Mixed Methods Design

Mixed Method Assumptions
Explain something
Truth is “what works”
Researcher and outcomes
Paradigm: Pragmatists
Meaning lies in the practical outcome
Value of research is practical application
Explanatory hypotheses…..a middle ground between straight deductive hypothesizing and inductive theory- building to promote practical use
Knowledge is an instrument for adapting to reality and controlling it (via solutions)
Real-life problems
Truth: Does it work?
Mixed Method Research: Method
the collection and analysis of quantitative and qualitative data in a single study. Data can be collected at the same time or in phases and integrated at one or more stages in the research process
Mixed Method Research: Premise
Mixing quantitative and qualitative approaches allows us to better understand the problem than each approach alone and develop a practical solution
Mixed Method Research: Data Collection
Combine data from quantitative and qualitative research
Mixed Method Research: Data Analysis
Combine data analysis outcome:
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Mixed Method: Quantitative Data Analysis for:
Describing, comparing, inferring and predicting
Mixed Method: Qualitative Data Analysis for:
Uncovering, meaning, understanding persepectives
Both approaches Quant and Qual follow
Standards of Rigor
Advantages to Mixed Method Approach
Enables a stronger understanding and interpretation–Explain quantitative data
Addresses limitations of each method
Triangulates information
Gain various perspectives (compare)
Practically “tests” a theory
Increases Validity of your Outcome
Core Characteristics of Mixed Method Approach
Develop research questions reflecting need for both QUAL and QUAN approaches
Collect and analyze QUAL and QUAN data using rigorous methods
Integrate data at the same time- OR so they build upon each other
Identify a priority (if any)
Communicate unique interpretation
Mixed Method Designs (4)
Triangulation (Concurrent) Design
Information from different perspectives
Explanatory Design
QUAN Data –> QUAL Data –> Final Interpretation
Exploratory Design
QUAL Data –> QUAN Data –> Final Interpretation
Exploratory Examples
Explore a phenomenon
Develop instrument
Develop a theory
Embedded Designs
One data set provides a secondary role
Comparision of Mixed Method Approaches
Qualitative Research Question
Broad central question with more specific subquestions
Verbs: Discover, explore, understand
Quantitative Research Question
Narrow question
Hypothesis about relationship among variables
Determine, relate, impact, rate, effect, compare