Mixed Methods Designs Flashcards
Mixed methods research combines _____ and _____ forms of research.
- quantitative
- qualitative
Quantitative research design:
- test theory
- test status of variables
- relationships between variables
- differences between groups
Qualitative research design:
gain in-depth understanding of complex phenomena
Mixed methods designs is more than simply _____ and _____ quantitative and qualitative data.
- collecting
- analyzing
Mixed methods designs is ______ and ______ mixing of quantitative and qualitative research.
- systematic
- purposeful
Overall strength of mixed methods study is _____ than…
- greater
- either quantitative or qualitative on its own
Key words in mixed methods research:
- collect both quantitative and qualitative data
- integrate data (incl. philosophical assumptions and theoretical frameworks)
- combination provides more complete understanding
The ____ _____ dictates the appropriate research designs.
research question(s)
When should researchers do a mixed methods study?
when the research questions lead to mixed methods designs
Mixed methods research can take many forms, and many decisions need to be made including:
- implementation sequence (timing)
- priority (weighting)
- integration
Implementation sequence:
timing of the quantitative and qualitative components within mixed methods research
2 types of implementation sequence:
- concurrent mixed methods research design
- sequential mixed methods research design
Concurrent mixed methods research design:
quantitative and qualitative data collected essentially at the same time
Sequential mixed methods research design:
involves 2 distinct phases (one and then the other, qualitative followed by quantitative or v.v.)
Priority refers to:
- the weight or emphasis assigned to quantitative and qualitative components
- whether one of the research components will have priority over the other
Integration:
mixing the quantitative and qualitative components
Integration can occur..
- at various stages
- including data generation, data analysis, and interpretation
Key part of integration is deciding…
- when and how to integrate
- driven by research question and initial research planning
Integration often includes:
merging or converging data during analysis
When integrating during data analysis, options include:
- side-by-side comparison (compare)
- independent analysis (no comparison)
- data transformation
Side-by-side comparison:
- quantitative and qualitative data analyzed separately
- one set of findings presented followed by the other
In integration, researchers may need _____ from one phase to….
findings from one phase to plan next phase
In integration, quantitative and qualitative data analyzed _____, and results from the first phase ….
- independently
- inform development of next research phase
Data transformation:
converting one form of data into the other form of data
2 forms of data:
- qualitize numerical data
- quantitize qualitative data
Qualitize numerical data example:
use numerical data to provide description of a sample
Quantitize qualitative data exmample:
count codes or themes (not popular, don’t need numbers in qualitative research)
2 types of concurrent mixed methods designs:
- equal priority
- nested design
2 types of sequential mixed methods designs:
- explanatory sequential design
- exploratory sequential design
Explanatory sequential design:
quantitative –> qualitative
Exploratory sequential design:
qualitative –> quantitative
Describe the implementation sequence, priority, and integration of a study about the following: “does fear of falling among seniors increase risk of falling?”
- sequential
- equal priority
Benefits of mixed methods research:
- neutralizing weaknesses and maximizing strengths of quantitative and qualitative research designs
- triangulation
- comprehensiveness
- instrument developing and testing
- assisting sampling
- enhancing generalization
Assisting sampling example:
survey to figure out who has high self compassion, those who score high on high self compassion you can use in your study as purposeful sample
Challenges of mixed methods research:
- blending philosophical worldview
- bringing together diverse researchers
- timelines and resources (both methods can be very time consuming themselves, so combining them can double that)
- sampling and analysis decisions
- publication and evaluation
