FRHD 3070 Lecture Notes - Lecture 10: Subgroup Analysis, Confidence Interval, Sampling Error
19 Oct 2016
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Document Summary
Sampling approaches in which subjective judgements play a role in the selection of the sample. Sampling from a larger population in such a way that the cases in your example fit with certain criteria. Quota sampling: getting a pre-determined number of cases in each of several categories (is a type of convenience sampling) Snowball sampling: start off with a small group, and over time it picks up. Deviant case sampling: sample individuals who are more extreme, who more people don"t fit the general pattern. Sampling approaches in which every member of the population has a possibility of being included in the sample. Population: a group of all cases that fit eligibility criteria. Population element: every unit in that population. Sampling ratio: the ratio between the sample size and the population size. Sampling frame: a list that closely approximates the population. Population parameter: the actual true characteristic of the population. Statistic: the score you actually get when analyze your sample.
