COM 381 Lecture Notes - Lecture 4: Nonprobability Sampling, Operational Definition, Statistical Population
21 May 2020
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Take care of this problem through sampling. We wish to take the knowledge we have obtained and apply it elsewhere. All people (cases) who possess the characteristic of interest. Parameter: relevant characteristic of the population that you are interested in studying. Set of all cases from which a sample is actually selected. Will select specific cases to be in study. Consists of that set of cases that i will actually study. Group of people of units of analysis of which we take data. Biased: draw generalizations to population, not good. The chances of selecting a particular case is known. 1% probability that i select case a. Advantage for probability sampling: remove researcher bias - random selection, because cases have been randomly selected, can apply the rules of mathematical probability to determine the accuracy of the sample - important. Process that gives each case in the population an equal chance of being selected to be included in the sample.
