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シラバス詳細照会

シラバス詳細照会

  • 講義要項やWebシラバスの記載内容は、登録された受講生の人数や理解度に応じて、授業開始後に変更となる可能性があります。

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授業情報

開講年度 2018年度 開講箇所 政治経済学部
科目名
Research Design 01

担当教員 上田 路子
学期曜日時限 秋学期  金2時限
科目区分 政治経済分析手法-必修科目以外 配当年次 2年以上 単位数 2
使用教室 3-903(学部PCルーム) キャンパス 早稲田
科目キー 11G3001040 科目クラスコード 01
授業で使用する言語 英語
  コース・コード STAX201L
大分野名称 統計学
中分野名称 統計学
小分野名称 統計学
レベル 中級レベル(発展・応用) 授業形態 講義

シラバス情報

最終更新日時:2018/08/02 09:09:44

授業概要 The purpose of this course is to help political science and economics majors build essential skills for understanding and conducting empirical research. Topics to be covered include: basic research and data collection practices, how to analyze data, how to test research questions, bivariate and multivariate regression models. The course combines lectures by the instructor and in-class data analysis using a statistical software. Basic knowledge of statistics will be helpful, but not required. 

授業の到達目標 By the end of the semester, students will be able to understand, interpret, and write empirical papers in the areas of political science and economics. In addition, students will understand the importance of using proper research designs. Students will also become familiar with basic data analysis techniques.
授業計画 1.   Introduction
2.   Measuring and Describing Variables
3.   Proposing Explanations, Framing Hypotheses, and Making Comparisons
4.   Evaluating Causal Relationships
5.   Research Design
6.   Getting to Know Your Data
7.   Foundations of Statistical Inference
8.   Tests of Significance and Measures of Association
9.   Bivariate Regression Models
10. Multiple Regression Models (1) : Basics
11. Multiple Regression Models (2) : Application to Data
12. Logistic Regression (tentative)
13. Putting All Together
14. Course Review
15. Student Presentations 
教科書 None required.
成績評価方法
割合 評価基準
試験: 30% Mid-term exam
レポート: 40% Final paper/presentation: The ultimate goal of this course is to write an original empirical research paper. Students should identify a clear and feasible research question early in the semester, find appropriate dataset(s), and test their hypotheses using techniques covered in class. Students are also asked to present their findings in class at the end of the semester, and to submit a paper that summarizes the findings.
平常点評価: 10% Class Participation.
その他: 20% Problem sets and in-class exercise. Late submissions will not be accepted. Exceptions will be made only for documented illnesses/emergencies.
備考・関連URL * The course schedule is subject to change.

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