Module 4A Mixed Methods Research Designs
Mixed Methods Research Designs
Purpose of Mixed Methods Research
- Combines quantitative and qualitative research methods.
- Aims to develop evidence generalizable to a defined population.
- Three main methods, differing in the ordering and combination of qualitative and quantitative methods.
Exploratory Sequential Mixed Methods Research
- Starts with qualitative data collection and analysis (e.g., focus groups).
- Uses qualitative findings to improve the validity of quantitative measurement methods.
- Advantage: Enhances the validity of measures, leading to stronger conclusions.
Explanatory Sequential Mixed Methods Research
- Starts with quantitative data collection, analysis, and interpretation.
- Uses qualitative methods (interviews, focus groups) to explain the quantitative findings.
- Potentially more applicable in strength and conditioning.
- Combines quantitative and qualitative data to make informed decisions about athletes.
Convergent Parallel Mixed Methods Research
- Collects qualitative and quantitative data simultaneously.
- Compares or relates differences or relationships between variables.
- Interprets and explains the relationships or differences found.
- Unlike sequential methods, combines both models at the same time.
Application in Strength and Conditioning
- Mixed methods research is frequently used.
- Example: Likert scale fatigue monitoring questionnaire.
- Athletes rate fatigue, sleep quality, soreness, stress, and mood on a scale (e.g., 1 to 5).
- Represents the quantitative part of a monitoring program.
- Data from questionnaires informs further questioning.
- If an athlete flags as very tired (e.g., using a Z score or effect size change), follow up with interview-based questions.
- This mixed-method approach optimizes athlete performance by combining subjective and objective data.