Mixed Method Designs

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Mixed Method Designs
(Quantitative and Qualitative)
Agenda:
Definition and Purpose
Characteristics
Types of Mixed Method Designs
Strengths and weaknesses of Mixed Method Research
Steps in Conducting a Mixed Method Research Study
Criteria for evaluating a Mixed Method Design

Mixed Method Design
A mixed methods research design is a procedure for collecting, analyzing, and “mixing” both quantitative and qualitative research and methods in a single study to understand a research problem.
To utilize this design effectively, you must understand both quantitative and qualitative research.
Philosophical Approaches

Quantitative Research
A type of educational research in which the research decides what to study; asks specific, narrow questions,
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Alternatively, a reason for conducting a mixed methods study might be that you seek to ex­plain in more detail through qualitative research the initial quantitative statistical results (i.e., ex­planatory design). Another justification results from combining the "best" of both quantitative and qualitative research (i.e., triangulation design).

Characteristics of mixed method designs: (quanti. And quali. Forms of data)
In any mixed methods study, you should clearly indicate that you are collecting both quantitative and qualitative data. Methods of data collection are typically associated with either numbers or numeric data and words or text and image data. Mixed methods researchers collect both quanti­tative and qualitative data.

Characteristics of mixed method designs: (priority)
Mixed methods researchers advance the weight or priority to the collection of quantitative and qualitative data. Three options are available to the researcher for prioritizing data:
Quantitative and qualitative data are of equal weight.
Quantitative data is of greater weight than qualitative data
Qualitative data is of greater weight than quantitative data

Weight or priority means that the researcher in a mixed methods design places more em­phasis on one type of data than other types of data in the research and the written report. This emphasis may result from personal experience with data collection, the need to understand one form of data before proceeding to the next, or the
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