7.7 Sampling Techniques Flashcards
In ____ sampling, each member of the population has a specific probability of being chosen.
probability
There are ___ basic techniques for sampling individuals from a population: probability sampling and non-probability sampling.
two
In ____ sampling, we don’t know the probability of any particular member of the population being chosen.
non-probability
With ____ ____ sampling, every member of the population has an equal probability of being selected for the sample.
simple random
In ____ ____ sample, the population is divided into subgroups (aka strata), and random sampling techniques are then used to select sample members from each stratum.
stratified random
Stratified random sampling has the advantage of a built in assurance that the sample will ____ reflect the numerical composition of the various subgroups.
accurately
When is important to represent a small group within a population, researchers will “____” that group to ensure that a representative sample of the group is surveyed.
oversample
Rather than random sampling from a list of individuals, the researcher can identify “clusters” of individuals and then sample from these clusters.
Cluster sampling.
Non-probability sampling are quite ____. A population may be defined, but little effort is expended to ensure that the sample accurately represents the population.
arbitrary
One form of non-probability sampling is ____ sampling, which could be called a “take them where you find them” method of obtaining participants.
Haphazard
A second form of non-probability sampling is ____ sampling. The purpose is to obtain a sample of people who meet some predetermined criterion.
purposive
A third non-probability sampling is ____ sampling. A researcher who uses this technique chooses a sample that reflects the numerical composition of various subgroups in the population.
quota
