cheader

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。

main start

授業情報

開講年度 2018年度 開講箇所 政治経済学部
科目名
Advanced Seminar 1 11

担当教員 上田 路子
学期曜日時限 春学期  木3時限
科目区分 演習-必修科目 配当年次 2年以上 単位数 2
使用教室 3-609(演習室) キャンパス 早稲田
科目キー 11G4001059 科目クラスコード 11
授業で使用する言語 英語
  コース・コード POLX201S
大分野名称 政治学
中分野名称 政治学
小分野名称 政治学
レベル 中級レベル(発展・応用) 授業形態 演習/ゼミ

シラバス情報

最終更新日時:2018/03/02 19:02:04

授業概要

This seminar is intended for students who are seriously considering conducting empirical analysis in the areas of economics or political science (or any other field, for that matter). By the end of the Advanced Seminar series, students should be able to conduct their own research using data, and write a high-quality empirical/applied paper as a thesis. Participants of this seminar must be willing to learn statistics and econometrics as well as being comfortable with data handling and coding. No prior experience with statistical analysis/statistical package/coding is necessary; However, students should demonstrate that they have a clear research agenda/question that they would like to answer with data prior to signing up for the seminar.

 

In Advanced Seminar 1, we study basic ideas behind empirical analysis. It is extremely important to understand what we can and cannot do with data, and how we can screw up with our analysis if we are not careful, before learning more technical methods. There will be occasional assignments related to class readings. At the end of the semester, students are expected to make a presentation on the topic of their choice.

授業の到達目標 * Students should be able to get the “big picture” behind empirical analysis.
* Students should be able to understand what we can and cannot do with data.
授業計画
1:
第1回
Introduction
2:
第2回
Descriptive Statistics (Wheelan Ch. 1-2)
3:
第3回
Deceptive Description and correlation (Wheelan Ch.3-4)
4:
第4回
Basic Probability and Problems with Probability (WheelanCh. 5-6)
5:
第5回

The Importance of Data and the Central Limit Theorem (Wheelan Ch. 7-8)

6:
第6回
Inference and Polling (Wheelan Ch. 9-10)
7:
第7回
Regression Analysis & Common Regression Mistakes  (Wheelan Ch. 11-12)
8:
第8回
Program Evaluation & Conclusion (Wheelan Ch. 13-Conclusion)
9:
第9回
In-class Empirical Exercise
10:
第10回
Statistical Significance (1)          (Reinhart Ch.1)
11:
第11回
Statistical Significance (2)          (Reinhart Ch.4-5)
12:
第12回
Data Issues (1) (Reinhartselected chapters)
13:
第13回
Data Issues (2) (Reinhartselected chapters)
14:
第14回
Data Issues (3) (Reinhartselected chapters)
15:
第15回
Student Presentations
教科書 Wheelan, Charles J. 2013. Naked Statistics: Stripping the Dread from the Data.
Reinhart, Alex. 2015. Statistics Done Wrong: The Woefully Complete Guide.
成績評価方法
割合 評価基準
レポート: 30% Details announced in class
平常点評価: 50% In-class participation (more than 3 absences will result in 0 score in this category)
その他: 20% In-class presentation(s).
備考・関連URL

The course schedule is subject to change.

ページの先頭へ戻る

Copyright © Media Network Center,Waseda University 2006-2018.All rights reserved.

read