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Questionnaire Construction, Data Collection and Data Analysis: An Approach by the Idea of Data Science

In: Measurement and Multivariate Analysis

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  • Chikio Hayashi

    (The Institute of Statistical Mathematics)

Abstract

Summary Data design, data collection and data quality evaluation are crucial to data analysis if we are to draw out useful relevant information. Analysis of low-information data never bears fruit; however, data analytic methods can be refined. In spite of the importance of this issue in actual data mining and data analysis, I am forced to ask why these problems cannot be discussed at its most essential level. Perhaps it is a matter of the laborious practical work involved or the otherwise plodding pace of research. Indeed, these problems are rarely addressed because in academic circles it is regarded as unsophisticated. In the present paper, I dare to take up these problems, regarding it as one very important to data science.

Suggested Citation

  • Chikio Hayashi, 2002. "Questionnaire Construction, Data Collection and Data Analysis: An Approach by the Idea of Data Science," Springer Books, in: Shizuhiko Nishisato & Yasumasa Baba & Hamparsum Bozdogan & Koji Kanefuji (ed.), Measurement and Multivariate Analysis, pages 13-24, Springer.
    • Handle: RePEc:spr:sprchp:978-4-431-65955-6_2
    DOI: 10.1007/978-4-431-65955-6_2
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