課程簡介：
社會科學最終的目的在於描述及解釋不同的社會現象，如何描述與解釋有不同的研究取向。而統計學是最常被社會科學家用來描述及解釋實證研究資料的工具之一，其在社會科學研究上的重要性毋庸置疑。統計學就是搜集、整理、分析、表現經驗證據，並藉由檢定假設與推論，以做出進一步的決策。本課程是一初級的統計學課程，主要是讓學生熟悉統計學的基本概念與理論，學習統計套裝軟體，並了解統計學在社會科學研究中之應用。
學習建議：
一般主修社會科學的學生，對統計學似乎都非常懼怕，常見的理由是:｢我數學不好｣、或是｢統計一大堆數學公式，我算得頭昏腦脹｣，其實這些都是錯誤的觀念。統計不是數學，雖然其中應用了數學公式來證明或推導一些基本概念。統計是一種思考的方法，可以幫助我們做出決策。學習統計，第一秘訣是要拋棄害怕畏縮的心態；第二秘訣是，和其他科目一樣，統計的學習需要耐心及恆心，除了用腦用心思考之外，還要實際動手計算。最重要的是，統計學的概念及推理具有高度的連貫性，因此最有效率的學習策略是：上課專心聽講，當天立即複習，有問題隨時提問，務必掌握每一階段的學習內容。
另外，隨著電腦科技的發達，各種統計套裝軟體已經發展成熟，這大大降低了從事繁瑣計算的必要性，對我們學習統計非常有幫助。有鑑於統計套裝軟體在現代工作應用上的普遍性，我們會學習一個在社會科學領域極受歡迎的統計軟體，SPSS。透過SPSS，同學們應更能體會統計在社會科學計量研究中的應用。
教學目標：
藉著研讀相關文獻及課後的實際演算，同學們可以:
學習如何針對問題搜集可靠的資料
熟悉如何整理與分析資料，並據此做出合理的推論或預測
增強統計思惟能力，及加強對龐大數字／數據資料的理解與掌握程度
培養敏銳的社會現象觀察力與經驗分析能力
體會不同社會學次領域的研究特色
培養社會課題比較、分析、與思考能力
Course introduction:
The ultimate goal of social science is to describe and explain different social phenomena, and how to describe and explain different research orientations. However, scheming is one of the most commonly used tools by social scientists to describe and explain research data, and its importance in social science research is unquestionable. Statistical sci-
Collect, organize, analyze, and express verification, and make further decisions by confirming hypothesis and suggesting. This course is a junior-level statistical graphic course, which mainly allows students to familiarize themselves with the basic concepts and theoretical discussions of statistical graphic, learn the system package software, and understand the application of statistical graphic in social science research.
Learning Suggestions:
Generally, students majoring in social sciences seem to be very afraid of statistical studies. The common reasons are: "I don't have a good mathematics" or "I'm counting a lot of mathematical formulas, and I'm confused." In fact, these are all wrong concepts. Statistics are not mathematics, although mathematical formulas are applied to prove or promote some basic concepts. Statistics is a way of thinking that can help us make decisions. When learning statistics, the first secret is to abandon the fear of shrinkage; the second secret is that, like other subjects, learning statistics requires patience and enthusiasm. In addition to thinking with your brain, you also need to calculate it manually. The most important thing is that the concepts and reasoning of disciplines are highly connected, so the most efficient learning strategy is: listen carefully in class, revise immediately on the same day, ask questions at any time if you have any questions, and be sure to master the learning content of each stage.
In addition, with the development of computer technology, various statistical packaged software have developed and matured, which has greatly reduced the necessity of intensive calculations and is very helpful for us to learn statistical programs. Given the universality of the stereoscopic software in modern work applications, we will learn a SPSS, a highly popular stereoscopic software in the social sciences field. Through SPSS, students should be able to further their application in social science quantitative research.
Teaching objectives:
By studying relevant papers and actual calculations after class, students can:
Learn how to collect reliable data on problems
Be familiar with how to organize and analyze data, and make reasonable suggestions or predictions
Improves the ability to think and strengthen understanding and mastery of large numbers/data data
Cultivate social phenomenon observation and experience analysis skills in a sensitive way
Research characteristics of different social academic fields
Cultivate social subject comparison, analysis, and thinking skills
Pagano, Robert R. 2010. Understanding Statistics in the Behavioral Sciences, 10th Edition. Belmont, CA: Thomson Wadsworth. [代號: RRP]
Or [中譯本]
潘中道、郭俊賢合譯，Robert R. Pagano 原著，2013，行為科學統計學 (十版)，台北：湯姆生出版。
Pagano, Robert R. 2010. Understanding Statistics in the Behavioral Sciences, 10th Edition. Belmont, CA: Thomson Wadsworth. [Agent: RRP]
Or [Chinese translation]
Co-edited by Pan Zhongdao and Guo Junchen, original work by Robert R. Pagano, 2013, Activity Science and Constitutional Science (Ten Editions), Taipei: Tomsheng Published.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 出席、隨堂小考及課堂參與出席、隨堂小考及課堂參與 Attendance, exams and class participation |
10 | |
| 平常作業平常作業 Normal operation |
22 | |
| 平時考試 (Big Quiz)平時考試 (Big Quiz) Daily Exam (Big Quiz) |
20 | |
| 期中考期中考 Midterm exam |
16 |
