HLTD04H3 Chapter Notes -Simple Random Sample, Nonprobability Sampling, Quota Sampling
Document Summary
Biases in sampling due to: not all students available at the same time, may have exclusions, the decisions about whom to approach may be influenced by judgments, anyone not enrolled in that specific course will get excluded. Element/ unit- a single case in the population, usually a person. Population-all cases about which one seeks knowledge. To which the researchers conclusions are meant to apply. Sampling frame: the list of elements from which the sample will be selected. Sample- the elements selected for investigation, a subset of population. Representative sample- a sample that is microcosm of the population. Probability sample- a sample selected using a random process. Non-probability sampling- a sample selected using non random method. Giving some units a better chance to be selected. Sampling error- errors of estimation that occur if there is a difference between the characteristics of sample and a population from which it was selected.