HRS 610 Lecture Notes - Lecture 9: Cluster Sampling, Stratified Sampling, Simple Random Sample
12 Sep 2016
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Document Summary
Do you think this step is always followed: attend to question wording. Avoid asking more than one question at a time. This is a common problem among practitioners. Response options: close vs. open-ended questions, rating scales. Is there a problem with a neutral option on a rating scale: semantic differential scale. What are potential problems with internet surveys: interviews. What does random selection mean: accidental differences between characteristics of sample and population constitute sampling error, the size of sampling error decreases with larger samples. Why is non-random sampling used: simple random sampling. Every member of the population has an equal chance of being included in the sample, and the selection of one member from the population has no effect on the selection of another member. Random sampling reduces the probability that a sample will be biased in some way, especially when the sample size is large. What is used to produce a simple random sample: systematic sampling.
