Mixed Methods Research Flashcards
Worldviews of mixed methods
Pragmatism
Transformative
Two eyed seeing
What dictates the appropriate research design
The research question(s)
When should use mixed methods
Whenever different types of data (numerical and non-numerical)
Newer areas of research (talk to experienced to form framework
What decisions need to be made when planning mixed methods
Implementation sequence
Priority
Integration
Concurrent mixed methods research design
Quantitative and qualitative data collected at essentially same time
Data can be given equal or unequal priority
Sequential mixed methods research design
- two distinct phases
- data collected in first phase analyzed and used to inform second
When can integration of both methods happen
Data collection
Data analysis
Data interpretation
Knowledge translation
- common to converge/merge data at analysis phase
Side by side comparison
- quantitative and qualitative data analyzed separately
- one set of findings presented followed by the other
- helpful when one phase is needed to inform next
Data transformation
Converting one form of data into other form
Qualitize numerical data
Quantitize qualitative data
Two ways of integration
Side by side comparison
Data transformation
Strengths of mixed methods
Offsets weaknesses inherent in one design by using both
Triangulation
Comprehensiveness
Instrument development and testing
Assisting sampling
Enhances generalization
Challenges of mixed methods
Blending philosophical worldviews
Bringing together diverse researchers
Timelines and ressources
Sampling and analysis decisions
Publication and evaluation