PLG 600 Lecture Notes - Lecture 5: Jargon, Random Number Table, Quota Sampling

• School: Ryerson University
• Department: Planning
• Course: PLG 600
• Professor: Zhixi Cecilia Zhuang

Document Summary

Population and sample: list of the population (sample), not the entire population. Sampling frame is at the centre of the population. Ex: being right in the past 4 times, then increasing the sample size led to a wrong p(cid:396)edi(cid:272)tio(cid:374). If you do(cid:374)"t ha(cid:448)e the (cid:396)ight sa(cid:373)pli(cid:374)g f(cid:396)a(cid:373)e all the data gets ske(cid:449)ed o(cid:396) (cid:449)(cid:396)o(cid:374)g. Random/probability sampling: simple random, purely mathematical random process. Computer software or applications have a random number table. Ex: identify 300 households in the york region and randomly select households generated by the computer: every subject has an equal chance to be selected, systematic random. Divide population into separate g(cid:396)oups k(cid:374)o(cid:449)(cid:374) as (cid:862)(cid:272)luste(cid:396)s(cid:863: widely used in planning practice, ex: divide a geographic region into cities. Ask who would be the best person for a particular survey. Rule of thumb 1: minimum of 30 cases for simple analysis. Rule of thumb 2: smaller population, larger sampling ratio: e. g. margin of error +/-3% & confidence level: 95%