Methodological Quality Analysis

Compliance with SVI’s Eight Guiding Principles

Overview

SVI’s eight guiding principles define what a high-quality SROI report looks like. This section documents compliance across all 376 reports with extractable PDF text, using a purpose-built quality scoring rubric developed for this study.

Note

Rubric design: Each principle was scored on a 0–2 scale using keyword and pattern matching on PDF text: 0 = no evidence, 1 = partial evidence, 2 = clear evidence. The rubric was validated by reviewing 30 reports manually before automated application.

The Eight Principles

# Principle Focus
P1 Involve stakeholders Evidence of meaningful stakeholder engagement
P2 Understand what changes Outcomes identified and documented
P3 Value what matters Financial proxies documented
P4 Only include material Materiality discussion present
P5 Do not over-claim Deadweight and/or attribution applied
P6 Be transparent Assumptions stated
P7 Verify the result Sensitivity analysis conducted
P8 Be responsive Learning/recommendations included

Compliance by Principle

The most striking finding is the disparity across principles. Stakeholder involvement (P1) and outcome documentation (P2) are relatively common; financial correction (P5) and transparency of assumptions (P6) are rare.

Mean compliance scores (0–2 scale) for each of SVI’s eight principles, with bootstrap 95% confidence intervals (B=10,000). The dashed line marks the 50% compliance threshold (score = 1.0).

Compliance scores — full table

Principle Mean score (0–2) % Compliant (≥1) 95% CI
P1 Involve stakeholders 1.10 62.0% 57.2%–66.8%
P2 Understand what changes 1.28 71.3% 66.8%–75.8%
P3 Value what matters 0.72 42.0% 37.2%–46.8%
P4 Only include material 0.48 24.0% 19.8%–28.2%
P5 Do not over-claim 0.28 13.8% 10.5%–17.3%
P6 Be transparent 0.62 34.5% 29.9%–39.1%
P7 Verify the result 0.35 16.8% 13.1%–20.5%
P8 Be responsive 0.75 43.4% 38.6%–48.2%
Overall average 0.70 41.2% 39.2%–43.1%

Distribution of Quality Scores

The overall compliance distribution is approximately normal, centred around 41%. However, there is meaningful variation: roughly one in five reports shows compliance above 60%, and a similar proportion shows compliance below 25%.

Distribution of overall quality scores across 376 reports.

Bootstrap confidence intervals by principle

Bootstrap 95% confidence intervals for each principle’s compliance rate. Intervals are narrow (±3–5pp), reflecting the large corpus size and consistency of the pattern.

Quality by Sector

Environmental and health programmes show the highest compliance scores; housing and employment the lowest. This pattern is partly explained by funder requirements: environmental SROI reports are more often produced for sophisticated funders who require methodological documentation.

Mean quality scores by sector (with 95% CIs). Housing dominates the corpus numerically but shows below-average compliance.

Sector-level bootstrap confidence intervals

Bootstrap CIs for sector-level compliance rates. Sectors with narrow CIs (education, housing) reflect larger subsamples.

Assurance and Quality

SVI’s Report Assurance programme is associated with meaningfully higher compliance across almost all principles.

Assured (n=8) Not assured (n=368) Gap
P1 1.38 1.09 +0.29
P2 1.50 1.27 +0.23
P3 1.13 0.71 +0.42
P4 0.88 0.47 +0.41
P5 0.63 0.27 +0.36
P6 1.00 0.61 +0.39
P7 0.75 0.34 +0.41
P8 1.00 0.74 +0.26
Overall 57.7% 37.9% +19.9pp

Assurance gap: 19.9pp 95% CI: 14.7–25.1pp

Assured reports score 19.9 percentage points higher on average compliance than non-assured reports. The gap is statistically significant (p < 0.001) and consistent across all eight principles.

However, even assured reports average only 57.7% compliance — substantially below full compliance. Assurance raises the floor but does not guarantee near-complete adherence.

Predictors of Quality

What distinguishes higher-quality reports? We estimate an OLS regression of overall quality score on key predictors.

Quality_score_i = β₀ + β₁·Stakeholder_engagement_i + β₂·Assured_i
                      + β₃·Forecast_i + β₄·Log(investment)_i + ε_i

N = 376   R² = 0.40   F(4, 371) = 62.8   p < 0.001
Predictor Coefficient Std. Error p-value
Stakeholder engagement intensity 0.38 0.04 <0.001
Formal assurance (binary) 0.22 0.05 <0.001
Forecast report (binary) 0.15 0.04 <0.001
Log(investment value) 0.04 0.02 0.04
Constant 0.18 0.05 <0.001
Note

Interpretation. Stakeholder engagement intensity and formal assurance are the two strongest predictors of quality. Together they explain the bulk of the model’s R² = 0.40. The positive forecast coefficient confirms the structural forecast premium documented in the Calculation Elements section.

Stakeholder Engagement and Quality

Reports with richer stakeholder engagement (more stakeholder groups described, more evidence of consultation) score consistently higher on all eight principles — not just P1. This suggests that stakeholder engagement functions as a quality multiplier: organisations that invest in genuine engagement tend to invest more broadly in methodological rigour.

Stakeholder engagement intensity vs. overall quality score (Pearson r = 0.51, p < 0.001).