学部・大学院区分
Undergraduate / Graduate
法学部
時間割コード
Registration Code
0380068
科目区分
Course Category
専門科目
Specialized Courses
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)
担当教員 【日本語】
Instructor
GREEN David James ○
担当教員 【英語】
Instructor
GREEN David James ○
単位数
Credits
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
Year
2年
2
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 hypothesis testing.
到達目標 【日本語】
Objectives of the Course(JPN)
到達目標 【英語】
Objectives 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.
授業の内容や構成
Course Content / Plan
Lecture 1 - Course intro/syllabus, hypothesis testing review
Lecture 2 - One tailed tests, T-distribution, Independent random samples, T-Test, ANOVA
Lecture 3 - Lab 1 – T-test, ANOVA
Lecture 4 - Crosstabs, Chi-square, Measures of Association
Lecture 5 - Lab 2 – Crosstabs & Chi-Square
Lecture 6 - Midterm exam
Lecture 7 - Correlation
Lecture 8 - Lab 3 - Correlation
Lecture 9 - Regression
Lecture 10 - Lab 4 - Regression
Lecture 11 - Regression continued, dummy variables
Lecture 12 - Lab 5 - Dummy variables
Lecture 13 - Review for final exam
Lecture 14 - Final exam
履修条件・関連する科目
Course Prerequisites and Related Courses
Students should have already taken Social Science Analysis and Methods I in order to be eligible for this course.
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・テキスト
Textbook
Text: Healey, Joseph F. The Essentials of Statistics: A Tool for Social Science Research. 2nd ed. Wadsworth, 2011.
参考書
Reference Book
None required.
課外学習等(授業時間外学習の指示)
Study Load(Self-directed Learning Outside Course Hours)
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. Students enrolled in Quantitative Techniques II should have already completed the Quantitative Techniques I class with a satisfactory grade.
注意事項
Notice for Students
Students should also have a calculator with basic functions (add, subtract, multiply, divide, square root), and a USB drive capable of storing outputs
授業開講形態等
Lecture format, etc.
The class will meet face to face in one of Nagoya University's computer labs. Computers with statistical software will be provided.
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)
This class will be held in person.