Sampling Flashcards
Why do we sample
feasibility
Goals when creating (drawing) a sample
generalize back to population-representative sample
Probability Sampling
a) random chance is used to select cases
b) each case has a measurable probability of being selected
Target population/study population
group you want to make inferences about
Sampling Frame
list/quasi-list of units from which the sample is selected
Simple Random
A simple random sample is like picking names out of a hat. It’s a method used in statistics where every member of a population has an equal chance of being chosen for a study or survey.
Systematic sample
is like picking every nth item from a list.
Stratified sample
one person in each group
Cluster
randomly choose specific groups
Weights
how much each member counts
post survey weights adjust sample back to target population, but not a substitute for probability sampling
Case-oriented research
small number of cases and enormous amount of detail
variable-oriented research
lots of cases and only certain variables per case
Non-representative samples/non-probability samples
purposive sampling
sequential sampling
Sequential sampling
flexible
key informants
sampling for range
snowball sampling
Benefits
less heterogeneity to manage
can often gather more or better information
