CRIM 320 Lecture 4: Sampling

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Aim to generalize from sample of units to target population. Each unit has a known chance of being selected. Every unit has an equal probability of selection. List all units and number them consecutively. Use random numbers table to select units. Probability: simple random sample, systematic random sample, stratified/hierarchical random sample, multi-stage cluster sample. Only sampling technique that gives a truly random sample. From a random starting point, chooses every nth unit (eg. every 4th person) Ensure sampling frame has no inherent ordering. Relies on a system of selection, allowing others to replicate your sample. Not as well as simple random sample. Series of 2 or more simple random samples operating within the same population. Eg. stats canada 2006 census long-form and short-form questionnaire. Each pop subgroup of interest is adequately represented in stratified sampling. Conducted bc it is possible to miss some populations. Though generating a sample can be a lot of work.

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