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) |
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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】 |
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単位 |
2.0 |
週時間 |
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使用言語 |
E
:
英語 |
学習の段階 |
2
:
初級レベル
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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 |
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授業のキーワード |
Social science, Data analysis, Statistical model, Statistical inference and test |
教職専門科目 |
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教科専門科目 |
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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 |
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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 |
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【詳細情報】 |
Text, Handout, Presentation slide |
授業で取り入れる 学習手法 |
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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 |
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実務経験の概要と それに基づく授業内容 |
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メッセージ |
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その他 |
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すべての授業科目において,授業改善アンケートを実施していますので,回答に協力してください。 回答に対しては教員からコメントを入力しており,今後の改善につなげていきます。 |