HLTHAGE 2A03 Study Guide - Final Guide: Nonprobability Sampling, Sampling Frame, Social Desirability Bias
2 Feb 2017
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Quantitative research is what focuses on the numbers, statistics, facts: make inferences about the topic, uses probability sampling (random samples) The chance of getting something is always equal. Population: refers to the large group that is being studied. Target population: refers to the more specific group within the population that they researcher wants to look at. Sampling element: a member of the target audience. Sampling frame: a list of all the units in the population (must be updated and current) Sampling bias: refers to the fact that sampling elements are not representative. Sampling error: refers to how much a sample deviates from being representative of the population. There are various types of probability sampling. Simple random sampling: cases are selected at random from the sampling frame, can be restrictive or unrestrictive (whether the cases can be reused or not, uses a table of random numbers.
