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社会学応用研究

令和２年度以降入学者	社会学応用研究
教員名	濱本真一
単位数	2	課程	前期課程	開講区分	文理学部
科目群	社会学専攻
学期	前期	履修区分	選択必修

授業形態	対面授業
Blackboard ID	20231810
授業概要	Basic Statistics with R Computation This class introduces introductory statistics using R computing. The basis of statistics is essential in any science, including sociology. To better understand statistics, it is necessary to observe the behavior of the data through demonstrations. The statistical open source software R is widely used because of its flexibility for data analysis. This class aims to understand both the basic theories of statistics and the actual analytical methods using them.
授業のねらい・到達目標	After completing this course, participants are expected to be able to: (1) understand the basic statistics theories that are widely employed in sociological research (2) analyze empirical data for their own research question with R.
授業の形式	演習
授業の方法	Participants are required to: summarize and explain the contents of the textbook to the class, and demonstrate the analytical methods of their assigned section using R. We will promote understanding through in-class discussion.
履修条件	Recquired All participants MUST read each chapter before the class. Undergraduate-level programming and English are required. Some papers are assigned for those who wish to participate the course without obtaining credit. Cross-enrollment is permitted. Highly motivated graduate students are welcome. Students must attend the first class, as the chapters will be assigned at the first class.

授業計画
1	Guidance and Scheduling 【事前学習】See this Syllabus （0.5時間）【事後学習】Get the textbook and start reading the chapter you assinged （3.5時間）
2	Getting Started with R 【事前学習】Clearify the unclear point in the textbook （3時間）【事後学習】Practice and answer the problems in the textbook as you need （1時間）
3	Univariate data 【事前学習】Prepare the resume / Clearify the unclear point in the textbook （3時間）【事後学習】Practice and answer the problems in the textbook as you need （1時間）
4	Bivariate data 【事前学習】Prepare the resume / Clearify the unclear point in the textbook （3時間）【事後学習】Practice and answer the problems in the textbook as you need （1時間）
5	Multivariate data 【事前学習】Prepare the resume / Clearify the unclear point in the textbook （3時間）【事後学習】Practice and answer the problems in the textbook as you need （1時間）
6	Graphcs 【事前学習】Prepare the resume / Clearify the unclear point in the textbook （3時間）【事後学習】Practice and answer the problems in the textbook as you need （1時間）
7	Populations and Samples 【事前学習】Prepare the resume / Clearify the unclear point in the textbook （3時間）【事後学習】Practice and answer the problems in the textbook as you need （1時間）
8	The Central Limit theorem 【事前学習】Prepare the resume / Clearify the unclear point in the textbook （3時間）【事後学習】Practice and answer the problems in the textbook as you need （1時間）
9	Confidence intervals 【事前学習】Prepare the resume / Clearify the unclear point in the textbook （3時間）【事後学習】Practice and answer the problems in the textbook as you need （1時間）
10	Binomial Statistics: Closs tabulation and χ² test 【事前学習】Prepare the resume / Clearify the unclear point in the textbook （3時間）【事後学習】Practice and answer the problems in the textbook as you need （1時間）
11	Significance Tests for Populations 【事前学習】Prepare the resume / Clearify the unclear point in the textbook （3時間）【事後学習】Practice and answer the problems in the textbook as you need （1時間）
12	Significance Tests for Two Sample Statistics 【事前学習】Prepare the resume / Clearify the unclear point in the textbook （3時間）【事後学習】Practice and answer the problems in the textbook as you need （1時間）
13	Goodness of fit and χ² test 【事前学習】Prepare the resume / Clearify the unclear point in the textbook （3時間）【事後学習】Practice and answer the problems in the textbook as you need （1時間）
14	Simple Linear Regression 【事前学習】Prepare the resume / Clearify the unclear point in the textbook （3時間）【事後学習】Practice and answer the problems in the textbook as you need （1時間）
15	Multiple Linear Regression (and gleaning) 【事前学習】Prepare the resume / Clearify the unclear point in the textbook （3時間）【事後学習】Practice and answer the problems in the textbook as you need （1時間）

その他
教科書	John Verzani, Using R for Introductory Statistics:The R Series, Chapman & Hall/CRC, 2018, 2 edition
参考書	There are several introductions to statistics and R. eg) https://learningstatisticswithr.com/
成績評価の方法及び基準	レポート:Answer the Selected Probrems(60%)、授業参画度:Shared Marerials(40%)
オフィスアワー	time: Tuesday 14:40-16:10(Appointments in advance are recommended) location: My Laboratory(Main building 3rd floor)
備考	All Lessons will be held in Japanese. All Students must bring their computer with R installed. R is available from Comprehensive R Archive Network (CRAN) https://cran.r-project.org/

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