RESEARCH METHODS FOR PUBLIC POLICY
Instructional goals
To provide students with a comprehensive understanding of social research methods, with particular focus on their application in public policy. Students will learn to critically evaluate research designs, formulate research questions, and understand both qualitative and quantitative methods. Students will be prepared to design and conduct their own public policy research projects, including data collection, analysis, and interpretation.
Intended learning outcomes
By the end of the course, students should be able to:
1. Understand key research designs used in public policy research, including experiments, cross-sectional studies, case studies, and comparative research.
2. Formulate research questions and develop a coherent literature review.
3. Design surveys and interviews, and critically evaluate the reliability and validity of these tools.
4. Apply sampling techniques and understand potential biases in research.
5. Conduct quantitative data analysis using statistical methods, including basic statistical software tools.
6. Present research findings effectively in both written and oral forms.
Course Contents
This course provides a comprehensive introduction to social research methods, with a particular focus on their application to public policy. Students will explore both quantitative and qualitative research techniques, including designing surveys, conducting interviews, analyzing data, and evaluating research findings. Key topics include research design, sampling techniques, structured interviews, self-completion questionnaires, data analysis, and addressing biases in social research. By the end of the course, students will be prepared to formulate research questions, conduct public policy research, and present their findings in both written and oral formats.
Reference Books
Alan Bryman, Social Research Methods, Oxford University Press, 2021
Teaching Methods
Lectures, class discussions, student presentations.
Assessment Method
Homework assignments, two papers and presentations.
Thesis assignment criteria
Minimum grade of 27 and contact the instructors.
Week 1
Lecture (Week) 1: Introduction to social research; Research design
Lecture 2: Research questions, literature review
Week 2
Lecture 3: Quantitative research and sampling
Lecture 4: Structured interviews and questionnaires
Week 3
Lecture 5: Self-completion questionnaires; Structured observation
Lecture 6: Content Analysis
Week 4
Lecture 7: Secondary analysis, statistics
Lecture 8: Quantitative data analysis I
Week 5
Lecture 9: Quantitative data analysis II
Lecture 10, 11: Student Presentations
Week 6
Lecture 12: The nature of qualitative research
Lecture 13: Sampling in qualitative research
Week 7
Lecture 14: Ethnography and participant observation
Lecture 15: Interviewing in qualitative research
Week 8
Lecture 16: Focus groups
Lecture 17: Language in qualitative research
Week 9
Lecture 18: Documents as sources of data
Lecture 19: Qualitative data analysis
Week 10
Lecture 20: Breaking down the quantitative/qualitative divide
Lecture 21: Mixed methods research: combining quantitative and qualitative research
Week 11
Lecture 22: Student Presentations
Week 12
Lecture 23: Student Presentations