Chapter 10 Flashcards
The aggregate of cases in which a researcher is interested
Population
Selection of a portion of the population (a sample) to represent the entire population
Sampling
Subpopulations of a population (e.g., male/female)
Strata
The entire population of interest
Target Population
The portion of the target population that is accessible to the researcher, from which a sample is drawn.
Accessible population
A sample whose key characteristics closely approximate those of the target population—a sampling goal in quantitative research.
Representative sample
HOw is representative sampling achieved?
Probability sampling
Homogeneous populations
Larger samples
The systematic over- or under-representation of segments of the population on key variables when the sample is not representative.
Sampling bias
Differences between sample values and population values.
Sampling error
Involves random selection of elements: each element has an equal, independent chance of being selected
Probability sampling
Does not involve selection of elements at random
Non-probability sample
Examples of non-probability sampling
Convenience sampling
Snowball (network) sampling
Quota sampling
Purposive sampling
Use of the most conveniently available people
Most widely used approach by quantitative researchers
Most vulnerable to sampling biases
Convenience Sampling
Referrals from other people already in a sample
Used to identify people with distinctive characteristics
Used by both quantitative and qualitative researchers; more common in qualitative.
Snowball Sampling
Convenience sampling within specified strata of the population.
Enhances representativeness of sample.
Infrequently used, despite being a fairly easy method of enhancing representativeness.
Quota Sampling