コース要綱

2020 Social Science Analysis & Methods Ⅱ (E) / Advanced Lecture(Social Science Analysis & Methods Ⅱ) (E)

 

[Lecture Course Basic Information]

Lecturer: Lee, Linley
Other Lecturers: *
Course Type: Seminar
Semester: Spring
Year:* 2020
Course Periods:* Mon 2nd period
Credits:* 2
Whether mandatory or not:* *
Classroom:* This course will be done online using a mixture of real-time lectures (Mondays 2nd period) and other materials. Students should not come to campus. If you are interested in taking this course, please send an email to Professor Linley at linley.matthew (at mark) j.mbox.nagoya-u.ac.jp Since we are using NUCT, please be sure to check your official Nagoya University email account for all communications.

 

Outline of Lecture Course

 This course is an introduction the most used research methods in the social sciences. A good understanding of research methods is essential for pursing any kind of research project. We begin with the importance of developing a good research question and constructing a theory to answer it. We will then proceed to how to design a doable research project and the kinds of data to collect and analyze to help answer your research question. At the end of the course, students should be able to first, identify the various types of research methods used by social scientists and second, be able to generate a research question and choose an appropriate research design to answer that question.

Course Objectives  First, students will be able to identify the various types of research methods used by social scientists, generate a research question and select an appropriate research design to answer their question. Second, they will be able to design their own study, carry out appropriate analysis of the data, and properly interpret and communicate the findings.
Textbooks

There is no required textbook for this course. Students will receive assigned readings and handouts prior to each class.

Course Materials/Supplementaries

Creswell, J, W. (2019). Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research. New York, New York: Pearson.

Dixon, J. C., Singleton, R., & Straits, B. C. (2019). The Process of Social Research (Second). New York, New York: Oxford University Press.

Kellstedt, P., & Whitten, G. (2018). The Fundamentals of Political Science Research (Third). Cambridge, New York: Cambridge University Press.

Neuman, L. W., & Robson, K. (2018). Basics of Social Research: Qualitative and Quantitative Approaches (Fourth). Don Mills, Ontario: Pearson Canada.
Assessment

Quizzes 40%

Assignments 60%

Prerequisites

This course has no prerequisite.

Instructions for Out-of-Class Study  Students should expect 2 to 5 hours per week of preparation, including reading, reflecting, preparing written assignments, reviewing notes, and preparing for tests. Additional practice and study may be necessary for those students unfamiliar with using Excel or who have limited experience in data analysis
Responding to Student Questions

 The instructors will be available for answering student questions immediately after each class. Students can also make an appointment to talk to the instructor after class.

Other Notes  This course will be taught by two instructors, one from Political Science and the other from Economics. This course intends to provide students with a practical introduction to empirical research. It is not, however, a course in Statistics. We invite students in the Social Sciences and Humanities interesting in learning how to conduct systematic research to join

 

Lecture Theme Lecture Course Description Learning outside the class Related page
1 Introduction to Research Methods

Introduction: The Importance of Research Methods

*
2 Social Science Research Science and Social Research: The relationship between theory, data, and analysis *
3 Theoretical Frameworks

How to Build a Theory

* *
4 Causality

Evaluating Causal Relations

* *
5

Research Design

Research Designs: Answering your question

* *
6

Operationalizing Concept

Measurement: How to operationalize concepts

* *
7 Descriptive Statistics

Understanding your data

* *
8 Sampling

Sampling

* *
9 Survey Design

Surveys: Designing questions and sampling

* *
10 Data Collection Field Research and In-Depth Interviews * *
11 Secondary Data Analysis

Existing Data Analysis: The use of secondary data

* *
12 Probability Probability and Statistical Inference * *
13 Hypothesis testing

Bivariate Hypothesis Testing

* *
14 Regression analysis Multiple Regression * *
15 Conclusion Course Conclusion * *

※Students who wish to enroll as a member should access the URL below.
Log in using the Nagoya University ID and password, and click on "Enroll in Course".

https://canvas.law.nagoya-u.ac.jp/enroll/CNRAPC

コースサマリー:

日付 詳細