Part-time Academic (Envi 5023: Qualitative Data Analysis - Winter 2025)

(ENVI 5023: Qualitative Data Analysis - Winter 2025)

The sessional instructor will teach Qualitative Data Analysis (ENVI 5023) during the 2024/2025 winter term. It is scheduled for 3 hours per week to be held on Tuesdays, from 08:35-11:25. The calendar entry is as follows: The analysis of qualitative data is a rigorous practice that few research students get experience with before they collect their own data. Qualitative data is not synonymous with "data about people" - it is descriptive, observational or graphical data about any phenomenon that defies measurement - but we will focus in this course on understanding the human experience. Prior exposure to the theories and techniques of qualitative data analysis can improve research design and execution. This course will combine theory and practice. Theory will include research design, data collection, and analytical approaches. Practice will involve analyzing a small dataset for themes and interpreting those themes. Throughout, students will carry out a small-scale research project with secondary data, including a research proposal backed up by literature, a coding protocol informed by theory, interpretation and writing up the findings. Students who are undertaking or planning to undertake independent research with and/or about people, and have some background in general research methods, will find it a particularly good fit.

PhD or equivalent experience in related discipline.

All offers of employment as a part-time academic are conditional upon sufficient student enrolment in the course and approval by the University.

All qualified candidates are encouraged to apply; however Canadians and permanent residents will be given priority.

Dalhousie University commits to achieving inclusive excellence through continually championing equity, diversity, inclusion, and accessibility. The university encourages applications from Indigenous persons (especially Mi'kmaq), persons of Black/African descent (especially African Nova Scotians), and members of other racialized groups, persons with disabilities, women, and persons identifying as members of 2SLGBTQIA+ communities, and all candidates who would contribute to the diversity of our community. For more information, please visit www.dal.ca/hiringfordiversity.

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