The following information was submitted:
Transactions: Please, select the Journal that you submit to
Transactions ID Number: 29-327
Full Name: Mahmud Zamalia
Position: Associate Professor
Age: ON
Sex: Female
Address: Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor
Country: MALAYSIA
Tel: +60355435367
Tel prefix:
Fax: +60355435501
E-mail address: zamal669@salam.uitm.edu.my
Other E-mails: zamalia@tmsk.uitm.edu.my
Title of the Paper: Visualizing patterns of interview conversations regarding students' learning difficulties in statistical concepts via QMDScaling techniques
Authors as they appear in the Paper: Zamalia Mahmud, Rosli Abdul Rahim
Email addresses of all the authors: zamal669@salam.uitm.edu.my, rosliar@salam.uitm.edu.my
Number of paper pages: 10
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 le!
ads 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.
Keywords: Interview conversations, learning difficulties, statistical concepts, qualitative matrix, multidimensional scaling
EXTENSION of the file: .pdf
Special (Invited) Session: Examining relational patterns of students' learning difficulties in statistical concepts using qualitative matrix and multidimensional scaling of interview data
Organizer of the Session: 614-153
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