Data collection and sampling
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Population and sample
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define the target and accessible populations, sampling frame, inclusion criteria, sample, and sample=size rationale
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Sampling and collection
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probability sampling includes simple random, stratified, cluster, and systematic methods; nonprobability sampling includes convenience, purposive, and snowball methods
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surveys, interviews, obbbservation, measurements, and records provide data. State whether data are primary or secondary and document intstruments, units, conditions, timestamps, calibration, and quality checks
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large samples do not remove selection bias, nonresponse, dependence, or measurement error. Record how missing, duplicate, inconsistent, or implausible values are handles; do not silently alter observations to fit expectations
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