← r&e final PART 2 Test
5 Written Questions
5 Matching Questions
- longitudinal survey
- probability (scientific) sampling
- a future conclusion from some sample in the past
- b randomly selected samples of units from a population. each member of the target pop has a known chance of being selected. clearly defined selection procedures and sampling error can be determined.
- c from premise based on a sample group and leads to a conclusion about the entire population
- d survey method that includes all of the members of a population. no sampling procedures and no generalizability issues
- e compare the relationships among a set of important variables at intervals. doesnt have to be same people.
5 Multiple Choice Questions
- database and html, can skip to certain questions based on answer and wont let respondent skip. can provide animation. more complicated to design than email. fast, low cost, flexible. population sample limitation
- email, web based, on cite stations. samples do not typically represent target population- usually from email list. internet most frequent in urban and higher income and education. inexpensive and quick to collect info. self administered, must be simple
- something known to be true (major premise), through a supporting idea or rule (minor premise) to the conclusion. ex: all ad is paid more, see an ad, assume its paid for.
- like stratified sampling, not random. most common form of nonprobability. must complete a quota for each strata- like 40 blacks, etc.
- drawing a conclusion about a cause and effect relationship based on observation of some occurrence and the conditions that existed at the time (the cause)
5 True/False Questions
reliability → when a study is repeated, and arrives at the same results. extent of which results will be consistent or replicable if the research is conducted a # of times
statistical syllogism → going from a generalization to a conclusion. ex: 90% of old people are retired, see an old person, assume they are retired
sample frame → list of the people you select for your sample
projectability → if a result can be PROJECTED to a larger external population. ex: college student findings cannot be projected onto the entire pop
nonprobability (non scientific) samples → randomly selected samples of units from a population. each member of the target pop has a known chance of being selected. clearly defined selection procedures and sampling error can be determined.