CHYS 2P52 Lecture Notes - Lecture 4: Simple Random Sample, Internal Validity
7 Dec 2017
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Probability sampling overview: simple random sample, systematic, stratified random, proportionate stratified (random, cluster (random) Key similarity between simple random sample and systematic random sample is that each member of the population is equally likely to be chosen. In simple random sample, every selection is made by a process outside of the sample. In a systematic random sample, only the first person is chosen randomly by this way every other selection is made via algorithm (a set sequence: small strata get. Type of sampling has strengths and weaknesses - never attain full probability sampling, because we never know every member of a population, and certainly never have a list of them all (exceptions florida reading researchers; statistics canada surveys) Basic feature of a study that helps qualify/describe the results and their strength. The procedure for every type of probability sampling is to number participants, then apply random procedure to those numbers.
