Chapter 7 Flashcards
Population
is the cluster of people, events, things, or other phenomena that you are most interested in
Sample
is the process of selecting observations that will be analyzed for research purposes.
Non probability sample
sampling refers to sampling techniques for which a person’s
(or event’s or researcher’s focus’s) likelihood of being selected for membership in the sample is unknown.
Purposive sample
a researcher begins with specific perspectives in mind that he or she wishes to examine
and then seeks out research participants who cover that full range of perspectives.
Snowball samples
researcher might know of one or two people she’d like to include in her study but then
relies on those initial participants to help identify additional study participants.
Quota sampling
a researcher identifies categories that are important
to the study and for which there is likely to be some variation.
Convenience sample
a researcher simply collects data from those people or other
relevant elements to which he or she has most convenient access.
Probability sampling
refers to sampling techniques for which a person’s (or event’s)
likelihood of being selected for membership in the sample is known.
Representative sample
is one that resembles the population from which it was
drawn in all the ways that are important for the research being conducted.
Generalizability
refers to the idea that a study’s results will tell us something about
a group larger than the sample from which the findings were generated
Simple random sample
researcher starts with a list of every single member, or element, of his or her population of interest.
Stratified sampling technique
a researcher will divide the study population into relevant subgroups and then draw a sample from each subgroup.
Cluster sample
Researcher randomly selects clusters then randomly selects elements from selected clusters.
Systematic sample
Researcher selects every kth element from sampling frame.
Sample
The cluster of ppl or events from which you will gather data