HSS 3101 Lecture Notes - Lecture 9: Sampling Probability, Nonprobability Sampling, Quota Sampling

• School: University of Ottawa
• Department: Health Sciences
• Course: HSS 3101
• Professor: Jason Steffener

Document Summary

Sampling: select subet of units froma population to collect info to draw inferences about whole pop. I(cid:374)(cid:272)lusio(cid:374) pro(cid:271)a(cid:271)ility (cid:272)a(cid:374)"t (cid:271)e (cid:272)al(cid:272)ulated due to sele(cid:272)tio(cid:374) (cid:271)ias so (cid:272)a(cid:374)"t produ(cid:272)e relia(cid:271)le esti(cid:373)ates: used often to generate ideas, preliminary step or as a follow-up step, do(cid:374)"t k(cid:374)o(cid:449) su(cid:271)je(cid:272)t pool, just re(cid:272)ruit a(cid:374)d ask for (cid:448)olu(cid:374)teers. Six types of non-probability sampling: haphazard (cid:862)(cid:373)a(cid:374) i(cid:374) the street(cid:863, limitations biases based on the person. Inferences can be made about pop since they are randomly selected and have a non-zero inclusion probability. If r is