広島大学シラバス

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English
年度 2024年度 開講部局 教養教育
講義コード 62162201 科目区分 領域科目
授業科目名 Introduction to Statistics and Quantitative Sociology
授業科目名
(フリガナ)
英文授業科目名 Introduction to Statistics and Quantitative Sociology
担当教員名 白川 俊之
担当教員名
(フリガナ)
シラカワ トシユキ
開講キャンパス 東広島 開設期 1年次生   後期   3ターム
曜日・時限・講義室 (3T) 月1-4:総K105
授業の方法 講義 授業の方法
【詳細情報】
 
 
単位 2.0 週時間   使用言語 E : 英語
学習の段階 2 : 初級レベル
学問分野(分野) 24 : 社会科学
学問分野(分科) 05 : 社会学
対象学生
授業のキーワード Social science, Data analysis, Statistical model, Statistical inference and test
 
教職専門科目   教科専門科目  
教養教育での
この授業の位置づけ
Area Courses(Courses in Arts and Humanities/Social Sciences) Category:Law / Political Sciences / Sociology / Economics / Education 
学習の成果1. To be able to explain the formation and development processes and contemporary issues of each academic discipline.
2. To be able to explain historical and contemporary issues that span multiple academic disciplines from multifaceted perspectives. 
授業の目標・概要等 I will give lectures on the way of analyzing data obtained by social surveys. The main goal of this course is to provide knowledge about the method of summarizing and describing data using statistical models. However, I also offer the basic idea of statistical inference. 
授業計画 lesson1-1 Statistics in the research process
lesson1-2 Statistics in the research process: Exercise
lesson2-1 Describing variables
lesson2-2 Describing variables: Exercise
lesson3-1 Statistical inference (1)
lesson3-2 Statistical inference (1): Exercise
lesson4-1 Statistical inference (2)
lesson4-2 Statistical inference (2): Exercise
lesson5-1 Statistical inference (3)
lesson5-2 Statistical inference (3): Exercise
lesson6-1 Analysis of variance
lesson6-2 Analysis of variance: Exercise
lesson7-1 Analyzing categoric data
lesson7-2 Analyzing categoric data: Exercise
lesson8 Examination

Examination 
教科書・参考書等 Knoke, D., G. W. Bohrnstedt , & A. P. Mee, 2002, Statistics for Social Data Analysis (4th ed.), Belmont, CA: Wadsworth.(=1992,海野道郎・中村隆監訳,『社会統計学――社会調査のためのデータ分析入門』ハーベスト社.) 
授業で使用する
メディア・機器等
 
【詳細情報】 Text, Handout, Presentation slide 
授業で取り入れる
学習手法
 
予習・復習への
アドバイス
This is a term-based course, so there are two classes per week. The first class of each week will be a lecture. During the second class period, you will work on the exercises, and your participation in this class will be evaluated based on your answers to the exercises. I will also be available during the second class period to answer any questions you may have about the content of the class.

In order to understand the method of data analysis, it is essential to practice many computational problems. Please purchase a text that suits your level and research purpose, and repeat the training to calculate statistics. 
履修上の注意
受講条件等
Bring your calculator that has a square root function. Basic knowledge of probability, algebra, and equations learned in high school math is essential to understanding the course content. If your math skills are rusty, be sure to review them with your high school math textbook before taking the course.

This course will be taught in English. All handouts and other materials will be in English. However, if you ask questions in Japanese, the instructor will answer in Japanese. You can also write your answers in Japanese for the assignments and exams. 
成績評価の基準等 Participation 15
Examination 85 
実務経験  
実務経験の概要と
それに基づく授業内容
 
メッセージ  
その他   
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