1.Participation：15% 2.Assignments：15% 3.Midterm paper & presentation：25% 4.Final term paper & presentation：45%
課程大綱 Course syllabus
本課程教學大綱已提供完整英文資訊（本選項僅供統計使用，未提供完整英文資訊者，得免勾記）【Provide information of course syllabus in English.(This is for statistical use only. For those who do not provide information of course syllabus in English, do not check this field.)】
Quantifying social phenomena involves the applications of statistical and numerical data, even for those seemingly trivial, to build knowledge in a non-arbitrary way. Such knowledge assists policy makers who need to objectively consider public affairs in phenomenon prediction and policy evaluation. This course goes through concepts and misconceptions of quantification, pre-analysis preparations (measurement and constructs, sampling survey, and data collection design), analysis methods and demonstration in Excel/SPSS/AMOS (statistical inference, multivariate analysis, and structural equation modeling), and explanation of analysis results and interpretation of implications for quantitative research writing.
課程目標 Objectives
This course has the following objectives in three hierarchies to achieve for students: (1) Indicate the features, applicable occasions, and limitations of quantitative analysis. (2) Identify quantitative research questions, collect and compile quantitative data, and operate quantitative analysis with standard explanation and comprehensive interpretation of results in scientific writing. (3) Apply quantitative analysis to mediate between theories of public affairs management and policy evaluation.
授課方式 Teaching methods
Lectures, quantitative analysis operation, and presentation and discussion.
1.Participation：15% 2.Assignments：15% 3.Midterm paper & presentation：25% 4.Final term paper & presentation：45%
參考書/教科書/閱讀文獻 Reference book/ textbook/ documents
〔請遵守智慧財產權觀念，不可非法影印。教師所提供之教材供學生本人自修學習使用,不得散播及做為商業用途〕
No copies for intellectual property rights. Textbooks provided by the instructor used only for self-study, can not broadcast or commercial use
Recommend reading in order: Keller, D. K. (2015). The Tao of Statistics: A Path to Understanding (with No Math). Sage Publications.（杜炳倫譯（2019），如果李白來上統計學。五南。） 羅清俊（2016）。社會科學研究方法：打開天窗說量化。揚智。 顏志龍、鄭中平（2019）。給論文寫作者的統計指南。五南。 吳明隆（2008）。SPSS操作與應用－多變量分析實務。五南。 榮泰生（2009）。AMOS與研究方法。五南。
彈性暨自主學習規劃 Alternative learning periods
本門課程是否有規劃實施學生彈性或自主學習內容（每1學分2小時）
Is any alternative learning periods planned for this course (with each credit corresponding to two hours of activity)?
否：教師需於「每週課程內容及預計進度」填寫18週課程進度（每1學分18小時之正課內容）。 No：The instructor will include an 18-week course plan in the weekly scheduled progress (each credit corresponds to 18 hours of instruction)
是：教師需於「每週課程內容及預計進度」填寫16週課程內容（每1學分16小時之正課內容），並於下列欄位填寫每1學分2小時學生彈性或自主學習內容。 Yes：The instructor will include a 16-week course plan in the weekly scheduled progress (each credit corresponds to 16 hours of instruction);the details of the planned alternative learning periods are provided below (each credit corresponds to two hours of activity).
學生彈性或自主學習活動 Alternative learning periods
勾選或填寫規劃內容 Place a check in the appropriate box or provide details
時數 Number of hours
學生分組實作及討論 Group work and discussion
參與課程相關作業、作品、實驗 Participation in course-related assignments, work, or experiments
參與校內外活動（研習營、工作坊、參訪）或競賽 Participation in on- or off-campus activities (e.g., seminars, workshops, and visits) or competitions
課外閱讀 Extracurricular reading
線上數位教材學習 Learning with online digital learning materials
其他（請填寫規劃內容） Other (please provide details)
每週課程內容及預計進度 Weekly scheduled progress
週次
日期
授課內容及主題
Week
Date
Content and topic
1
2020/02/27~2020/02/29
National holiday
2
2020/03/01~2020/03/07
Introduction to the course; Concepts and misconceptions of quantification
3
2020/03/08~2020/03/14
Research questions, variable categories, and method selection
4
2020/03/15~2020/03/21
Data collection: measurement and constructs, sampling survey, and database