学部・大学院区分
Undergraduate / Graduate
経済学部
時間割コード
Registration Code
0411553
科目区分
Course Category
科目名 【日本語】
Course Title
社会科学の分析と方法Ⅰ(E)
科目名 【英語】
Course Title
Specialized Advanced Lecture(Social Science Analysis and Methods I)(E)
コースナンバリングコード
Course Numbering Code
担当教員 【日本語】
Instructor
GREEN David James ○
担当教員 【英語】
Instructor
GREEN David James ○
担当教員所属【日本語】
instructor's belongs
担当教員所属【英語】
instructor's belongs
単位数
Credits
2
配当年次
dividend Yearly
2年
2
開講期・開講時間帯
Term / Day / Period
秋 火曜日 1時限
Fall Tue 1
対象学年(非表示)
Year
授業形態
Course style
講義
Lecture


授業の目的 【日本語】
Goals of the Course(JPN)
授業の目的 【英語】
Goals of the Course
This course teaches the use of social science quantitative techniques, emphasizing applications of value to administrators and researchers alike in the fields of law, political science, public policy, and public and international affairs. It includes a review of theoretical application as well as practical use of descriptive statistics and an introduction to hypothesis testing.
到達目標 【日本語】
Objectives of the Course(JPN)
授業の内容や構成
Course Content / Plan
Class 1 - Course introduction, guidance
Class 2 - Key concepts, using statistics in the research process, levels of measurement
Class 3 - Basic descriptive statistics, displaying data
Class 4 - Measures of central tendency
Class 5 - Measures of dispersion
Class 6 - Review for midterm
Class 7 - midterm exam
Class 8 - Measures of dispersion (cont.), the normal curve
Class 9 - Z-scores, area under the curve
Class 10 - Inferential statistics, sampling distribution, central limit theorem
Class 11 - Bias and efficiency, confidence
Class 12 - Hypothesis testing
Class 13 - Two-tailed t-tests
Class 14 - Review for final
Class 15 - Final exam
履修条件・関連する科目
Course Prerequisites and Related Courses
A good command of the English language (reading, speaking, and writing) is required. A mathematical background is not expected, but students should know basic algebra at a minimum.
成績評価の方法と基準
Course Evaluation Method and Criteria
10% Class Participation/Attendance
20% Written Assignments
35% Midterm Exam
35% Final Exam

Please refer to the student handbook (i.e., a c grade= 60 above) regarding the standards for obtaining a passing grade in the course
教科書・参考書
Textbook/Reference Book
Text: Healey, Joseph F. The Essentials of Statistics: A Tool for Social Science Research. 2nd ed. Wadsworth, 2011.
**Note: Students will not be required to purchase the textbook. PDF files of the relevant readings will be posted on NUCT.
課外学習等(授業時間外学習の指示)
Study Load(Self-directed Learning Outside Course Hours)
Please be sure to read the assigned readings ahead of class in order to prepare.
注意事項
Notice for Students
This course will actively use the NUCT system. Please be sure to download readings and assignments from NUCT weekly.
授業開講形態等
Lecture format, etc.
In-person classes will be held weekly, while course readings and materials will be uploaded to NUCT.
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)
Classes will be held in-person in principle, although depending on the corona virus situation some class may be held online.
質問への対応方法
Office hour