BMKT 312 Sampling 1 Study Guide

# Convenience sample a nonprobability sample in which

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Unformatted text preview: a series of successive decisions. Convenience sample A nonprobability sample in which population elements are included in the sample because they were readily available. Judgment sample A nonprobability sample in which the sample elements are handpicked because they are expected to serve the research purpose. Snowball sample A judgment sample that relies on the researcherâ€™s ability to locate an initial set of respondents with the desired characteristics. Quota sample A nonprobability sample chosen so that the proportion of sample elements with certain characteristics is about the same as the proportion of the elements with the characteristics in the target population. Simple random sample A probability sampling plan in which each unit included in the population has a known and equal chance of being selected for the sample. Systematic sample A probability sampling plan in which every ith element in the population is BMKT 312 Sampling 1 Study Guide . 5 selected for the sample pool after a random start. Sampling interval The number of population elements to count (k) when selecting the sample members in a systematic sample. Total sampling elements (TSE) The number of population elements that must be drawn from the population and included in the initial sample pool in order to end up with the desired sample size. Stratified sample A probability sample in which (1) the population is divided into mutually exclusive and exhaustive subsets, and (2) a simple random sample of elements is chosen independently from each group or subset. Cluster sample A probability sampling plan in which (1) the parent population is divided into mutually exclusive and exhaustive subsets and (2) a random sample of one or more subsets (clusters) is selected. Area sample A form of cluster sampling in which areas (for example, census tracts, blocks) serve as the primary sampling units. The population is divided into mutually exclusive and exhaustive areas using maps, and a random sample of areas is selected. BMKT 312 Sampling 1 Study Guide ....
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