Survey Research Flashcards
covert observation
Identify: in observational data, cover observations occur when the subjects you are studying do not know they’re being observed
Significance: unlike overt observations, covert observations do not have external validity problems. The subjects do not know they are being studied, thus they are not changing their behavior by the fact of being observed. Covert observations can be generalized to the population.
overt observation
identify: in observational data, subjects you’re observing know they are being studied.
significance: subjects may act a certain way by virtue of being studied, “reactivity” is occurring- changing their behavior by the fact of being observed.
direct observational data
entity being measured is being observed directly.
ex.) observing # of people littering by watching them
indirect observational data
entity being measured is inferring the trade of interest as it cannot be observed directly.
ex.) gathering/looking for alcohol in the trash and inferring how much alcohol is being consumed
recording unit
- A piece of text, or mention, being coded for its content in content analysis data.
- code up to four units, do not need to code all of the mentions due to cost.
participant
identify: researcher is participating/ active in the data being observed
significance: external validity problem being active in the study affects the behavior of the group being observed
reactivity
An observational data problem. Individuals/groups being studied are changing their behavior by the fact of being observed. An external validity problem in overt and participant observational data, cannot generalize the population.
non-differentiation/satisficing
Data Quality Issue
-Issue that arises when people are responding to a question in a battery, typically people give the exact same response that is not true to their actual feels; non-differentiation in their response. i.e. likert Q’s, always choosing agree
Satisficing: doing the bear minimum and rushing through the survey. Tends to lead to non-differentiation
FTF: less; Telephone: more; SAQ: ? (no interviewer)
social desirability
Data Quality Issue
-When one particular response is the socially acceptable/desired response
FTF: occurs more, maximum S.D. People feeling pressured to say what they assume is the status quo when in a face to face IW.
use of visuals
Data Quality Issue
FTF: yes, maximum understanding of what is being asked of people during an interview.
Significance: highly reliable and valid
missing data
- loosing people on a variable can cause the most bias as people that do not response are most likely not similar to people who do.
FTF: low missing data, hard for people not to response when face-to-face
Telehone: medium
SAQ: HIGH, almost 20-25% missing data.
Respondents vs. Informants
Those being interviewed in survey research…
respondents: giving information on themselves and their own experiences
VS
informants: responding on behalf of some other entity; can be thought of as experts on the entity being studied. Ex: interviewing a member of an organization to get information on that organization.
double-barreled
Identify: an ambiguous question wording in survey research that asks more than one question at a time. Ex: “UCB should raise faculty salaries and lower student tuition, agree or disagree”
Significance: Because people may agree with one statement but not the other, double-barreled questions cause confusing/difficulties for survey respondents (or informants) that yield unreliable and invalid measures. Double-barreled questions should be avoided when constructing survey questions.
elaboration probe
identify: a structured tactic used to prompt interviewees in elaborating on their answer. Signified by TM ‘tell me more’
significance: elaboration probes are used to counter vague responses.
sampling fraction
identify: the ratio of the sample size over the population size. n/n(pop)
significance: sampling fraction represents the proportion of population units that are selected in the sample.