HLTHAGE 2A03 Lecture Notes - Lecture 8: Nonprobability Sampling, Quota Sampling, Snowball Sampling
19 Jan 2018
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Document Summary
Population and sample: population as a whole, representative part of a population, a small part or quantity intended to show what the whole is like, a subset containing the characteristics of a larger population. Samples are used in statistical testing when population sizes are too large for the test to include all possible members or observations. Population and sample: used to select units for a study. Called a sampling element: relates to issues of time and cost, purpose for quantitative and qualitative researchers differs. Qualitative: understand social life; uses non-probability sampling. The logic of sampling: refers to the choices made by the researcher. Using data to say something (make an inference) with confidence, about a whole (population) based on the study of only a few (sample) Types include: haphazard, accidental, or convenience sampling, quota sampling, purposive sampling, snowball sampling, sequential sampling.
