AND ANSWERS
Qualitative approach focus - ANSWER-Less on how representative sample is, more
on how informative it is. Ground-up theory.
Quantitative approach focus - ANSWER-how representative their sample is, using
mathematical theory and knowledge about probability.
Non probability sampling - ANSWER-Haphazard sampling, quota sampling,
purposive sampling, snowball sampling
Haphazard sampling - ANSWER-selecting cases one simply comes across -
produces a convenience sample. Ex: news reporter may stop and interview a
student walking on campus - does this mean what the student says represents the
entire student body believes?
Quota sampling - ANSWER-if you know diversity of a population on several
categories, determine number of cases for each category and haphazardly select
cases until you meet your quota. Ex: UMKC is 30% 1st year, 25% 2nd year, 25% 3rd
year, 20% 4th year. How many should she interview from each group to reach 20
students? (6 first, 5 second, 5 third, 4 fourth)
Purposive sampling - ANSWER-used to select cases that a researcher knows will be
informative. Useful for exploratory and field research, combines multiple methods of
contacting and selecting cases. Ex: if you wish to study street vendors you would not
have a list of these individuals so you have to ask local pedestrians or police where
you can find them, and ask vendor to get you in contact with other vendors
Snowball sampling - ANSWER-Network sampling, ask for references to other cases.
Ex: ask street vendors of other vendors, include elements of population that you
want to study
Theoretical sampling - ANSWER-Sampling changes and is guided by the motivation
to theoretically explain data one has observed (ground-up-theory). Ex: Education
psychologist - days with full attendance, students are more disruptive. Decided to
explore whether class disruption is related to perceptions of anonymity.
Probability Sampling - ANSWER-Simple random sampling, systematic sampling,
stratified sampling, cluster sampling, multi-stage sampling.
Simple random sampling - ANSWER-Assign every element in sampling frame a
unique number from 1-N and draw n random numbers (with or without replacement).
Produces a statistically efficient sample.
Systematic sampling - ANSWER-draw random number, then add by random
number, and stop when you get to desired sample size