Series: Practical guidance to qualitative research. Part 3: Sampling, data collection and analysis

Area of Science:

• Primary Care Research
• Qualitative Research Methodology

Background:

• Novice researchers often face challenges with qualitative research methods.
• This series provides practical guidance for conducting high-quality qualitative research in primary care.

Purpose of the Study:

• To address frequently asked questions (FAQs) regarding qualitative research.
• To provide novice researchers with practical guidance on sampling, data collection, and analysis.
• To offer references for judging the quality of qualitative research papers.

Main Methods:

• Flexible data collection plans are essential.
• Sampling strategies should prioritize rich information and align with the chosen methodology.
• Data saturation dictates sample size, varying per study.

Main Results:

• Common data collection methods include participant observation, in-depth interviews, and focus groups.
• Analysis methods (ethnographic, phenomenological, grounded theory, content analysis) yield distinct findings.
• Different analytical approaches result in varied narrative outputs, from cultural descriptions to theories.

Conclusions:

• Effective qualitative research requires adaptable data collection and appropriate sampling.
• Understanding diverse analysis techniques is crucial for generating meaningful findings.
• This article serves as a practical resource for enhancing qualitative research quality in primary care.