Week 9 Flashcards
Qualitative Research definition
The process of understanding based on distinct methodological traditions of inquiry that explore a social or human problem. The researcher builds a complex, holistic picture, analyses words, reports detailed views of informants, and conducts the study in a natural setting
Qualitative Method
Qual starts with specific examples, analyzes to generate theory
Quantitative Method
Quan starts with a theory, tests via specific examples to prove or disprove that theory
Dependability
Showing that the findings are consistent and could be repeated (Reliability)
Confirmability
A degree of neutrality or the extent to which the findings of a study are shaped by the respondents and not research bias, motivation, or interest. (Objectivity)
Credibility
Confidence in the ‘truth’ of the findings. (Internal Validity)
Transferability
Showing that the findings have applicability in other context. (External validity)
Methodology
The strategy, plan of action, the way that you group together your research techniques to make the ‘grand design’
Methods
What you actually do, the techniques and procedures you use to gather and analyze data/evidence related to a specific research question or hypothesis
Qualitative Research Methods
Phenomenology
Ethnography
Grounded Theory
Phenomenology
To describe one or more individuals’ experience of a phenomenon
In-depth interviews
Eg (Barriers of Dutch Individuals with Lower Limb Amputations)
Ethnography
To describe the cultural characteristics of a group of people
Interviews with informants & Participant observations
Eg (Sport & Physical Activity in Spanish Prison)
Grounded Theory
To inductively generate a grounded theory describing and explaining a phenomenon
Interviews & Observations
Eg (Expertise Batting in Cricket)
Ways of Analysing Qualitative Data
7 ways in total:
Ethnographic analysis
Structured analysis
Content analysis
Axial coding and constant comparison
Inductive & deductive analytical procedures
Post-structuralism approach
Feminist approach
Stages of Data Coding
- Data is read carefully, statements are identified and assigned a code
- Reread all the transcripts. Fit into categories.
- Further codes be developed. Axial coding
- Look more patterns & explanations