CRIM 220 Chapter Notes - Chapter 8: Stratified Sampling, Confidence Interval, Simple Random Sample

• School: Simon Fraser University
• Department: Criminology
• Course: CRIM 220
• Professor: William Glackman

Document Summary

It"s (cid:374)ot possi(cid:271)le to (cid:272)olle(cid:272)t i(cid:374)for(cid:373)atio(cid:374) fro(cid:373) all perso(cid:374)s/other u(cid:374)its (cid:449)e (cid:449)ish to stud(cid:455) It"s (cid:374)ot (cid:374)e(cid:272)essar(cid:455) to (cid:272)olle(cid:272)t data fro(cid:373) all perso(cid:374)s/other u(cid:374)its. Generalize from observations to a wider population. Important goal: reduce/understand potential biases that may be at work in selecting subjects. Probability sampling helps researchers generalize form observed cases to unobserved ones. Sampling: selecting some units of a larger population for further study. Select samples to represent some larger population of people or other things. Generalize from a sample to an unobserved population the sample is intended to represent. Probability sampling: samples are selected in accord with probability theory -> involving random selection mechanism. Specific types: area probability sampling, equal probability of selection method (epsem), simple random sampling, systematic sampling. The probability that an element will be included in a sample is known. Type of sampling that enables us to make statistical generalizations to a larger population.