chapter 7 Flashcards
the logic of sampling
sampling
process of selecting observations
probability sampling
based on random selection
non-probability sampling
not based on random selection
simple random sampling
random
systematic sampling
every Kth element in a list is selected
stratified sampling
dividing the population into homogenous subgroups and sampling each group (age)
cluster sampling
sampling in stages, selecting natural groups and sampling within those groups (students)
PPS (probability proportionate to size) sampling
clusters are selected with chance proportionate to their size
sampling error
degree to which a sample might differ from population
sampling frame
the list of units from which a sample is selected
representativeness
the extent to which a sampel reflects the population
EPSEM (equal probability of selection method)
design where each population member has the same chance of being selected
population
the entire groups
study population
actual group from which a sample is drawn
snowball sampling
each subject suggests additional people
