Sampling Methods in Research
Sampling is the process of selecting a subset of individuals, observations, or units (the sample) from a larger population to study. Sampling methods are broadly classified into probability (random) and non-probability (non-random) approaches. Probability methods—random sampling, stratified sampling, cluster sampling, systematic sampling—enable statistical inference to the population and allow calculation of confidence intervals and margins of error. Non-probability methods—convenience, purposive, snowball, quota sampling—are practical for exploratory or qualitative research but do not support formal statistical generalization. Cochran's Sampling Techniques (1977) and Kish's Survey Sampling (1965) are foundational references; modern applications span surveys, experiments, qualitative studies, and clinical trials.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
- Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. · URL
- Kish, L. (1965). Survey Sampling. John Wiley & Sons. · URL
- Patton, M. Q. (2015). Qualitative Research & Evaluation Methods (4th ed.). SAGE Publications. · URL
精选声明
声明已持久化到证据分类账中，每个声明都有自己的评估。
当分类账中没有声明时，此视图不会自行创建声明评估。
相关方法
从方法图中生成，显示为机器建议的关系 — 不推断任何证据声明。