A Brief Quiz on Chapter 11
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Random sampling is completed so that any errors are accidental and not systematic.
Sampling error consists of mistakes researchers make when securing a sample from the population.
Cluster samples are defined based on the known proportions within the population and random sampling is completed within each group.
A random sample is one that accurately reflects characteristics of the population from which it was drawn.
When small samples are used, only very big effects stand out from background variation.
Known group sampling selects events based on referrals from initial informants.
If a research article announces that random sampling is used, it is a safe conclusion that proper protocols were satisfied for this sort of sampling.
For studies attempting to validate new measurement instruments, a sample size of at least 30 is sufficient.
A confidence interval reveals the probability that sample statistics "capture" population parameters, within certain margins for error.
Sampling error can be computed for both probability and nonprobability sampling methods.
If random assignment to experimental and control conditions is employed, samples of volunteers provide reactions that represent the population.