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Model for Data Analysis Process and Its Relationship to the Hypothesis-Driven and Data-Driven Research Approaches

  • Miki MatsumuroEmail author
  • Kazuhisa Miwa
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11528)

Abstract

We propose a model explaining a process of the data analysis in the form of the dual space search: data space and hypothesis space. Based on our model, we developed two hypotheses about the relationship between the search in the data space and two scientific research approaches; hypothesis-driven approach and data-driven approach. Generating a testable hypothesis before an analysis (hypothesis-driven) would facilitate the detailed analyses of the variables related to the hypothesis but restrict a search in the data space. On the other hand, the data analysis without a concrete hypothesis (data-driven) facilitates the superficial but broad search in the data space. The results of our experiment using two kinds of the analysis-support system supported these two hypotheses. Our model could successfully explain the process of data analysis and will help design a learning environment or a support system for data analysis.

Keywords

Scientific research process Research approach Data analysis Hypothesis-driven Data-driven 

Notes

Acknowledgements

This work was supported by JSPS KAKENHI Grant Number 18H05320.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.College of Information Science and EngineeringRitsumeikan UniversityKusatsuJapan
  2. 2.Graduate School of InformaticsNagoya UniversityNagoyaJapan

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