Hiroshima University Syllabus

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Academic Year 2023Year School/Graduate School Graduate School of Humanities and Social Sciences (Master's Course)
Lecture Code WKA22050 Subject Classification Specialized Education
Subject Name リサーチメソッド
Subject Name
Subject Name in
Research Method
ハーン グラム ダスタギール,ジョシ ニラズ プラカシュ
Campus Higashi-Hiroshima Semester/Term 1st-Year,  Second Semester,  4Term
Days, Periods, and Classrooms (4T) Thur1-4:East Library 3F Seminar Rm D
Lesson Style Lecture Lesson Style
(More Details)
Credits 2.0 Class Hours/Week   Language of Instruction E : English
Course Level 5 : Graduate Basic
Course Area(Area) 24 : Social Sciences
Course Area(Discipline) 03 : Economics
Eligible Students
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
(Applicable only to targeted subjects for undergraduate students)
Criterion referenced
(Applicable only to targeted subjects for undergraduate students)
Class Objectives
/Class Outline
This course provides a comprehensive introduction to the fundamentals of research methods. It covers a range of topics essential to understanding and conducting research effectively. Students will gain the skills and knowledge needed to design their studies, collect and analyze data, and write research reports.  
Class Schedule Week 1: Introduction to Research Methods
Overview of research methods and their importance
The research process: steps and stages
Types of research: exploratory, descriptive, experimental, correlational, qualitative, and quantitative
Ethical considerations in research
Choosing a research topic and formulating research questions

Week 2: Research Design and Sampling
Defining research design and its role
Experimental vs. non-experimental designs
Sampling methods: random, stratified, convenience sampling

Week 3: Data Collection Methods
Quantitative data collection methods: surveys, experiments, and observational studies
Qualitative data collection methods: interviews and focus groups
Pros and cons of different data collection methods
Data sources: primary and secondary data
Developing data collection instruments

Week 4: Data Analysis and Interpretation
Quantitative data analysis
Qualitative data analysis
Interpreting research findings
Drawing conclusions and implications from data
Presentation of the research results

Week 5: Writing Research Article/Report
Structure and content
Citing sources and avoiding plagiarism
Peer review and the publication process

Week 6: Presentations

Week 7: Presentations

Week 8: Presentations

Research Proposal
Zikmund, William G., Jon C. Carr, and Mitch Griffin. "Business research methods" (2013).
PC or AV used in
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Learning techniques to be incorporated  
Suggestions on
Preparation and
This class has no prerequisites.
Attendance at all lectures is expected. If, for whatever reason, you cannot attend the lecture, please let the instructor know in advance 
Grading Method Attendance: 20%
In-class quizzes: 20%
Research Proposal: 30%
Presentation: 30% 
Practical Experience  
Summary of Practical Experience and Class Contents based on it  
Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching. 
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