Psychosocial hazards are receiving increasing attention as workplaces look beyond individual wellbeing programs towards the conditions that shape how people actually experience work.
But measuring those conditions raises an important question: which workplace factors are most closely associated with whether people are satisfied, engaged and able to function well at work – and how does personal resilience fit into the picture?
Our new paper examined 5,107 workplace assessments to investigate these questions using the Job Satisfaction, Engagement, Co-worker Connection Quality and Work Context Psychosocial Survey (JSECC), together with the Predictive 6 Factor Resilience Scale (PR6). Within these, we explore psychosocial hazards, allowing analysis of all 17 hazard-management areas.
How to cite this article: Rossouw, J. G., McKenzie, S. (2026). Applied Measurement Properties and Score Interpretation of the JSECC Psychosocial Survey: Psychosocial Hazards, Resilience and Workplace Outcomes. ResearchGate. https://doi.org/10.13140/RG.2.2.30629.46565
The results give us a detailed picture of the relationship between psychosocial conditions, personal resilience and workplace experience – and highlight why effective psychosocial risk management needs to consider both the workplace environment and the resources people bring to it.
What does the JSECC measure?
The JSECC was developed to provide a multidimensional view of workplace experience.
Its core assessment measures four broad areas:
- Job Satisfaction – including job enjoyment, leadership, management, development opportunities, recognition and commitment
- Engagement – including motivation, interest, productivity, involvement and accomplishment
- Co-worker Connection Quality – including association, harmony, communication and trust
- Work Context – including areas such as safety, ergonomics, policies, administrative demands and the mental, social and relationship impacts of work
The full JSECC Psychosocial Survey also calculates 17 psychosocial hazard-management scores, organised through the four PURE domains of Protect, Unite, Respect and Empower. Higher scores indicate more favourable or more effectively managed conditions – not greater exposure to a hazard.
The survey uses three practice-informed monitoring ranges: below 40% is classified as high risk, 40% to 60% as moderate risk, and above 60% as managed. Importantly, these are designed to support workplace consultation and investigation.
JSECC Internal Consistency
One aim of the research was to examine the measurement properties of the JSECC itself.
The results indicated good internal consistency. Job Satisfaction, Engagement and Co-worker Connection Quality all demonstrated good internal consistency. Cronbach’s alpha was .850 for Job Satisfaction, .802 for Engagement and .811 for Co-worker Connection Quality, while model-based omega ranged from .862 to .891. Across all 29 core JSECC items, alpha was .914.
The analysis also tested whether Job Satisfaction, Engagement and Co-worker Connection Quality were better understood as separate dimensions or as one general workplace factor. A three-factor model performed better than a single-factor model, supporting the value of reporting these areas separately.
Work Context is different by design. It brings together heterogeneous aspects of the working environment and is intended to operate as a workplace profile rather than as a single psychological trait.
Workplace conditions were strongly associated with satisfaction and engagement
One of the clearest findings emerged when the 17 psychosocial hazard-management areas were compared with Job Satisfaction and Engagement.
Every one of the 17 hazard-management scores was positively associated with both outcomes. These relationships remained statistically significant after adjusting separately for overall PR6 resilience, industry and country.
Figure 1 shows some of the strongest relationships.
Poor Support stood out as the strongest adjusted correlate of both Job Satisfaction and Engagement. Its adjusted standardised association was β = .752 with Job Satisfaction and β = .562 with Engagement.
For Job Satisfaction, other prominent factors included:
- Organisational Change Management
- Organisational Justice
- Reward and Recognition
- Job Security
- Role Clarity
For Engagement, Job Security, Organisational Change Management, Organisational Justice, Job Demands and Reward and Recognition were also among the stronger adjusted associations.
JSECC results explorer
Fig 1. What is most strongly associated with workplace outcomes?
Compare the overall relationship (r) with the adjusted association (β) for all 17 psychosocial hazard-management scores and PR6 resilience. Select an outcome to see its ranking from strongest to weakest adjusted association.
How to read this chart
Each line connects the adjusted standardised coefficient (β) with the zero-order Pearson correlation (r) for the same outcome. Filled markers show β; outlined markers show r. Whiskers show the 95% confidence interval around β.
Hazard estimates are adjusted for overall PR6 resilience, industry and country. PR6 estimates are adjusted for the four PURE workplace domains, industry and country. The connectors compare two statistical estimates - they do not represent change over time or a causal pathway.
All PR6 factors have positive overall correlations with both outcomes. The very small negative adjusted Job Satisfaction estimates for Collaboration and Composure reflect statistical overlap with workplace conditions and should not be interpreted as evidence that either factor is harmful.
N = 2,781 complete assessments. Results are cross-sectional and show associations rather than causal effects. Ranking is based on adjusted β, not an estimate of causal impact.
Figure 1 also brings personal resilience into the picture. Every PR6 factor had a positive correlation with both Job Satisfaction and Engagement, with Vision showing the strongest correlations of the PR6 domains.
This creates an important distinction.
Workplace conditions clearly matter, but personal resources matter too. The two should not be treated as competing explanations.
When all 17 workplace hazards were considered together, they added substantial explanatory information beyond resilience, industry and country. The increase in explained variance was 66.4 percentage points for Job Satisfaction and 43.1 percentage points for Engagement.
These are very large statistical relationships. The study was cross-sectional, and workplace hazard and outcome scores were reported by the same people at the same time. Several hazard areas are also strongly related to one another.
The overall pattern points strongly towards an organisational interpretation of workplace experience: support, fairness, recognition, change management, security, clarity and sustainable job demands are closely connected with how employees feel about and engage with their work.
The most common psychosocial risks are not necessarily the strongest predictors of outcomes
Another important result is that there is more than one way to define an important psychosocial hazard.
A hazard may affect many employees. Another may affect fewer people but have a much stronger relationship with satisfaction or engagement. Looking only at the average score can hide both patterns.
Figure 2 illustrates this by showing how respondents were distributed across the high-risk, moderate-risk and managed ranges for the four PURE domains and all 17 individual hazards.
JSECC results explorer
Fig 2. Where are psychosocial risks most concentrated?
Explore how participants were distributed across the high-risk, moderate-risk and managed ranges for the four PURE workplace domains and all 17 psychosocial hazards. Hover, focus or tap a hazard to see its distribution and what it covers.
A. PURE domain distributions
Percentage of respondents in each risk range. Select a domain to filter the hazard landscape.
B. Hazard-level prevalence
Further right indicates more participants in the high-risk range; lower indicates fewer participants in the managed range. Bubble area represents moderate-risk prevalence.
Selected hazard
Explore individual hazards
Hover or select a hazard below to update the details above.
How to read this chart
The PURE bars show the percentage of respondents classified in each risk range for the four broad workplace domains. The bubble chart provides the same type of distribution at the individual-hazard level. A marker further to the right has a larger high-risk percentage; a marker lower on the chart has a smaller managed percentage. Larger bubbles indicate more respondents in the moderate-risk range.
Higher JSECC hazard-management scores indicate more favourable or more effectively managed workplace conditions. High risk represents scores below 40%, moderate risk represents scores from 40% to 60% inclusive, and managed risk represents scores above 60%.
These are practice-informed monitoring ranges. They are not clinical diagnoses, regulatory determinations or evidence that a particular hazard caused an individual outcome.
N = 2,781 complete psychosocial hazard assessments. Percentages may not total exactly 100 because of rounding.
At the PURE domain level, Unite had the most favourable overall distribution, with 75.4% of respondents in the managed range and only 3.2% in the high-risk range.
Protect also had a majority in the managed range at 65.6%.
The more notable concerns appeared within Respect and Empower.
Respect had the largest domain-level high-risk proportion at 11.1%. Empower had the smallest managed proportion, at only 48.7%, while 44.4% were in the moderate-risk range and another 7.0% were in the high-risk range.
That makes Empower particularly interesting from a preventative perspective. It covers issues such as role clarity, organisational change, job demands, fatigue and job control – areas that may not always appear as acute incidents but can create persistent pressure when poorly managed.
Traumatic exposure and fatigue were the most prevalent high-risk concerns
Figure 3 makes the individual hazard results easier to see by ranking all 17 hazards according to the percentage of respondents falling into the high-risk range.
Figure 3. Individual psychosocial hazard risk-band distributions
JSECC results explorer
Fig 3. How are participants distributed across psychosocial hazards?
Compare high-risk, moderate-risk and managed-range prevalence across all 17 hazards. Filter by PURE domain, change the ranking or expand the high-risk segments to examine smaller differences more closely.
Individual hazard risk-band distributions
Hover, focus or tap a row for its definition, exact participant counts and outcome associations.
Selected hazard
These associations provide context alongside prevalence. They do not establish that a hazard caused either outcome.
How to read this chart
The full-distribution view shows the percentage classified as high risk, moderate risk and managed risk for each hazard. The high-risk-focus view rescales only the high-risk percentage from 0% to 40%, making differences among smaller red segments easier to see.
Higher hazard-management scores indicate more favourable or more effectively managed workplace conditions. High risk represents scores below 40%, moderate risk represents scores from 40% to 60% inclusive, and managed risk represents scores above 60%.
Domain filters identify where each hazard sits within the Protect, Unite, Respect and Empower framework. Rankings can also be changed to explore moderate-risk prevalence, combined high and moderate prevalence, managed prevalence or adjusted associations with the two workplace outcomes.
These are practice-informed monitoring ranges. They are not clinical diagnoses, regulatory determinations or evidence that a particular hazard caused an individual outcome.
N = 2,781 complete psychosocial hazard assessments. Percentages may not total exactly 100 because of rounding.
Two areas stand well above the others.
Traumatic Events and Materials had the highest high-risk prevalence at 39.4%. Fatigue followed at 30.6%.
The next highest were:
- Inadequate Reward and Recognition – 16.1%
- High or Low Job Demands – 14.9%
- Bullying – 14.9%
- Low Job Control – 13.0%
- Poor Organisational Justice – 12.5%
- Poor Organisational Change Management – 11.8%
The industry results give some context to the traumatic exposure finding. The average Traumatic Events and Materials score was particularly low in Healthcare at 39.9% and Emergency Services and Safety at 40.8%.
Bullying also showed an interesting distribution. While 14.9% fell into the high-risk range, 71.1% were in the managed range. This suggests a comparatively polarised experience – a workplace issue may be well managed for most employees while remaining very significant for a smaller group.
Perhaps the most useful comparison, however, is Poor Support.
Poor Support had the strongest statistical relationship with both Job Satisfaction and Engagement, yet it ranked 16th out of the 17 hazards for high-risk prevalence. Traumatic Events and Materials, by contrast, had by far the highest high-risk prevalence but one of the weaker relationships with these particular workplace outcomes.
This demonstrates why psychosocial risk cannot be reduced to a single ranking.
Prevalence asks how widespread a problem is. Association asks how strongly it relates to a particular outcome. Severity, context and legal obligations add further considerations.
A hazard does not become unimportant simply because relatively few people experience it, just as a widespread hazard is not necessarily the strongest explanation for engagement or job satisfaction.
Resilience shows a clear relationship with workplace experience
The other major part of the research examined personal resilience.
PR6 measures six resilience domains – Vision, Composure, Reasoning, Tenacity, Collaboration and Health – along with overall resilience and the forward-looking Momentum indicator.
Across the sample, resilience showed a consistent graded relationship with all four JSECC workplace outcomes.
"...people reporting stronger personal resilience also tended to report substantially more favourable experiences at work."
Figure 4 shows what happened as respondents moved from the Low PR6 resilience range through Below Average and Above Average to High resilience.
JSECC results explorer
Fig 4. How does workplace experience vary across resilience?
Explore Job Satisfaction, Engagement, Co-worker Connection Quality and Work Context across four PR6 resilience bands. Compare all outcomes or select one for a larger view with exact means and 95% confidence intervals.
Selected result
How to read this chart
In the mean-score view, points represent group means and whiskers show 95% confidence intervals. The comparison view overlays all four workplace outcomes; selecting a single outcome adds exact value labels.
The difference view expresses each mean relative to the Low resilience group for the same outcome, calculated as ([band mean - Low-band mean] / Low-band mean) × 100. These values are relative percentage differences, not percentage-point changes.
The continuous correlation (r) describes the relationship between PR6 resilience and each outcome across individual scores. Eta squared (η²) describes the proportion of outcome variance associated with the four resilience bands in the one-way analysis.
These are cross-sectional group differences. They do not show that increasing an individual’s resilience score will necessarily produce the same change in workplace experience, and the PR6 bands should not be interpreted as diagnostic categories.
N = 2,781 complete assessments. All omnibus comparisons and continuous correlations were statistically significant at p < .001.
From the Low to High resilience bands:
- Job Satisfaction increased from 56.4% to 82.5% (up 46.2%)
- Engagement increased from 55.7% to 88.2% (up 58.4%)
- Co-worker Connection Quality increased from 61.0% to 83.2% (up 36.4%)
- Work Context increased from 51.8% to 74.8% (up 44.5%)
The strongest relationship was with Engagement, where PR6 band membership accounted for a substantial proportion of the observed differences between groups. Continuous PR6 scores were also positively correlated with all four workplace outcomes, with the strongest correlation again seen for Engagement.
This shows that people reporting stronger personal resilience also tended to report substantially more favourable experiences at work.
Workplace conditions and personal resilience appear to play different roles
One of the most useful findings comes from looking at workplace conditions and resilience together.
In practical terms, Job Satisfaction appeared much more closely tied to the conditions of the workplace itself, while personal resilience retained a more substantial additional relationship with Engagement.
That distinction makes intuitive sense.
An employee can have strong personal coping resources and still be dissatisfied with poor leadership, unfair treatment, inadequate support, unclear roles or unsustainable working conditions. Resilience should not become a way of asking individuals to compensate indefinitely for organisational problems.
At the same time, personal resources such as purpose, tenacity, reasoning and emotional regulation may influence the energy, motivation and involvement a person can bring to their work.
This supports an integrated approach: improve the workplace conditions people operate within while also helping people strengthen the personal resources that support sustainable engagement and wellbeing.
What does this mean for organisations using psychosocial surveys?
The research opens several important principles for practical psychosocial risk assessment.
The first is to avoid relying on one overall number.
Broad scores can identify patterns, but specific hazards and score distributions can reveal issues that an average hides. A workplace might have a reasonable overall result while a meaningful minority of employees sits within a high-risk range for a particular hazard.
The second is to interpret prevalence and impact together.
The most common risk is not automatically the factor most strongly associated with engagement or satisfaction. Organisations need to consider how many people may be affected, how severe the potential consequences are, which groups are affected, how hazards interact and what other workplace evidence shows.
The third is to keep organisational conditions and individual resilience conceptually separate.
PR6 can provide valuable information about personal resources, particularly in relation to engagement. But a low resilience score should not be used to explain away poor support, excessive demands, unfairness, bullying, fatigue or other adverse workplace conditions.
Finally, survey data should form part of a wider process of workplace consultation and investigation. The research recommends considering JSECC results alongside information such as absence, turnover, incidents, organisational changes and independently assessed working conditions.
A large real-world dataset, with important limitations
This study has several strengths. It draws on more than 5,000 real-world assessments across multiple industries and uses several approaches to reliability, factor structure, score distributions and adjusted statistical relationships.
The sample was not randomly selected. 93.1% of assessments were Australian, and Education and Training represented 64.2% of the core sample. The psychosocial hazard analyses were based on the smaller 2,781-person extension sample.
Most importantly, the research was cross-sectional. It shows relationships at one point in time rather than demonstrating that one variable caused another.
Future research can build on these findings through independent samples, longitudinal studies, comparisons across industries and countries, and further validation of the monitoring thresholds.
The bigger picture
Perhaps the clearest message from the research is that psychosocially healthy work is neither entirely an organisational issue nor entirely an individual one.
The working environment matters to a large degree.
Support, fairness, recognition, change management, role clarity, job demands, control and other workplace conditions were all associated with how satisfied and engaged employees felt.
Personal resilience mattered too, particularly for engagement. People with higher PR6 scores consistently reported more favourable workplace experiences.
These findings make a strong case for keeping both sides of the equation visible.
Workplaces can identify and manage the psychosocial conditions that create risk, while simultaneously giving people practical resources to navigate pressure, remain engaged and sustain their wellbeing. One should complement the other rather than replace it.
On the evidence available so far, the JSECC is best used as a multidimensional workplace monitoring and consultation tool – bringing together broad workplace outcomes, specific psychosocial hazards, risk distributions and personal resilience to help organisations ask better questions about where action may be needed.
Explore the research
Read the complete methodology, statistical analyses and results in the full Driven Labs research paper.
