Main sources of qualitative data
Sampling strategies in qualitative research
Purposeful sampling
The main goal is NOT representativeness, but rather generating the best understanding possible of the phenomenon under examination.
Types of purposeful sampling
Intensity sampling: information rich-cases that experience phenomenon intensely (serial entrepreneurs).
Maximum variation sampling: pick wide range of cases.
Homogeneous sampling: reduce variation to simplify analysis. (freshmen only)
Typical case sampling: picking standard cases.
Critical case sampling: if “true” here, true everywhere.
Snowball sampling: ask to current case the next case.
Criteria sampling: sample base on criteria.
Theory-based sampling:
(Dis)confirming sampling: confirm to refine, disconfirm fro external validity.
Opportunistic or emergent sampling: follow new leads generated during fieldwork.
Purposeful random sampling: systematic way of generating samples in population of interest. To increase credibility not representativeness.
Convenience sampling: DO NOT USE.
Stratified random sampling: sample from subgroups.
Risk of researcher’s role in qualitative research tools
Observation, subjectivity.
Interviews, requires mastery and technique.
Field notes, both facts and observations (separated).
Focus group, Researcher vs moderator.
Video Ethnography, Coding the data is crucial.
Virtual Ethnography, Ethical issues.
Well known non-ethical experiments
Result: The Belmont Report, Basic Ethical Principles in Research with Human Subjects.
What does the Belmont Report consist of?
Process phases in Qualitative Data Analysis with interviews
Transcribe interviews.
Coding, process of abstraction.
Approaches to Coding
Solutions to Validity dangers in qualitative research