コース要綱

2017

[Lecture Course Basic Information]

Lecturer: Tamura
Other Lecturers: Green
Course Type:
Semester: spring
Year: 3,4
Course Periods: Wed 14:45-16:15
Credits: 2
Whether mandatory or not:
Classroom: 304 / IRB

 

Outline of Lecture 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.

Course Objectives 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.
Textbooks Healey, Joseph F.  The Essentials of Statistics: A Tool for Social Science Research.  2nd ed. Wadsworth, 2011.
Course Materials/Supplementaries

Students should have a calculator with basic functions (add, subtract, multiply, divide, square root), and an external USB drive capable of storing outputs

Assessment

10%     Class Participation/Attendance

20%     Written Assignments

35%     Midterm Exam

35%     Final Exam

Prerequisites Students enrolled in Quantitative Techniques II should have already completed the Quantitative Techniques I class with a satisfactory grade. Additionally, 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. 
Other Notes

 

Lecture Theme Lecture Course Description Learning outside the class Related page
1 Course intro/syllabus, hypothesis testing review
2 One tailed tests, T-distribution Healey, chapter 8
3 Independent random samples, T-Test, ANOVA Healey, chapter 10
4 Lab 1 - T-Test, ANOVA
5 Crosstabs, Chi-square, Measures of Association Healey, chapters 11-13
6 Lab 2 – Crosstabs & Chi-Square
7 MIDTERM EXAM
8 Correlation Healey, chapter 14
9 Lab 3 - Correlation
10 Regression Healey, chapter 15
11 Lab 4 - Regression
12 Regression continued - Multiple Regression & Dummy Variables
13 Lab 5 - Multiple Regression
14 FINAL EXAM
15

 

Assignments Summary:

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