SURVEY RESEARCH
KEY TERMS
closed-ended question
cognitive interviewing
collaborative encounter model
computer-assisted personal
interviewing (CAPI)
computer-assisted self-
administered interviewing
(CASAI)
computer-assisted telephone
interviewing (CATI)
context effect
contingency question
conversational interview
double-barreled question
floaters
full-filter question
funnel sequence
interactive voice response (IVR)
leverage salience theory
matrix question
naïve assumption model
open-ended question
order effects
partially open question
prestige bias
probe
pseudosurvey
quasi-filter question
randomized response technique
(RRT)
recency effect
satisficing
sleeper question
social desirability bias
standard-format question
tailoring
telescope
time budget survey
wording effects
REVIEW QUESTIONS
1.What are the six types of information that surveys often ask about? Give an
example of each that is different from the examples in the book.
2.Why are surveys called correlational,and how do these differ from experiments?
3.Identify five of the ten things to avoid in question writing.
4.What topics are commonly threatening to respondents, and how can a researcher
ask about them?
5.What are advantages and disadvantages of open-ended versus closed-ended
questions?
6.What are filtered, quasi-filtered, and standard-format questions? How do they
relate to floaters?
7.What are differences between and relative merits of a standard versus a
conversational interview?
8.What is cognitive interviewing, and how does it improve survey research?
chapter presented the advantages and disadvantages
of various types of survey research and noted that
interviewing, especially face-to-face interviewing,
can be difficult.
Although this chapter focused on survey
research, we use questionnaires to measure vari-
ables in other types of quantitative research (e.g.,
experiments). The survey, often called the sample
surveybecause random sampling is usually used
with it, is a distinct technique. It is a process of
asking many people the same questions and exam-
ining their answers.
Survey researchers try to minimize errors, but
survey data often contain them. Errors in surveys
can compound each other. For example, errors
can arise in sampling frames, from nonresponse,
from question wording or order, and from inter-
viewer bias. Do not let the potential for errors dis-
courage you from using the survey, however.
Instead, learn to be very careful when designing
survey research and cautious about generalizing
from its results.