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Scale perception bias in Likert scale questions: Improved validity through anchoring vignettes?

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Scale perception bias in Likert scale questions: Improved validity through anchoring vignettes? Klaus Gebel Centre for Chronic Disease Prevention – PowerPoint PPT presentation

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Title: Scale perception bias in Likert scale questions: Improved validity through anchoring vignettes?


1
  • Scale perception bias in Likert scale questions
    Improved validity through anchoring vignettes?
  • Klaus Gebel
  • Centre for Chronic Disease Prevention
  • James Cook University

2
German tourists in Spain
3
Political efficacy in China and Mexico
4
Health inequalities between Indigenous and
non-Indigenous Australians
5
Anchoring vignettesExample Self-rated health
SF-36 In general, would you say your health
is
Excellent
Very good
Good
Fair
Poor
  • Most common measure of health
  • Often negative association with actual health

6
Anchoring vignettes
  • Differential Item Functioning (DIF)

High
High
Low
Low
7
Recoding depending on self-rating and rating of
vignettes
Self vignettes Recoding
xgtV1gtV2gtV3 7
xV1gtV2gtV3 6
V1gtxgtV2gtV3 5
V1gtxV2gtV3 4
V1gtV2gtxgtV3 3
V1gtV2gtxV3 2
V1gtV2gtV3gtx 1
xgtV1gtV2V3 7
xgtV1V2V3 7
8
Next steps
  • Conversion from 7-point scale back to 5-point
    scale
  • Paired t-test to compare DIF-adjusted vs
    unadjusted scores
  • Walds test to compare associations of
    DIF-adjusted vs unadjusted scores with continuous
    or binary outcome measures

9
Design of vignettes
  • Ideally equally spaced through distribution of
    self-assessments
  • Avoid extremes
  • Gender specific
  • Ideally 2-3 vignettes
  • Design vignettes in focus group
  • Test them with sub sample

10
Example Safety from traffic and cycling / walking
  • Safety and accessibility are the two most
    important environmental factors affecting
    activity participation across the lifespan.
  • DiPietro 2012, Human Kinetics


11
Background
12
Background
13
Results
  • Predictive validity of perceived safety from
    traffic

Very unsafe A little unsafe Neither safe nor unsafe A little safe Very safe
How safe do you think it is to ride a bicycle in your local area? 1 2 3 4 5
14
Methods
  • Baseline data collected 2013
  • Cycling and walking measured with travel diary
  • Outcome measures
  • Cycle to work/study y/n (Probit)
  • Frequency of cycling (ordered Probit)
  • Mins/week of cycling and walking (Poisson)

15
Results
  • n871
  • 58 women
  • 18-55 (3711.1 years)
  • 14 use bicycle as main way travel mode to
    work/study
  • 29 cycle at least 1-2 days/week

16
Results
  • Perceived safety from traffic

17
Results
  • Ratings of vignettes

18
Results
  • DIF adjusted perceived safety from traffic

19
Results
  • Predictive validity of perceived safety from
    traffic

Unadjusted Adjusted for DIF Walds test p-value
Cycle to work/study y/n 0.63 0.79 0.03
Frequency of cycling 0.71 0.78 0.06
Mins/week of cycling 0.53 0.78 gt0.01
Mins/week of walking 0.48 0.62 0.01
20
Conclusion
  • Significant scale perception bias
  • Anchoring vignettes ? ? predictive validity
  • Anchoring vignettes might be a powerful tool to
    improve validity of Likert-scale items

21
  • Opportunistic evaluation of new bicycle paths in
    Cairns

22
Bike path evaluation in Cairns
23
Thank you for your attention! Questions? klaus.geb
el_at_jcu.edu.au
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