SOAN 2120 Lecture Notes - Lecture 24: Random Number Generation, Nonprobability Sampling, Simple Random Sample

• School: University of Guelph
• Department: Sociology and Anthropology
• Course: SOAN 2120
• Professor: D Walters

Document Summary

Do not know the ideal sample size in advance. See the people, ask the people, get the samples: quota. Ensures certain quotas are met, but then relies on haphazard. Decides to have 50 men, 50 women, but then sees the people, asks them. Researcher uses judgement to select cases with a speciic purpose in mind. The purpose is less to generalize to the larger pop, and more to gain a deeper understanding of speciic types. Examples: diicult to reach populaions (hidden populaions in textbook) like prositutes. Researcher goes to places where they can be found, and then talk to everyone you can. Researcher coninues sampling unil all resources (ime, inancial, and energy) are exhausted: sequenial sampling. The researcher stops when the amount addiional informaion is small or negligible. It would not be worth it to coninue going on with interviews because the data received would be too insigniicant, even if there are sill resources: snowball.