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What are the four steps/ key features to analyse qualitative data ?
reducing the raw data to something more manageable (requires reading and re-reading of the data)
filtering the important ideas out from the less significant (noting which issues occur the most times within interviews)
identifying important themes
constructing a theory/ hypothesis or narrative account of the analysis
What are the different types of qualitative analysis methods ?
thematic analysis
template analysis
content analysis
document analysis
discourse analysis
narrative analysis
What is thematic analysis ?
widely used in qualitative methods
help researcher to identify patterns of meaning across dataset that provide answer to the research question
What is content analysis and what are its basic methods ?
to determine the presence of certain words within texts or set of texts
basic method : conceptual analysis and relational analysis
What is document analysis ?
documents are interpreted by the researcher to give voice and meaning around an assessment topic
primary types of documents : public records, personal documents, physical evidence
What is narrative analysis ?
take the story as the investigative focus
What is template analysis (Nigel King’s)
refers to a particularly way of thematically analysing qualitative data
What is discourse analysis ?
the study of social life, understood through analysis of language in its widest sense
What are the methods of data analysis ?
manual : very near to your data, know your data well, satisfying data
software : Nvivo, MAXQDA
How should presentation of analysed qualitative data be done ?
the presentation should strike between descriptive and interpretive
What are the ways of organizing and presenting data analysis ?
by groups (themes, patterns and similarities)
individuals
issue or themes
research questions
instruments
writing up qualitative data by one or more
constructing a narrative that may be in the form of technology
How to ensure the trustworthiness of qualitative research ?
the importance of fit ( the themes should fit the data)
integration of theory
reflexivity (the role of researcher in the process is accounted for in the paper)
documentation
theoretical sampling and negative case analysis
sensitivity to negotiated realities (the researcher shows awareness of the context within the process)
transferability (realistic suggestions about the application of the research findings)