PSY1022 Lecture 13: Psychological Discovery Part 3
13 Oct 2018
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-systematic random sampling: samples are taken at random from the entire population (e. g. , taking every n-th individual on a list, or using a random number generator). -stratified sampling: samples are taken at random from a set of stratified subgroups (e. g. , male, female), where within each subgroup the sample is homogenous. The sample sizes for each subgroup may be of equal size or may be proportionate to each subgroup"s proportion of the population. The key here is that the researcher chooses how to stratify the population (i. e. how do they plan to divide the population, and based on what factor) before taking their samples of each subgroup. -cluster sampling: participants are collected using preexisting groups/clusters (e. g. , households, schools, classes), where within each group the sample is heterogeneous. The premise is that the clusters you select will be homogenous with any other preexisting cluster (however this is not guaranteed). This method is any other preexisting cluster (however this is not guaranteed).
