac.jp/kokuminsei/en/page9/page13/index.html. Also see Yoshino [33] for possible misunderstanding of longitudinal data on Japanese high school students’ happiness.

  4. 4.

    See Footnote 3.

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Yoshino, R. (2020). People and Trust. In: Imaizumi, T., Nakayama, A., Yokoyama, S. (eds) Advanced Studies in Behaviormetrics and Data Science. Behaviormetrics: Quantitative Approaches to Human Behavior, vol 5. Springer, Singapore. https://doi.org/10.1007/978-981-15-2700-5_28

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