Psychology 2800E Lecture Notes - Lecture 9: University Of Western Ontario, Nonprobability Sampling, Simple Random Sample

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Part 1: definitions: population: entire group that we want to learn about. Groups (e. g. , all clubs on campus; companies on tse; countries in un) Archived material (e. g. , all letters to gazette editor; all course evaluations at western) Abstract things (e. g, outcome of an infinite number of coin tosses: sampling frame: reflects procedures used to identify members of population. Population: all eligible voters; all residents of london. Sampling frame: voter registration lists; phone book listings. Ideally the sampling frame will be the same as the population (so everyone in population is also in sampling frame) Can only generalize findings to the sampling frame: sample: subset of members drawn from sampling frame (e. g. , 100 from voter lists, element: each individual in a sample, sampling methods: Fall into two categories: probability sampling: each member of population [sampling frame] has a known probability of being included in the sample. Produces representative samples (similar to population [sampling frame])

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