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” • Not being quantitative research |