PHTY305 Lecture Notes - Lecture 3: Systematic Sampling, Statistical Power, Quota Sampling
Document Summary
Identifies the project: written as a question, objective, aim or hypothesis, usually found in the abstract or at the end of the introduction. Differentiate between independent, dependent, extraneous variables and attributes. Random drawing of numbers from a hat or from a computer generated list of numbers: systematic sampling: Beginning from a random position on a selected named list. Eg to select a sample of 100 students from a list of 1000, every 10th person on the list is selected starting at a random point: stratified random sampling: Involves identifying relevant population characteristics and separating members of a population into homogenous, non over lapping subsets based on these characteristics. Eg investigating attitudes of physiotherapy students to working with the elderly but want to take into account level of experience. Draw a sample of 40 physiotherapy students with equal numbers from different stratified groups. Eg 10 first years + 10 second years + 10 third years + 10 fourth years: cluster sampling.
