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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
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
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
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.
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
Anger
Disgust
Fear
Joy
Sadness
0% 17.5% 35% 52.5% 70%
53%
60%
11%
10%
15%
56%
61%
12%
9%
60%
Women Men
Landscape of Trust
Emotional tone of the Narratives NEW
STAY IN TOUCH
@julianstodd
julian@seasaltlearning.com
www.julianstodd.wordpress.com
www.SeaSaltLearning.com

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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
  • 7. Anger Disgust Fear Joy Sadness 0% 17.5% 35% 52.5% 70% 53% 60% 11% 10% 15% 56% 61% 12% 9% 60% Women Men Landscape of Trust Emotional tone of the Narratives NEW
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.