教學目標
研究，就是說個故事，評個理。
本課程介紹科學研究的基本哲學以及社會學經常使用的研究方法，以養成學生獨立思考與研究執行之能力。本課程同時介紹基本的統計概念，其中將特別強調如何避免統計的誤用與濫用，以及統計在研究解釋上的限制，期能養成同學正確的統計態度。另外，將著重於量化研究的測量、抽樣、研究方法及資料分析，培養所有的社會系學生作研究應該具備的基本訓練能力：對有興趣的研究主題，能夠正確而自在的使用研究方法與量化的工具。
在課程安排上，上學期已完成確定研究的議題、應用相關的理論、整理與回顧相關文獻；另外，也設計了封閉式的問卷、提供可量化的問卷問題答項，並完成排版。本學期開始，首先將要理解抽樣的原理、以及熟悉抽樣的流程。隨後，即將到東海校園各學院、各系所發放問卷並完成回收，再整理問卷、完成資料的輸入。同時，我們將複習過去學過的統計概念、將之應用到真實的資料分析上。透過各種統計工具的使用，進行量化資料的分析，最後寫成完整的學術報告。
Teaching objectives
Research is about telling a story and evaluating it.
This course introduces the basic philosophy of scientific research and research methods commonly used in social science to enhance students' ability to think independently and conduct research. This course also introduces basic statistical concepts, which will specifically emphasize how to avoid misuse and mobility of statistics, as well as the limitations of statistics in research and interpretation, so as to achieve correct statistical objectives for students. In addition, we will focus on the measurement, sampling, research methods and data analysis of quantitative research, and cultivate the basic training abilities that all social students should have when conducting research: for interested research topics, be able to use research methods and quantification correctly and freely tools.
In terms of course arrangement, the final research question, application-related theories, sorting and reviewing related documents have been completed in the last period; in addition, closed question papers are also designed, quantifiable question paper questions are provided, and typesetting is completed. At the beginning of this period, we will first understand the principles of sampling and be familiar with the process of sampling. Afterwards, the question papers will be distributed to various colleges and departments of Donghai Campus and completed the recycling, and then sorted out the question papers and completed the data input. At the same time, we will revise the statistical concepts we have learned in the past and apply them to real data analysis. Through the use of various statistical tools, quantitative data analysis is carried out and finally written into a complete academic report.
主要參考書籍
1. Hempel, Carl Gustav，何秀煌譯，1987，《科學的哲學》。台北：三民書局。
2. Babbie, Earl. (14th edition)，2016，《社會科學研究方法》。林秀雲譯。台北：雙葉。
3. 王佳煌、潘中道，2003，《當代社會學研究法：質化與量化途徑》。學富文化。
4. Neuman, W. Lawrence. 2003. (Fifth Edition). Social Research Methods: Qualitative and Quantitative Approaches. Allyn and Bacon.
其他教材上課補充。
Main reference books
1. Hempel, Carl Gustav, He Xiuhuang's translation, 1987, "Philosophy of Science". Taipei: Sanmin Book Bureau.
2. Babbie, Earl. (14th edition), 2016, "Social Science Research Methods". Lin Xiuyun translated. Taipei: Double Leaf.
3. Wang Jiahuang and Pan Zhongdao, 2003, "Contemporary Social Research Methods: Quality and Quantitative Paths". Learn to be rich in culture.
4. Neuman, W. Lawrence. 2003. (Fifth Edition). Social Research Methods: Qualitative and Quantitative Approaches. Allyn and Bacon.
Other textbooks are supplemented.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 期中考25分期中考25分 25 points for the midterm exam |
25 | |
| 期末考25分期末考25分 Final exam 25 points |
25 | |
| 實習分數（每週出席與討論狀況）20分實習分數（每週出席與討論狀況）20分 Actual score (weekly attendance and discussion status) 20 points |
20 | |
| 平常作業15分平常作業15分 15 points for normal operation |
15 |
