Simple vs. Stratified Random Sampling: Key Differences Explained

Learn the distinctions between simple and stratified random sampling. Understand how researchers use these methods to accurately represent data populations.
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Using Standard Tools From Finite Population Sampling to Improve Causal Inference for Complex Experiments

This article considers causal inference for treatment contrasts from a randomized experiment using potential outcomes in a finite population setting. Adopting a Neymanian repeated sampling approach ...
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Evaluating Human Genetic Diversity

BASIC SAMPLING STRATEGIES In most research projects, a scientist will determine the optimal sampling design from a specific narrowly defined set of hypotheses to be tested. That design will determine ...