Sampling Technique Selector
Select the optimal sampling technique for your research with our comprehensive assessment tool. Answer questions about your population, resources, and research goals to receive tailored sampling recommendations with implementation guidance.
Key Features
- Interactive assessment questionnaire
- Probability and non-probability methods
- Cost and complexity indicators
- Sample size guidance
- Implementation step-by-step guide
- Video tutorial resources
- Export detailed recommendations
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Frequently Asked Questions
What is the difference between probability and non-probability sampling?
Probability sampling (random sampling, stratified sampling, cluster sampling) gives every member of the population a known chance of selection, allowing for statistical generalization. Non-probability sampling (convenience, purposive, snowball, quota) does not provide equal selection chances and is used when random sampling is impractical or when specific characteristics are needed for the study.
How do I determine the right sample size for my research?
Sample size depends on your population size, desired confidence level, margin of error, and statistical power. For quantitative studies, use power analysis calculators. For qualitative studies, sample size is typically smaller and determined by theoretical saturation. This tool provides guidance based on your research design and methodology.
When should I use stratified sampling versus simple random sampling?
Use simple random sampling when your population is homogeneous and you need basic probability sampling. Use stratified sampling when your population has distinct subgroups (strata) and you want to ensure proportional representation of each subgroup, improving precision and allowing subgroup comparisons.
Is this sampling technique selector suitable for dissertation research?
Yes, absolutely. This tool is designed specifically for academic research including dissertations, theses, and grant-funded projects. It helps you justify your sampling decisions, which is a critical component of your methodology chapter.
Can I use convenience sampling for my study?
Convenience sampling can be appropriate for exploratory studies, pilot studies, or when random sampling is not feasible. However, it limits your ability to generalize findings to the broader population. This tool helps you understand when convenience sampling is acceptable and what limitations to acknowledge.