学部・大学院区分
Undergraduate / Graduate		経済学部
時間割コード
Registration Code		0412280
科目区分
Course Category
科目名　【日本語】
Course Title		社会科学の分析と方法Ⅱ（Ｅ）
科目名　【英語】
Course Title		Social Science Analysis and Methods II(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		春 月曜日 ２時限
Spring Mon 2
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
Quantitative Analysis II is designed to provide students with the knowledge and skills to reach a new level of understanding and analysis of social science data. The course is a continuation of Quantitative Analysis I, and will therefore focus on the application of the previous material. This course will emphasize the application and analysis of computer based statistical techniques in particular, with an emphasis on social science variables.
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 intro/syllabus, hypothesis testing review
Class 2 - One tailed tests, T-distribution
Class 3 - Independent random samples, T-Test, ANOVA
Class 4 - Lab 1 – T-test, ANOVA
Class 5 - Crosstabs, Chi-square, Measures of Association
Class 6 - Lab 2 – Crosstabs & Chi-Square
Class 7 - Midterm exam
Class 8 - Correlation
Class 9 - Lab 3 – Correlation
Class 10 - Regression
Class 11 - Lab 4 – Regression
Class 12 - Regression continued, dummy variables
Class 13 - Lab 5 – Dummy variables
Class 14 - Course review, review for exam
Class 15 - Final exam
履修条件・関連する科目
Course Prerequisites and Related Courses
Students enrolled in Quantitative Techniques II should have already completed the Quantitative Techniques I class with a satisfactory grade. 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.
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
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 TACT.
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)
質問への対応方法
Office hour