CRIM 2653 Lecture Notes - Lecture 6: Nonprobability Sampling, Snowball Sampling, Relate
24 Jul 2020
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Document Summary
Sampling: process of selecting cases from larger group drawing conclusion about the larger group in quantitative, subset from larger population, all cases that share particular characteristics. Non-probability sampling: non-randomly selected, use of judgement for selection, convenience sampling, quick, cheap but non-representative. Purposive sampling: selection through judgment & knowledge, specific or hard-to-reach populations, cannot generalize. Quota sampling: predetermined characteristics, seeking relevant traits, representing differences, accuracy of proportions varies. Snowball sampling: referral from initial informant, sampling network, hard-to-locate populations, trust & rapport, little anonymity. Sample & population: population population may deter in each study, sampling element, sample, population of interest. Target population: specific pool of cases, research design defines target population, exclusion criteria ex. person locked up in immigration detention, from target, selection of sample. Inclusion criteria ex. men and women who are in solitary conferment. Central limit theorem: probability of that samples will be normally distributed, larger sample (approaches) population parameter, population parameter (unknown, must be estimated)
