What you will learn in Qualitative Research Methods Course
- Foundational principles of qualitative inquiry
- Data collection techniques (interviews, focus groups, observations)
- Thematic analysis and coding methodologies
- Ensuring rigor and trustworthiness in qualitative research
- Ethical considerations in qualitative studies
- Mixed-methods research designs
- Presenting qualitative findings effectively
Program Overview
Qualitative Research Foundations
⏱️ 2 weeks
- Covers epistemological underpinnings, research paradigms (constructivism, interpretivism), and qualitative vs. quantitative approaches.
- Includes developing research questions.
Data Collection Methods
⏱️2 weeks
- Teaches semi-structured interviewing, observational techniques, and document analysis.
- Features practice developing interview guides and consent forms.
Data Analysis Approaches
⏱️ 2 weeks
- Addresses memory systems, learning theories, and intelligence testing.
- Includes problem-solving experiments and language acquisition studies.
Ensuring Quality & Ethics
⏱️ 2 weeks
- Addresses member checking, triangulation, and ethical dilemmas. Covers IRB protocols and positionality statements.
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Job Outlook
- Professional value: Essential for social scientists, UX researchers
- Salary potential: Qualitative researchers earn 65K110K
- Industry demand: Growing need in healthcare, market research
- Certification benefit: Counts toward research methodology credit
Specification: Qualitative Research Methods
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FAQs
The course includes eight in-depth modules, covering:
- Philosophy of Qualitative Research: ontology, epistemology, phenomenology, hermeneutics.
- Observation techniques (ethnography, participant observation), practices, and data description.
- Good practices: triangulation, reflexivity, theoretical saturation, criteria for robust research.
- Qualitative interviewing techniques, building rapport, probing, and behaviour.
- Qualitative analysis methods: coding, framework analysis, interpretative strategies.
- Writing, mixing methods, and ethics: handling mixed-methods, responsible writing, and ethical considerations.
- Yes—according to reviews, students engage actively with data collection through observation and interviews, not just passive viewing. Coding and analysis of real-world data are central to learning.
- Hands-on exercises include observation, interviewing, thematic analysis, and detailed data interpretation.