SOAN 2120 Lecture Notes - Lecture 20: Sampling Distribution, Simple Random Sample, Cluster Sampling
6 Dec 2016
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Document Summary
9 in the new book, and ch 5 in the old book. Types (page 219, or 109 in old book) Typically do not know what your sample size is in advance. Generally involves surveying people you see as they walk past you. This sample of convenience is not a good, generalizable representation of population. Quota: ensures certain quotas are met, but then relies on haphazard. Purposive: researcher uses judgement when selecting cases with a specific purpose in mind. the purpose is less to generalize to the larger population, and more to gain a deeper understanding of specific types. Go to places where they can be found. Researcher continues sampling until all resources (time, financial and energy) are exhausted. Similar to purposive sampling, but the researcher stops when the amount of additional information is small or negligible. Snowball: uses referrals or networks to draw samples. Implies that they are qualitative researchers doing an interview within a network.
