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Designs combining quantitative and qualitative approaches to collecting, analyzing, interpreting, and reporting data
Advantages Incorporates the strengths of both qualitative and
quantitative approaches Provides a more comprehensive view of the phenomena
being studied Does not limit the data being collected
Explanatory designs Quantitative data are collected first with qualitative data
collection following Use of a questionnaire to provide an overview of
students’ attitudes toward drug testing programs followed by several in-depth interviews of specific students with positive and negative attitudes (i.e., maximum variation sampling) to understand how those attitudes were shaped.
Exploratory designs Qualitative data are collected first with quantitative data
collection following A few interviews with students and a content analysis of
several surveys allowed a researcher to determine the important factors around which an attitudinal scale on drug testing programs was developed. Administration of this survey gave an overall view of students’ attitudes to a specific program being used at a local school.
Triangulation designs Quantitative and qualitative data are
collected at the same time to provide a more comprehensive and complete set of data
The use of a scale addressing attitudes toward drug testing programs could be administered to the students in a school. Information from focus groups and interviews could be used to confirm the conclusions drawn from the survey.
Seven steps to conduct mixed method research Determine the feasibility of a mixed method design Determine the rationale for a mixed method design Determine the data collection strategies and designs Determine the specific research questions Collect data Analyze data Write the report
Benefits of Action Research Creates mindset for school improvement Enhances decision-making Promotes reflection and self-assessment Instills a commitment to improvement Creates a more positive school climate Impacts practice directly Empowers those to participate