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Combining qualitative and quantitative sampling, data collection, and analysis techniques in mixed-method studies.

M Sandelowski1

  • 1University of North Carolina at Chapel Hill, School of Nursing, 7460 Carrington Hall, Chapel Hill, NC 27599, USA.

Research in Nursing & Health
|June 28, 2000
PubMed
Summary
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This study clarifies how to effectively combine qualitative and quantitative research methods. It provides examples for sampling, data collection, and analysis to enhance study scope and analytical power.

Area of Science:

  • Social Sciences
  • Research Methodology

Background:

  • Mixed-method research is increasingly utilized to enhance study scope and analytical power.
  • There is a lack of clear guidance and significant confusion regarding the integration of qualitative and quantitative techniques.

Purpose of the Study:

  • To provide direction and reduce confusion on combining qualitative and quantitative research methods.
  • To illustrate how researchers' orientations and commitments influence the application of mixed methods.

Main Methods:

  • Presents examples of mixed-method sampling strategies, including criterion, random purposeful, and stratified purposeful sampling.
  • Details combinations for data collection, such as using instruments for qualitative description, validation, guiding purposeful sampling, and as interview elicitation devices.

Related Experiment Videos

  • Explains data analysis combinations, including interpretively linking data sets and transformation processes like qualitizing and quantitizing.
  • Main Results:

    • Demonstrates diverse ways to combine qualitative and quantitative sampling techniques.
    • Highlights various applications of instruments in mixed-method data collection.
    • Illustrates methods for integrating qualitative and quantitative data analysis.

    Conclusions:

    • Mixed-method techniques are flexible and not tied to specific paradigms or methods.
    • Effective integration depends on researchers' inquiry orientations and methodological commitments.
    • The study offers practical examples to guide researchers in applying mixed methods effectively.