Data & Science
The Pillars follows scientific rigour. By utilising valid scientific measurement scales, we are able to gain unique insights.
MEaSUREMENT SCALES
Capturing Data
The Pillars rely on a range of scientifically validated measurement scales, taken at various times over the course of the program. During the initial Pillar Discovery, we assess participants’ baseline measures to measure the impact of the intervention the program presents.
Capacity Score
The Capacity score is an adaptation of the CD-RISC resilience measurement scale developed by Kathryn M. Connor and Jonathan R.T. Davidson of Duke University. The measurement is widely used in a variety of applications relating to resilience.
Burnout Propensity
The Burnout Propensity scale is an adaptation of the Copenhagen Burnout Inventory, a valid and widely used measurement scale to assess burnout, with a specific focus on burnout in workers across a range of professions.
Pillar Ratings
The Pillars Rating is a composite score, constructed from an inventory of 50 self-assessed questions (five per building block), half of which assess the subjective importance of a life area (building block), and the other half assesses the satisfaction regarding the same.
The rating for each Pillar is calculated as a value-weighted average, resulting in values ranging from 1-10. The composite Pillars Rating is calculated as the value-weighted sum of individual Pillars Ratings.
Me
Family
Community
Work
Wealth
GAINING CLARITY
Data Insight
Analysing various measures yield fascinating results. The Pillars Rating have strong association with both, capacity and burnout propensity. In fact, The Pillars model is better able to explain variations in burnout propensity, than capacity is. The same is true for changes of these scores over the course of our programs^.
^The Pillars dataset is constantly growing. Results published on this site are updated periodically.
The Pillars Rating and Capacity Score
The correlation between Capacity and the composite Pillars Rating is 0.73, a strong association in the expected direction, significant at the 99% confidence level.
Variations in Pillars Scores explain 62.9% of variations in Capacity scores (R-Sq: 0.84; Adj R-Sq: 0.63).
73.2%
PEARSON CORRELATION
0.63
ADJ R-SQUARED
The Pillars Rating and Burnout Propensity
The correlation between Burnout Propensity and the Composite Pillars Rating is -0.8827, a strong negative association, statistically significant at the 99% confidence level.
Variations in Pillars Scores explain 89.78% of variations in Burnout Propensity scores (R-Sq: 0.95; Adj R-Sq: 0.90).
73.2%
PEARSON CORRELATION
0.89
ADj R-SQUARED
Drivers in Capacity and Burnout
Across respondents, the strongest driver of Capacity is the ‘Me’ Pillar. This is in line with our frequently used oxygen mask analogy, i.e. ‘you need to help yourself before you can help others’. Indeed, respondents that score higher in the ‘Me’ Pillar, also tend to report higher levels of satisfaction in other areas, including relationships and job performance.
The strongest driver of Burnout Propensity is the ‘Work’ Pillar, which may come at no surprise. Self-reported satisfaction of oneself in the workplace (perceived contribution, reliability, quality of relationships and the ability to develop, play major roles). A second major contributor is the ‘Wealth’ Pillar, which could be a source of stress, contributing to the burnout propensity.
How We Handle Data
We are committed to protecting the privacy of our participants and ensure the confidentiality of their data. Any identifiable information collected will be used solely for the purposes of reporting back to the participant. We do not share identifiable information with anyone else, including employers. Aggregate information that does not contain individual information (such as averages or the result of data analysis) may be reported to employers or other stakeholders, including our website and other publications. However, these never contain personal or otherwise identifiable information of any participant.
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