Syllabus data

Teacher name ： September Jeremy Ryan
Course Title
Research Methodology Research Methodology
Course Title in English
Research Methodology Research Methodology
Course Type
-
Core Specialized Cources
Eligible Students
Graduate School of Social Sciences
Target Grade
All
Course Numbering Code
KCWMS5MCA3
Credits
2.00Credits
The course numbering code represents the faculty managing the subject, the department of the target students, and the education category (liberal arts / specialized course). For detailed information, please download the separate manual from the upper right 'question mark'.
Type of Class
演習 (Seminar)
Eligible Year/Semester
Fall semester 2026
(Fall semester)
Instructor
September Jeremy Ryan
Affiliation
Graduate School of Social Sciences
Language of Instruction
English
Related SDGs
4
Office Hours and Location
Before and After Class in the classroom

Contact
The instructor can be reached by message on Unipa.


Corresponding Diploma Policy
A double circle indicates the most relevant DP number and a circle indicates the associated DP.
Corresponding Undergraduate School DP
ー
Corresponding Graduate School DP
4◎／3〇
Corresponding University-Wide DP
N/a
Academic Goals of Teacher Training Course
ー

Course Objectives and Learning Outcome
Aim
This section of the course aims to familiarize students with the theory and practical implementation of qualitative research methodologies.

 Goals
1) To understand the appropriate research methodology for the study. 2) To be able to use research methodologies.
  2) To be able to use research methodologies.
Subtitle and Keywords of the Class
 Research methodologies, research design, mixed research methods instruction
                                                       
    
Course Overview and Schedule
  1. The Nature and Process of Social Research
  2. Social Research Strategies
  3. Research Design
  4. Planning a
  5. Research Project
  6. Reviewing the Literature
  7. The nature of quantitative research
  8. Sampling
  9. Structured interviewing
  10. Content analysis
  11. Quantitative data analysis
  12. Interviewing (today)
  13. Grounded Theory principles
  14. Grounded Theory for graduate students
  15. In-class data analysis
In-person/Remote Classification
In-person
Implementation Method and Remote Credit Limit Application
Uses of Generative AI
Limited permission for use
Precautions for using Generative AI
Textbook
Alan Bryman, Social Research Methods 5th Edition, Oxford University Press, 2016
                                                       
    
References
Contents and Estimated Time for Pre- and Post- Learning (Preparation and Review)
Contents of Active Learning
Lectures are conducted in an interactive manner, including discussion of assignments and feedback on student submissions.
                                                       
    
Grading Criteria and Methods
Home work reports 30%
Minute Papers and in-class Assignments 70%
                                                       
    
How to Disclose Assignments and Exam Results
 Instructors will provide feedback in class
                                                       
    
Precautions and Requirements for Course Registration
Practical Education
Remarks
In cases where any differences arise between the English version and the original Japanese version, the Japanese version shall prevail as the official authoritative version.