学部・大学院区分
Undergraduate / Graduate		経済学部
時間割コード
Registration Code		0412281
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		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
Lecture 1 - Course intro & guidance
Lecture 2 - Key concepts, using statistics in the research process, levels of measurement
Lecture 3 - Basic descriptive statistics, displaying data
Lecture 4 - Measures of central tendency
Lecture 5 - Measures of dispersion
Lecture 6 - Review for midterm
Lecture 7 - Midterm exam
Lecture 8 - Measures of dispersion (cont.), the normal curve
Lecture 9 - z-scores, area under the curve
Lecture 10 - Inferential statistics, sampling distribution, central limit theorem
Lecture 11 - Bias and efficiency, confidence
Lecture 12 - Hypothesis testing
Lecture 13 - Hypothesis testing, two-tailed t-tests
Lecture 14 - Review for final
Lecture 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
Healey, Joseph F. The Essentials of Statistics: A Tool for Social Science Research. 2nd ed. Wadsworth, 2011.
課外学習等（授業時間外学習の指示）
Study Load(Self-directed Learning Outside Course Hours)
Students are expected to attend and participate in lectures regularly, complete homework assignments and submit a midterm and final exam.
注意事項
Notice for Students
授業開講形態等
Lecture format, etc.
Lectures will be held weekly in person.
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 every week.
質問への対応方法
Office hour