Any information that has been collected to validate a research findings
Dataanalysis
Involves interpretation of data through analytical and logical reasoning to determine patterns, relationships and trends
Dataanalysis
Systematically arranging and searching for the transcript, manuscript, observation notes and other non-textual material that the researcher has accumulated to understand the phenomenon
Coding
The most important part of the data analysis process, involving subdividing a huge amount of raw information and subsequently assigning them into categories
Coding process
1. Opencoding - divide/break up all data into codes
2. Axialcoding - draw connections between your codes
3. Selectivecoding - select one central category that connect all the categories from your analysis and captures the essence of your research
Qualitative data analysis methods
Content analysis
Narrative analysis
Discourse analysis
Thematic analysis
Content analysis
Systematically analyses a text to identify specific patterns or features
Narrative analysis
Involves identifying, analyzing, and interpreting research participants' stories
Discourse analysis
All about understanding how people communicate with each other
Thematic analysis
Popular qualitative data analysis identifies methods that patterns and themes in data, involving coding the data by assigning it labels or categories