Understanding College Students’ Thought Toward Social Events by Qualitative Meta-Synthesis Technologies

Understanding College Students’ Thought Toward Social Events by Qualitative Meta-Synthesis Technologies

Xijin Tang (Academy of Mathematics and Systems Science, Chinese Academy of Sciences, China) and Bin Luo (Chinese Academy of Sciences, China)
DOI: 10.4018/ijoci.2011100102
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Abstract

It is necessary to consider community opinions about social events and respond with proper actions. Support is needed to acquire a basic or rough idea of community opinions quickly. In this paper, the authors show how to elicit main points from community opinions with a simple word association test on college students about the highlighted social events in China in 2010. Two supporting technologies for qualitative meta-synthesis CorMap and iView are applied to analyze the opinions. Unlike basic descriptive statistical figures, CorMap/iView help identify the structures of opinions, which show the primary concerns of students or features of events, as a simple way to acquire a rough synthesis of public concerns rapidly.
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2. Qualitative Meta-Synthesis Supporting Technologies: Cormap/Iview

Qualitative meta-synthesis is one type of meta-synthesis, which refers to either a system approach toward complex problem solving proposed by Chinese system scientist Qian Xuesen and his colleagues over 20 years ago (Qian, Yu, & Dai, 1990) or the results of meta-synthesis system practice. Another two types of meta-synthesis denote qualitative-quantitative meta-synthesis and meta-synthesis from qualitative understanding to quantitative validation, which actually indicates a working process of MSA to complex problem solving.

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