Mixed Methods Design – Flashcards
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Mixed Method Assumptions
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Pragmatists Explain something Truth is "what works" Researcher and outcomes
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Paradigm: Pragmatists
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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?
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Mixed Method Research: Method
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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
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Mixed Method Research: Premise
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Mixing quantitative and qualitative approaches allows us to better understand the problem than each approach alone and develop a practical solution
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Mixed Method Research: Data Collection
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Combine data from quantitative and qualitative research
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Mixed Method Research: Data Analysis
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Combine data analysis outcome:
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Mixed Method: Quantitative Data Analysis for:
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Describing, comparing, inferring and predicting
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Mixed Method: Qualitative Data Analysis for:
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Uncovering, meaning, understanding persepectives
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Both approaches Quant and Qual follow
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Standards of Rigor
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Advantages to Mixed Method Approach
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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
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Core Characteristics of Mixed Method Approach
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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
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Mixed Method Designs (4)
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Triangulation Explanatory Exploratory Embedded
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Triangulation (Concurrent) Design
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Information from different perspectives
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Explanatory Design
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QUAN Data --> QUAL Data --> Final Interpretation
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Exploratory Design
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QUAL Data --> QUAN Data --> Final Interpretation
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Exploratory Examples
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Explore a phenomenon Develop instrument Develop a theory
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Embedded Designs
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Qual Quan One data set provides a secondary role
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Comparision of Mixed Method Approaches
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Qualitative Research Question
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Broad central question with more specific subquestions Verbs: Discover, explore, understand
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Quantitative Research Question
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Narrow question Hypothesis about relationship among variables Determine, relate, impact, rate, effect, compare
