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Page 2
Types of research problems
Data collection
Data analysis
• Assessing complex multi-component interventions or systems (of change) • What works for whom when, how and why?
• Focussing on intervention improvement
• Document study• Observations (participant or non-participant)• Interviews (especially semi-structured)
• Focus groups
• Transcription of audio-recordings and field notes into transcripts and protocols• Coding of protocols
• Using qualitative data management software
Mixed and multi-method
How to assess
How not to assess
• Combinations of quantitative and/or qualitative methods, e.g.: • convergent parallel: quali and quanti in parallel • explanatory sequential: quanti followed by quali • exploratory sequential: quali followed by quanti
• Checklists• Reflexivity• Sampling strategies• Piloting• Co-coding• Member checking
• Stakeholder involvement
• Protocol adherence• Sample size• Randomization• Interrater reliability, variability and other “objectivity checks”
