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Questionnaire Design

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Determine what findings' you need in order to answer the research question. ... operations (add, subtract, division, multiplication) can be performed on interval data. ... – PowerPoint PPT presentation

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Title: Questionnaire Design


1
Questionnaire Design
2
Six Steps of Questionnaire Design
  • Decide what information should be sought
  • Decide what type of questionnaire should be used
  • Write a first draft
  • Re-examine and revise
  • Pretest the questionnaire
  • Edit the questionnaire and specify procedures for
    its use.

3
Step 1
  • Articulate the problem that is under study e.g.
    It has been suggested that GPs dont spend enough
    time on preventive care activities.
  • Determine what findings you need in order to
    answer the research question.
  • Ascertain whether single questions or multiple
    questions are required for each finding.

4
Step 2
  • Determine type of questionnaire will be used.
  • e.g. mail-out, interviewer administered, phone
    survey, individual interviews.
  • Identify whether relevant instruments already
    exist.

5
Step 3
  • Draft questionnaire.
  • Consider wording, ordering and formatting of
    questionnaire.

6
Step 4
  • Re-examine and re-write questionnaire.
  • Have questionnaire reviewed by experts.
  • If dealing with a controversial topic, have
    questionnaire reviewed by both sides of the
    issue.
  • If no consensus can use split ballot technique
    (different wording for same questions 2
    versions of questionnaire).

7
Step 5
  • Pre-test the questionnaire.
  • Administer questionnaire to small sample under
    survey conditions.
  • Ensure pre-test respondents resemble actual
    survey respondents.
  • Interview respondents about reactions to items
    and questionnaire as a whole (identify ambiguous
    or offensive items).
  • A second pre-test may be necessary if major
    changes required.

8
Step 6
  • Edit questionnaire.
  • Specify administration procedures.

9
Preparing Questionnaire Items
  • Closed questions
  • Provide specific response alternatives.
  • Open-ended questions
  • Merely specify the area to be addressed in a
    response.

10
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11
Closed Questions
  • Advantages
  • Provide respondents with a standard frame of
    reference.
  • No coding problems.
  • Reduces chance of interviewer bias.
  • Reduces data entry time.
  • Disadvantages
  • More difficult to write.
  • May lead to fence sitting when middle alternative
    is offered.
  • Limited response categories.
  • Possible bias due to limited response options.

12
Open-ended Questions
  • Advantages
  • Quick easy to write.
  • Wide range of responses.
  • Able to elicit all possible answers.
  • Useful when many pre-codes are required.
  • Rich information.
  • Quotable quotes.
  • Disadvantages
  • Intensive coding needed.
  • Post coding can introduce bias.
  • May restrict range of responses if question does
    not adequately cue respondents.
  • Costly time consuming.
  • Limits statistical inference
  • More difficult to analyse.

13
Good Questionnaire Items
  • Simple, direct and familiar language.
  • Clear and specific.
  • Short as possible (max. 20 words).
  • No leading, loaded or double barrel questions.
  • Only one question per statement.
  • Avoid universals e.g. only, just, merely.
  • Include all conditional information prior to key
    idea.
  • Edit for readability.

14
Task
  • Each group to come up with three closed questions
    and two open-ended questions for their topic.
  • Do not use basic demographic questions
  • Apply principles of good question construction.

15
Measurement Scalesfor categorical items
16
Nominal Scale
  • Categorise responses into a number of distinct
    categories.
  • There is no implication of grading responses.
  • Example
  • What is your sex? Male 1 Female 2

17
Ordinal Scale
  • Ordinal scales attempt to order or rank
    responses.
  • Add the relationship of greater than or less
    than to the measurement process.
  • Can know the rank order but not how far apart
    respondents are.
  • e.g. What is the highest level of education you
    have completed?
  • Primary school 1
  • Some high school 2
  • High school graduate 3
  • University graduate 4

18
Interval Scale
  • Can specify how far apart two stimuli are on a
    give dimension.
  • Differences of the same numerical size in scale
    value are equal.
  • Does not have a meaningful zero point.
  • Standard mathematical operations (add, subtract,
    division, multiplication) can be performed on
    interval data.

19
Interval scale Example
  • Difference between 50 and 70 correct answers on
    an aptitude test is equal to difference between
    70 and 90 correct answers. Thus the ratio of
    scale intervals is meaningful.
  • However, there is no meaningful zero point.
  • For example, a score of zero on a verbal aptitude
    test would not necessarily mean that the person
    had absolutely no verbal ability.

20
Ratio Scale
  • A ratio scale has the same properties as an
    interval scale with the addition of an absolute
    zero point.
  • Makes the ratio of scale values meaningful.
  • e.g.Physical scales measuring time, weight and
    distance can be treated as ratio scales.

21
Measurement Scales for Non-Categorical Items
22
Likert Scales
  • Commonly used in attitudinal research
  • Example
  • For each of the following statements please
    circle one of the numbers below according to your
    level of agreement with the statement.
  • The GP should be the first point of contact for
    patients seeking to loose weight?
  • Strongly agree Agree Strongly
    disagree
  • 1 2 3 4 5

23
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