Zusammenfassung der Ressource
Questionnaries
- What is?
- A questionnaire is a research tool that consists
of a series of questions and other indications
with the purpose of obtaining information
from those consulted.
- Types
- Mail survey
- Most common type of questionnaire, it can
be an efficient way to collect large amounts
of data, however, being impersonal, it can
have a low response rate
- Group-administered
questionnaire
- is a useful instrument for collecting
data from a sample of respondents
who can naturally be brought
together for the purpose
- Household
drop-off survey
- the researcher delivers the questionnaire
by hand to a member of an identified
household for collection at some later
date
- Uses
- - Presenting questions in a clear and
unambiguous
- - Enables the transmission of useful and accurate
information or data from the respondent to the
researcher.
- - Can be designed and used to collect vast quantities
of data from a variety of respondents. - Presenting
questions in a clear and unambiguous
- - If coded in an appropriate way, they can enable
analysis to be conducted extremely quickly and with
low error rates.
- Design Isssues
- Maximing response rates: To maximise response rates consider the
use of a covering letter for your questionnaire. This should be short
and should explain the research in a clear and understandable way.
- Ideal questionnaire length and time to complete: As a
general rule of thumb, a questionnaire should take no
more than about twenty minutes to complete.
- Stratified sampling: Stratified sampling means
establishing your population (such as students)
and taking from within that population a
sample that represents the whole.
- Piloting – using a suitable sample group:
When designing a questionnaire it is easy
to overlook mistakes and ambiguities in
question layout and construction.
- Web-based questionnaires: Many questionnaires are now
designed to be completed online, via the internet.
Web-based questionnaires produce a higher response rate
than their paper-based counterparts
- Limitations
- Leading
questions:
- Leading questions are those which provide for only one right
answer to the question posed. Their wording can suggest that
it would be wrong to answer in some particular way.
- Complicated
questions:
- A complicated question like this consists of a number of
sub-questions that can be broken down into a number of
smaller, more easily understood, questions.
- Irritating
questions:
- If you consider a question to be potentially irritating then
perhaps provide some contextual information in the
questionnaire as to why this particular question is necessary.
- Ambiguous or
unclear questions:
- Try to be as clear as possible in wording your question.
Those completing your questionnaire are unlikely to be
as familiar with your core research topic.
- Too many
open-ended
questions:
- Too many open-ended questions force those completing
your questionnaire to put more effort into their answers.
- Data analysis
- The purpose of the questionnaire is for respondents
to record responses by checking boxes, completing
statements, or providing written answers.
- Developing appropriate codes and coding makes data
analysis easy and must be used on any instrument.
- The system of numbers used for each question
and answer makes it easier to analyze data for
each researcher.
- The process becomes much faster if you enter
questionnaire data into a predefined database.
- It is useful to get an average score on scale or
Likert-type questions to compare between questions.
- Higher-value numbers are used for positive responses and
lower-value numbers are used for negative responses.