Sampling Flashcards
(17 cards)
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
Weaknesses
can not generalize
