ADM 3323 Lecture Notes - Lecture 13: Quota Sampling, Central Tendency, Snowball Sampling
31 Oct 2016
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Class 13, chapter 16 in old version, 12 in new version. Any complete group of elements that share some common set of characteristics. Population element: an individual member of a population. Census: an investigation of all the individual elements that comprise a population. Sample: a subset, or some part, of a larger population. For pragmatic reasons: budget and time constraints, limited access to total population. Accurate and reliable results: properly selected samples can yield reasonably accurate information, strong similarities in population elements make sampling possible, samples are more accurate than a census. Types of probability sampling: simple random sampling. Draw from a hat: everyone has an equal chance: systematic sampling. Pick at starting point and then every nth number will get picked: stratified sampling. Divide your total population into subsamples, then draw randomly from each stratum. Can be proportionate (representative) or disproportionate (size allocated. Obtain those people that are the most accessible: purposive (judgment) sampling:
