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[A comparison of convenience sampling and purposive sampling].
Lee-Jen Wu Suen1, Hui-Man Huang2, Hao-Hsien Lee3
1Department of Nursing, Chang Jung Christian University, Taiwan, ROC. ljwsuen@mail.cjcu.edu.tw.
Hu Li Za Zhi the Journal of Nursing
|June 6, 2014
Summary
Convenience sampling uses readily available subjects, limiting generalizability in quantitative studies. Purposive sampling involves careful subject selection for rich qualitative data, with sample size determined by data saturation.
Area of Science:
- Research Methodology
- Statistical Sampling Techniques
Background:
- Sampling methods are crucial for research validity.
- Understanding different sampling techniques is essential for appropriate study design.
- Key terms like target population and accessible population define the scope of research.
Purpose of the Study:
- To elucidate the distinctions between convenience sampling and purposive sampling.
- To define fundamental sampling terminology relevant to research.
- To highlight the implications of each sampling method for study generalizability and data richness.
Main Methods:
- Explanation of core sampling concepts: target population, accessible population, simple random sampling, intended sample, actual sample, and statistical power analysis.
- Detailed comparison of convenience sampling and purposive sampling methodologies.
- Discussion of the application of each method in quantitative versus qualitative research.
Main Results:
- Convenience sampling is non-probabilistic, often used in quantitative research, where accessible subjects are prioritized, potentially limiting generalizability.
- Purposive sampling is typically qualitative, involving deliberate subject selection for unique insights, with sample size driven by data saturation.
- In quantitative studies, convenience samples benefit from increased sample size for statistical power, unlike purposive samples.
Conclusions:
- Convenience and purposive sampling represent distinct approaches with different strengths and limitations.
- The choice between convenience and purposive sampling significantly impacts research outcomes and applicability.
- Researchers must carefully consider their study objectives and population when selecting a sampling strategy.
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