Visualizing patterns of interview conversations regarding students' learning difficulties in statistical concepts via QMDScaling techniques

  • Authors:
  • Zamalia Mahmud;Rosli Abdul Rahim

  • Affiliations:
  • Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia;Research Management Institute, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia

  • Venue:
  • WSEAS Transactions on Information Science and Applications
  • Year:
  • 2009

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Abstract

Many attempts were made by researchers and practitioners to analyze interview conversations. Due to different variations in the interview analysis techniques, it can lead to inconsistencies in the interpretation of the interview conversations. Through QMDScaling techniques, not only that interview conversations can be interpreted precisely and accurately, patterns of the interview conversations can also be visualized and interpreted via a joint-dimensional space. One area which is gaining popularity in research involving the use of both qualitative and quantitative data is in the research of statistical education. On that note, the purpose of this paper is to describe the methodological techniques used in visualizing patterns of the interview conversations regarding students' learning difficulties in basic statistical concepts as perceived by the statistics educators. The process involves reducing and categorizing the interview conversations into themes. This leads to the transformation of the themes into codes and finally transforming the themes into a binary matrix and into a joint-dimensional space. These techniques had shown that inconsistencies in the interpretation of the interview conversations can be avoided and it has helped to understand issues and reveal findings which could not be elicited and interpreted precisely through the conventional technique.