Chapter 6
Answers to
Study Questions
6.1. What is a method of data
collection?
It’s a technique for
physically obtaining the data to be analyzed in an empirical research study.
6.2. What are the six main
methods of data collection? (Hint: the first letters make the rather awkward
acronym, SQIFOS)
·
Tests
·
Questionnaires
·
Interviews
·
Focus
groups
·
Observation
·
Secondary
or existing data.
6.3. What principles should
you follow when constructing a questionnaire?
Here is Table 6.2 which
lists the 15 principles of questionnaire construction.
4. What is an example of a
leading or loaded question?
Leading question: Don’t you
think that Congress people earn too much money?
Loaded: Do you support the
liberal policy of increasing spending on education?
5. What is an item stem?
It is the set of words
forming a question or statement. It excludes the response categories if any are
provided.
6. If you are conducting
an exploratory research study, are you more likely to use closed-ended
questions or open-ended questions?
Open-ended. This allows
participants to say anything they want, in their own words, in response to your
question.
7. How many points should
a rating scale have?
Research suggests that
anywhere from 4 to 11 points works well. Four and five point rating scales are
very popular.
8. When should you use a
contingency question?
When you only want specific
kinds of people answering the follow-up questions(s). You use a contingency
question (also called a filter question) to guide different kinds of people
through different routes through your questionnaire as needed.
9. Explain how to pilot
test a questionnaire or an interview protocol.
You may use the think-aloud
technique with some people. Also, make sure that you pilot test it with
similar people to your target population under similar circumstances.
6.10. What is the difference
between a quantitative and a qualitative interview?
Quantitative interviews are
more structured and standardized. Qualitative interviews are more open-ended
and free flowing.
6.11. Why would a researcher
want to conduct a focus group?
Here are seven reasons:
1.
To
obtain general background information about a topic of interest.
2.
To
generate research hypotheses that can be submitted to further research and
testing using more quantitative approaches.
3.
to
stimulate new ideas and creative concepts.
4.
To
diagnose the potential for problems with a new program, service, or product.
5.
To
generate impressions of products, programs, services, institutions, or other
objects of interest.
6.
To
learn how respondents talk about the phenomenon of interest (which may, in
turn, facilitate the design of questionnaires, survey instruments, or other
research tools that might be employed in more quantitative research).
7.
To
interpret previously obtained quantitative results.
12. What are the main
differences between quantitative and qualitative observations?
Quantitative observations are more structured,
standardized, and based on already developed scoring or categorization systems;
qualitative observations are more open-ended and based on the inductive
approach.
13. What are the four main
roles that a researcher can take during qualitative observation?
Here
they are:
1. Complete
participant (the researcher becomes a member of the group being studied and
does not tell the members that they are being studied).
2.
Participant-as-observer (the researcher spends extended time with the group
as an insider and tells the members they are being studied).
3.
Observer-as-participant (the researcher spends a limited amount of time
observing group members and tells members that they are being studied).
4.
Complete observer (the researcher
observes as an outsider and does not tell the people they are being observed).
14. What is the difference
between frontstage and backstage behavior?
Frontstage behavior is what people
allow or want us to see; backstage behavior is what people say and do
only with their closest friends or when “acting” is at a minimum.
15. What are some examples
of secondary or existing data?
Note that we use secondary
data and existing sources essentially as synonyms; here is the definition of
secondary data: existing data originally collected or left behind at an earlier
time by a different person for a different purpose.
Here are the primary types
discussed in your chapter (see chapter for definitions):
·
Personal documents (e.g., letters, diaries, family videos)
·
Official documents (newspapers, journals and magazines, annual reports, student work,
personnel files),
·
Physical data (worn tiles on the floor, wear on books, soil from shoes and clothing,
contents of peoples’ trash)
·
Archived data (census tapes, ICPSR data files).