KINE 2049 Chapter Notes - Chapter 2: Multistage Sampling, Royal Institute Of Technology, Quota Sampling
9 Nov 2017
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Sampling and measurement: researchers are usually interested in drawing conclusions about some very large group of people known as population, usually, researchers study a small subset or sample of the population. Improper and biased sampling is the primary reason for wrong inferences reported in opinion polls (e. g. cnn/gallup poll, abc) The sampling process: several stages, population: the group you want to generalize to, sampling frame: a list where you can draw your sample, sample: the actual units selected for observation. Population: defined as all people or items (unit of analysis) with the characteristics that one wishes to study, sometimes population is obvious, and sometimes not. Sampling frame: an accessible section of the target population (usually a list with contact information) Sample: choosing a sample from the sampling frame using a well-defined sampling technique can be grouped in two broad categories, probability (random) sampling, non-probability sampling.
