Qualitative Research Methods
| Numbering Code |
G-ECON31 5A420 LE43 G-ECON31 5A420 LE31 G-ECON31 5A420 LE82 |
Year/Term | 2022 ・ Second semester | |
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| Number of Credits | 2 | Course Type | Lecture | |
| Target Year | Target Student | |||
| Language | English | Day/Period | Thu.2 | |
| Instructor name | Hart Nadav FEUER (Graduate School of Agriculture Associate Professor) | |||
| Outline and Purpose of the Course |
Students joining this course will encounter a range of qualitative research methods and learn how someone limited to one social science background (economics, sociology or other humanities) can potentially integrate these methods into their research and/or analysis. The first part of this intensive course is designed primarily for the early graduate students and those who have yet to conduct their primary research, as it provides guidance about the design, proposal and execution of qualitative research methods. The second part of the course is designed for students at all graduate levels, but can be especially timely for 2nd year students and later who are beginning their data analysis. It presents a range of methods and options for the analysis of qualitative data, regardless of which form it is in (interviews, archives, multimedia, etc.). |
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| Course Goals | To survey a range of qualitative research and analytical methods in order for students to choose the tools that are best suited for the research they are preparing or analyzing, and to understand how to implement them. | |||
| Schedule and Contents |
Module 1: Research Methods for Data Collection 1. Introduction: Your Progress/Experience & Asking the Tough Question 2. Meet-n-Greet with Life History & What is a Case Study, really? 3. Methods for Observation and Open-ended Research 4. Semi-structured: Interviews and Interview Protocols 5. Semi-structured: Practical Day 6. Focus Groups: Practical Day 7. Unconventional data sources and Creative methods 8. Field Notes and Data management 9. Data transformation: digitization, transcription, quantification Module 2: Analytical Methods 10. Matching data to analytical methods 11. Mixed Methods 12. Mixed Methods: Practical Day 13. Qualitative Content Analysis 14. Qualitative Content Analysis: Practical Day 15. Feedback session |
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| Evaluation Methods and Policy | Grading will be carried out on a basis of attendance (10%); participation in class/group activities [20%], one methods critique homework [35%], and reflection essay [35%]. | |||
| Course Requirements | English language ability sufficient to interact actively in class discussions and read average-level academic articles. | |||
| Study outside of Class (preparation and review) | Basic reading / skimming of critical articles prior to each class is required. In addition, some homework doing "lite" analysis for practice will also be expected. | |||
| Textbooks | Textbooks/References | Readings will be made available in PDF through PandA. All readings will be labeled depending on their importance: (a) Required, (b) Suggested, (c) Recommended, and (d) Optional. | ||
| References, etc. | Other reference literature will be made available on PandA. They will be labeled "Reference", and are useful for students wishing to dig deeper into a specific method. | |||
