Flashcards in 7.7 Sampling Techniques Deck (12)
There are ___ basic techniques for sampling individuals from a population: probability sampling and non-probability sampling.
In ____ sampling, each member of the population has a specific probability of being chosen.
In ____ sampling, we don't know the probability of any particular member of the population being chosen.
With ____ ____ sampling, every member of the population has an equal probability of being selected for the sample.
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 sampling has the advantage of a built in assurance that the sample will ____ reflect the numerical composition of the various subgroups.
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.
Rather than random sampling from a list of individuals, the researcher can identify "clusters" of individuals and then sample from these clusters.
Non-probability sampling are quite ____. A population may be defined, but little effort is expended to ensure that the sample accurately represents the population.
One form of non-probability sampling is ____ sampling, which could be called a "take them where you find them" method of obtaining participants.
A second form of non-probability sampling is ____ sampling. The purpose is to obtain a sample of people who meet some predetermined criterion.