week 10 qualitative methods and interviews Flashcards
methodological purposiveness
the method is selected with consideration of the research question and purpose
methodological congruence
the fit between the research question and the method,
research approaches
a) phenomenology
b) ethnography
c) grounded theory
phenomenology
considers the meaning of things in a subjective manner ie how the individual understands something.
eg “What does it feel like to lose a child?” focuses on experiences
grounded theory
a process over time. eg “How do people come to terms with being diagnosed with a chronic illness?focuses on how things change
ethnography
the organization or process that and individual undergoes. eg “How do people hide their eating disorder?” ethnography=study of people in their own environment.focuses on behaviours.
methods
a) interviews;focus groups, structured interviews, unstructured interviews.
b) observation
c) document analysis.
why use qualitative methods?
for the following reasons;
- area with little knowledge
- learn how participants understand something
- discover new theory based on empirical results
- to understand a phenomenon
- to inform re how to undertake future quantitative studies
focus group
homogenous group undergoes interview together.usually 6-12 participants. more efficient than individual interview but some participants may not contribute due to inhibition/others have covered that ground/don’t want to stand out etc etc Less depth and detail than an individual interview.
structured interview
each participant gets same questions in same order. no follow up questions.
unstructured interview
more conversational. no rigid question framework.clarification can be sought.
observational methods
a) participant observation (researcher participates in the activities of the group being studied.
b) structured observation
c) observational episodes
preliminary data analysis
a) initial questioning of data to determine emerging issues/themes
b) analyze data during and post collection to summarise themes
c) at end, all data critiqued to determine if shows broad enough relation/relevance to the research topic.
thematic analysis
engage and re-engage with data. question it, discuss it, discover themes, coding to manage large data sets.