WK6: QUALITATIVE
Qualitative analysis: examine meaningful and symbolic content of qualitative data
Quantiative analysis Challenges: time consuming, challenging, no step by step process
Thematic coding: theory develops out of data
Memo writing: keep evaluating what you are doing by continuously writing down new info and ideas Analysis considerations: Chronology, key events, various settings, people, process, issues Grounded theory key processes
Open coding – line-by-line reading and interpretation of salient categories
Axial coding – grouping of the first order, or open codes into coherent categories and sub-categories
Selective coding – selecting and validating major categories that outline relationships and interactions between the codes
Constant comparison – comparing views, data, incidents, categories
Consensus coding – measure of reliability of coding Content analysis – transforming large amounts of text into highly organised and concise summary of key results
Inductive content analysis: Open coding Creating categories
Abstraction into themes Deductive content analysis – researcher wishing to retest existing data in a new context
Qualitative analysis: examine meaningful and symbolic content of qualitative data
Quantiative analysis Challenges: time consuming, challenging, no step by step process
Thematic coding: theory develops out of data
Memo writing: keep evaluating what you are doing by continuously writing down new info and ideas Analysis considerations: Chronology, key events, various settings, people, process, issues Grounded theory key processes
Open coding – line-by-line reading and interpretation of salient categories
Axial coding – grouping of the first order, or open codes into coherent categories and sub-categories
Selective coding – selecting and validating major categories that outline relationships and interactions between the codes
Constant comparison – comparing views, data, incidents, categories
Consensus coding – measure of reliability of coding Content analysis – transforming large amounts of text into highly organised and concise summary of key results
Inductive content analysis: Open coding Creating categories
Abstraction into themes Deductive content analysis – researcher wishing to retest existing data in a new context