This is the slide deck for the October research webinar on the Landscape of Trust. It covers some of the analysis of the first 200 narrative accounts, as well as half a dozen of the new visualisations and models.
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The Landscape of Trust Research Webinar #3 October 2017 v1
1.
2. This is a
#WorkingOutLoud
session
1. Share the evolving research
2. Share early visualisation approaches and frameworks
3. Update on the prototype diagnostic
4. The Trust Conference
3. Landscape of Trust
General Demographics
So far: 194 complete responses (More partial responses, but less useful for analysis)
Other demographics collected are: Field of work, Work Status, Position Level, Nation, Size of
company. Population is heavily female, and older than 35.
0%
10%
20%
30%
40%
18-24 25-34 35-49 50-69 70+
22%
35%
9.89%
1% 0%
8%
15%
3.6%
0%
Male Female
4. Governmental survey: 70k
population
Four questions that relate to ‘trust at work’
In order, they address:
1. The hierarchical nature of trust
2. Belonging (another theme that's starting to trend)
3. Trust at the peer level
4. Satisfaction. (There's another question in the survey already
that addresses self efficacy, which is important in a work
environment.)
NEW
5. Trends
As the data set grows, it shows statistically significant differences in the
responses provided by a combination of particular age and gender sets:
• “Those devoted to unselfish causes are often exploited by others.” 1 is
Strongly Disagree, and 5 is Strongly Agree.
• 24-35: Women: 2.42 Men: 3.86
(This disparity continues to increase with more participants.)
• “There will be more people who will not work if the social security system
is developed further.” 1 is Strongly Disagree, and 5 is Strongly Agree.
• 24-35: Women: 2.31 Men: 3.42
• Use of Trust or Mistrust in narratives.
• Currently no statistically significant difference in gendered use of Trust or
Mistrust, as numbers increase. Pervious iterations saw gender based
differences.
6. The emotional tone of
narratives
• Joy: heart, believer, successful
• Sadness: alone, left, abandoned
• Anger: betrayed, broke, closed
• Fear: struggle, scared, unknown
• Disgust: unacceptable, failure, loathe
• The language of disgust and fear are used very little though (but we are only
20% through initial sample)
• There is so much of the language of joy used, even in negative situations
NEW