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What are five types of non-probability sampling?
using available subjects
What is quota sampling?
Selecting particular kinds of people. Talking to a certain number from ear category.
Ex. 30 people that live in dry county and 30 people that live in wet county
What is selecting informants?
finding someone who can tell you about a group of people.
Ex. a member of a book group can tell you about the whole book.
What is snowball sampling?
Finding one person, having them introduce you to others like themselves.
What is purposive sampling?
Seeking out a particular kind of person. Talking to the ones you think will be most useful.
What is using available subjects sampling?
What is cluster sampling?
a method for drawing a sample from a population in two or more stages. Typically done when you can't list the members of a sample but you can list groups of clusters
What is disproportionate sampling?
A procedure in stratified sampling in which the researcher selects a disproportionately large number of subjects from a particular group (stratum)
What is proportionate sampling?
The number of participants that we recruit from each subgroup is equal to their proportion in the population.
What is weighting?
if members of the population have been sampled disproportionately, before researchers can make a representation of the population, they have to weight the responses.
What is random sampling?
Random samples are drawn from within particular categories of the population
What is a false positive?
Type 1 error
What is a false negative?
type 2 error
What are some sources of type 1 and type 2 error?
There is an inverse relationship
Research is biased
Measurement is bad
Other design issues
What is simple random sampling?
Selecting a group of subjects from a sampling frame so that each individual is chosen entirely by chance.
What is systematic sampling?
A sample obtained by taking every “nth” subject after a random start. “n” is calculated by knowing how many subjects you want in your sample.
What is stratified sampling?
Random samples are drawn from within particular categories (or “strata”) of the population.
What is a type 1 error?
Your hypothesis is proven true. But it is proven false in the real world.
What is a type 2 error?
Your hypothesis is proven false, but it is true in the real world.