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what should the research question tell us
it should dictate the disign, eg. exploring age related patterns and experiences of chronic cancer related pain in younger and older patients - shows mixed methods
what is pragmatism
doing what works to find solutions to problems
best way to do research is doing what works at the time for the question, which is incorporating any designs that are appropriate to address the question
what is an example of a mixed methods research
a mixed methods evaluation of a community physical activity program for breast cancer survivors
needs a multidisciplinary research team
Quant: pedometers, questionnaires
Qual: one on one semistructured interviews
what is the impementation sequence
the order in which quant and qual data are collected and analyzed
Implementation: concurrently
doing both at the same time, includes nested designs: one method is primary approach, the other is imbedded in it
implementation: sequentially
data is collected in independent phases (one first, the other second)
what is priority?
does the quant or qual have more priority?
the weight or balance or quant vs qual in the study
what data is give the most credence or importance, how much data is collected from each methodology
not always stated, often clues like number of participants, greater reporting of certain findings
what is integration?
the mixing of information from quant and qual
need to know when and how to mix, should be related to research question
what is converging data at the analysis phase
data analyzed separately, but brought together after independent analysis
side by side comparison, one first then the other
what is data transformation
qualitizing numerical data or quantitize qualitative data (frequency counting)
what are some benefits of mixed methods
neutralizes weaknesses and maximizes strengths of quant and qual designs
improves comprehensiveness
developing and testing instruments
enhancing generalization
what are some challenges to mixed methods
blending different philosophical world views
sampling (who and how many)
timelines and resources
analyses and weight decisions
what type of data is the priority in an explanatory sequential design
quantitative and then qual
what type of data is the priority in exploratory sequential design
qualitative then quant
