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5 Written questions

5 Matching questions

  1. sampling error
  2. sampling bias
  3. statistical syllogism
  4. convenience sampling
  5. purposive sampling
  1. a calculate the degree that the sample might differ from the population. larger sampling error, less likely sample possesses characteristics similar to the population
  2. b nonprobability, prelime stages, conduct where large # of ppl congregate. not random, only can conclude if population is homogenous- like tast tetss
  3. c the characteristics of the random sample are different from the characteristics of the entire population, when the sample size is too small, and when the sample is not homogeneous. validity decreases. non response is a problem
  4. d identified specific characteristics of a population that match quite well with purpose of the research. why someone purchase a product. oly qualified respondents
  5. e going from a generalization to a conclusion. ex: 90% of old people are retired, see an old person, assume they are retired

5 Multiple choice questions

  1. simple how one goes about conducting the research at hand. manner of the research procedure. ex: experimental research, qualitative, historical, etc. usually logical, orderly systematic way. TOOL of scientific investigation
  2. 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.
  3. longer, open ended, scheduled appointments, challenging for interviewer but flexible, can observe, locate appropriate respondent, quality data, . just as effective as phone.
  4. convenience sampling
    quota samples
    purposive samples
    volunteer samples
    snowball samples
  5. did the research project find out what it said it was going to? ex. if participants lie

5 True/False questions

  1. inductive analogiessimilarities between two things to a conclusion about some additional attribution of both things.

          

  2. nonprobability (non scientific) samplesrandomly 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.

          

  3. reliabilitywhen 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

          

  4. intercept surveysstructured, solicit info from randomly selected participants in a public place. lots of data, low cost, short period of time. volunteer sample so not generalizable and not really random. key locations- mall, airports. can get participants who fit a category. short and to the point questions

          

  5. order biasfuture conclusion from some sample in the past