SOC221H5 Chapter Notes - Chapter 7: High School Dropouts, Deeper Understanding, Cluster Sampling
Document Summary
Using probability/random sampling has two motivations: 1. Census: an attempt to count everyone in a target population (takes place in canada every 5 years) Non-random sample: type of sample in which the sampling elements are selected using something other than a mathematically random process. Rarely determine sample size in advance and have limited knowledge about large group/population from which sample is taken. Select cases gradually with specific context of case determining whether it is chosen. Get any cases in any manner that is convenient. Get a pre-set number of cases in each of several predetermined categories that will reflect diversity of population, using haphazard methods. Get all possible cases that fit particular criteria, using various methods. Get cases using referrals from one or few cases, and then referrals from those cases, and so on. Get cases until there is no additional information/new characteristics (*often used with other sampling methods)
