Academic Year |
2025Year |
School/Graduate School |
Graduate School of Humanities and Social Sciences (Master's Course) |
Lecture Code |
WKA22000 |
Subject Classification |
Specialized Education |
Subject Name |
リサーチメソッド |
Subject Name (Katakana) |
リサーチメソッド |
Subject Name in English |
Research Method |
Instructor |
KHAN GHULAM DASTGIR |
Instructor (Katakana) |
ハーン グラム ダスタギール |
Campus |
Higashi-Hiroshima |
Semester/Term |
1st-Year, First Semester, 1Term |
Days, Periods, and Classrooms |
(1T) Fri1-4:IDEC 204 |
Lesson Style |
Lecture |
Lesson Style (More Details) |
Face-to-face |
|
Credits |
2.0 |
Class Hours/Week |
4 |
Language of Instruction |
E
:
English |
Course Level |
5
:
Graduate Basic
|
Course Area(Area) |
24
:
Social Sciences |
Course Area(Discipline) |
03
:
Economics |
Eligible Students |
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Keywords |
research design, causal inference, quantitative research, experimental design, observational studies |
Special Subject for Teacher Education |
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Special Subject |
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Class Status within Educational Program (Applicable only to targeted subjects for undergraduate students) | |
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Criterion referenced Evaluation (Applicable only to targeted subjects for undergraduate students) | |
Class Objectives /Class Outline |
This course provides students with foundational knowledge and practical skills in conducting academic research, covering essential steps, methodologies, data collection and analysis techniques, ethical considerations, and effective reporting and presentation of research findings. |
Class Schedule |
lesson1 Introduction to Research Methods: Importance, objectives, and key stages of the research process. lesson2 Types of Research: Exploratory, descriptive, experimental, correlational, qualitative, and quantitative approaches. lesson3 Ethical Considerations in Research: Understanding research ethics and responsible conduct in academic studies. lesson4 Research Topics and Questions: How to select effective research topics and formulate researchable questions. lesson5 Research Design and Sampling: Experimental versus non-experimental research designs; random, stratified, and convenience sampling techniques. lesson6 Quantitative Data Collection: Surveys, experiments, observational methods, and primary versus secondary data sources. lesson7 Qualitative Data Collection: Interviews, focus groups, and developing qualitative data collection instruments. lesson8 Data Analysis and Interpretation: Methods for analyzing quantitative and qualitative data; interpreting and presenting research findings. lesson9 Writing Research Reports and Articles: Report structure, effective academic writing, citation practices, avoiding plagiarism, and the publication process. lesson10 Student Presentations lesson11 Student Presentations lesson12 Student Presentations lesson13 Student Presentations lesson14 Student Presentations lesson15 Student Presentations |
Text/Reference Books,etc. |
Creswell, J. W., & Creswell, J. D. (2018).Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (5th ed.). Thousand Oaks, CA: SAGE Publications.
Babbie, E. R. (2020). The Practice of Social Research (15th ed.). Boston, MA: Cengage Learning.
Angrist, J. D., & Pischke, J.-S. (2015). Mastering 'Metrics: The Path from Cause to Effect. Princeton, NJ: Princeton University Press. |
PC or AV used in Class,etc. |
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(More Details) |
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Learning techniques to be incorporated |
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Suggestions on Preparation and Review |
Before attending the class session, students are required to watch the following two modules from Matt Masten's Bootcamp on Causal Inference:
Module 1: Introduction to Causality Module 2: Experiments
https://mattmasten.github.io/bootcamp/ |
Requirements |
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Grading Method |
Attendance: 30% Class Participation and Quizzes: 30% Final Presentation: 40% |
Practical Experience |
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Summary of Practical Experience and Class Contents based on it |
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Message |
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Other |
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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. |