Political Science 3324F/G Lecture 9: Week 9: Sampling (includes textbook notes)
25 Jul 2017
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Ignore any random number that is chosen twice do not want to interview twice (without replacement: selecting random sample: Increasing size of a sample increases the precision of estimates from it decreases error. Large sample cannot guarantee precision however larger sample decreases error: non-response, response rate as percentage of sample that actually participates in study. In steep decline for years: non-response bias extent to which people included in the sample differ from the population as a whole. Judgements about eligibility may be incorrect: strengths, cheaper, easier to manage, can be conducted more quickly than random sampling. Purposive sampling: participants are chosen on basis of particular characteristics that will help the researcher to explore the research topic. Adam khimji: more on qualitative sampling, some qualitative researchers engage in theoretical sampling, data are simultaneously collected and analyzed, data collection is determining by whatever theoretical or conceptual issues emerge as study progresses.
