HE201 Lecture Notes - Lecture 13: Simple Random Sample, Stratified Sampling, Operational Definition
12 Oct 2013
School
Department
Course
Professor
Document Summary
The process of choosing members of a population to be included in a sample. Research uses data from a sample to make inferences about a population. The defined group of individuals from which a sample is drawn. Goal: generalize results from the limited setting in which they were originally obtained to a larger population. When results are generalizable, they can be applied to different populations in different settings. If you select sample effectively, your results will be generalizable. You are trying to create a mini population . The likelihood of any one member of pop being selected is known. 8000 wlu students, sample 200, probability is 0. 025. Likelihood of selecting any one member of the pop is not known. I. e. , telephone book sampling not good, because not everyone is not in the phonebook (people will be left out of sampling) Each member of the pop has an equal and independent chance of being selected as part of the sample.
