PSY 3001W Lecture Notes - Lecture 13: Sampling Frame, Simple Random Sample, Shere Hite

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2 Nov 2015
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Interviews: questionnaires, inexpensive, difficult to motivate respondents, neither respondent nor researcher can seek clarification, response rate can be low, response bias: some individuals chosen to respond to a survey systematically fail to do so. [samplings: selecting a sample to draw conclusions about the population, confidence interval, example. We have 95% confidence that the true population mean falls within a given range. (*) 46% of voters chose candidate x. 5%. (=) we are 95% confident that the true population value is between 41% and 51%. Increasing precision in your estimates (decreasing the size of the confidence interval): increase representativeness, representative sample sample characteristics closely match population characteristics. Literary digest poll during the 1936 presidential election: roosevelt vs. Sampled by drawing names from telephone directory and vehicle registration lists: problem, in the 1930s, most wealthy folks owned telephones and cars, therefore wealthy folks were overrepresented in sample.

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