授業の目的 【日本語】
Goals of the Course(JPN) | | |
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授業の目的 【英語】
Goals of the Course | | | This course is aimed at providing basic ideas of comparative methods for empirical analysis in social sciences. Since methodological development in social sciences has been remarkable in the last decades, academic works cannot go without a proper understanding of methodological basics. The overall picture and baseline logic of methodology, however, are not shared always. This course addresses a basic framework of academic research, core ideas of causal inference, and differences and similarities among a variety of methodologies. |
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到達目標 【日本語】
Objectives of the Course(JPN) | | |
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到達目標 【英語】
Objectives of the Course | | By taking this course, students can learn:
(1) why comparative methods can provide a validating logic for causal inference;
(2) how comparative methods with qualitative and quantitative data should be employed;
(3) what methods should be used for given subjects; and
(4) what advantages and disadvantages should accompany with the choice.
This course may use examples of political science for the illustration and practical learning, but the basic logic applies to all social science disciplines. |
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授業の内容や構成
Course Content / Plan | | 1 Introduction
2 Why compare / Falsifiability
3 Research Questions / Making hypothesis
4 Descriptive findings through comparison
5 Causal Inference / Different methods
6 Correlation / Ordinary Least Square estimation
7 Installing and using R
8 Statistical practice 1
9 Pre-and post-analysis interpretation / Making datasets
10 Statistical practice 2
11 Experimental method
12 Case study
13 Set theory and QCA
14 QCA practice
15 Wrap-up discussion: what comparative methods can do
- Students are expected to read assigned materials and prepare one's own PC before starting each class (if no PC of her/his own can be used for this course, please contact the lecturer.) |
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履修条件・関連する科目
Course Prerequisites and Related Courses | | | There is no precondition to take this course. |
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成績評価の方法と基準
Course Evaluation Method and Criteria | | Discussion in the class: 10 points x 15 = 150
*Active participation in class will receive additional points.
Short answers for quizzes: 10 points x 13 times = 130
Report: 120
Minimum points required to pass: 300
*Grading: C- (280-299), C (300-319), B (320-339), A (340-369), A+ (370-400)
*No point will be given if one arrives more than 5 minutes late to class.
*No remedy for late or no submission of assignments.
*Credits will be given to C- or C (where applicable) or higher grade. |
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教科書・参考書
Textbook/Reference Book | | Reading materials will be indicated at the first class.
For advanced studies, students may read following literature.
Gary King, Robert O. Keohane and Sidney Verba. 1994. Designing Social Inquiry: Scientific Inference in Qualitative Research. Princeton U.P.
Goertz, Gary, and James Mahoney. 2012. A Tale of Two Cultures: Qualitative and Quantitative Research in the Social Sciences. Princeton: Princeton University Press.
Imai, Kosuke. 2016. Quantitative Social Science: An Introduction. Princeton U.P.
Lijphart, Arendt. 1971. “Comparative Politics and the Comparative Method.” American Political Science Review, 65(3), pp.682-693.
飯田健（2013）『計量政治分析』（Rで学ぶデータサイエンス14）共立出版
松林哲也（2021）『政治学と因果推論』岩波書店
*Other literature may be introduced during the course or upon request. |
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課外学習等（授業時間外学習の指示）
Study Load(Self-directed Learning Outside Course Hours) | | | After finishing class each week, students are required to answer one short quizz as weekly assignments. |
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注意事項
Notice for Students | | |
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使用言語
Language(s) for Instruction & Discussion | | |
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授業開講形態等
Lecture format, etc. | | 原則として対面で行う。例外的に、遠隔授業（同時双方向）を行う。
遠隔授業は Teams、Zoom等で⾏う。
※履修登録後に授業形態等に変更がある場合には、NUCＴの授業サイトで案内します。
In principle, lecture and seminar course subjects are offered in-person.
Online participation in classes (interactive communication classes via Teams, Zoom, etc.) may be permitted by the instructor under exceptional circumstances.
*Guidance will be posted on NUCT if there are any changes in the class format, etc. after registration. |
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遠隔授業（オンデマンド型）で行う場合の追加措置
Additional measures for remote class (on-demand class) | | |
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