PSY 245 Lecture Notes - Lecture 1: Simple Random Sample, Stratified Sampling, Cluster Sampling

• School: West Chester University
• Department: Psychology
• Course: PSY 245
• Professor: Mc Kibben

Document Summary

Method of choosing a sample in which each individual in the population has an equal chance of being selected. Separate the population into groups or strata based on some characteristics, and then take a proportional simple random sample from each group. Obtained by selecting every k th individual from the population. The first individual selected corresponds to a random number between 1 and k. Used when our population is already naturally broken up into groups (clusters), and each cluster represents the population. That way, we just select a certain number of clusters (do not confuse with stratified sampling). Method of selecting a sample of individuals to study by taking whoever is available or happens to be first on a list. This method of selection can result in a sample that is not representative of the population. The likelihood that an outcome of interest will occur. The result of an experiment or observation.