| Summary: | 碩士 === 國立交通大學 === 資訊科學與工程研究所 === 97 === Social science researchers use an appropriate research method in order to describe, explore and understand social life in a specific problem. The selection strategy may be different because the importance of each feature in various research methods is different. If the apprentices select an inappropriate research method, the research results will be useless. It needs experience to determine which features can dominate the method selection, but it is difficult for the apprentices to understand. Therefore, how to select an appropriate research method from the specific problem is an important and difficult issue in social science research. As far as we know, there is less study about research method selection assistance; so we want to assist the apprentices to find appropriate research method according to their intentions. In this thesis, we propose the Modified Repertory Grid Based Intention Finding Approach (MRGBIFA), which is to acquire apprentices' intentions; and the Intelligent Social Science Research Methods Selection Assistant (ISSRMSA) is to discover apprentices' misconceptions and give proper assistance according to diverse misconceptions. Experimental results show that our ISSRMSA is useful for the apprentices to select research methods. In the near future, the ISSRMSA could be extended to plan apprentices' experiment design, verify the validation of their experiment design, and guide them to choose appropriate Statistical Tests.
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