HLTHAGE 2A03 Lecture Notes - Lecture 15: Nonprobability Sampling
9 Dec 2016
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Document Summary
Sampling is used to select participants, observations or artefacts, households, neighbourhoods etc. The unit of analysis is also called a sampling element. Sampling is done because it isn"t always feasible to target entire populations. Probability sampling - enables making a valid and correct inference. The process of sampling is selective and everyone has an equal chance of being chosen for sample. Qualitative scholars use the logic of non-probability sampling. Choices need to be made to know how to put together smaller subsets of the population. Your sampling units depends on paradigm and the research question. Constructivist or struct func paradigms automatically use non-prob sampling. Logic of math and stats is used to determine who is chosen. Random sampling - everyone has a chance to be selected. Non-prob sampling does not work for quantitative research - because not all elements of the population stand an equal chance of selection or it is unrepresentative.
