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

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.
• 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.