Composite Score Distribution
Organization counts per 5-point bin. Dashed curve: normal distribution (μ=44.4, σ=21.0). Tier thresholds marked. Hover bars for details.
Composite vs. Young's Score
Young's score (0–10) normalized to 0–100 (×10) for direct comparison. Points above the diagonal: composite exceeds Young's. Below: Young's exceeds composite. Divergence is analytically meaningful — not an error to collapse.
Instrument design: The two instruments measure different things. Young's Original Score is a binary checklist — each criterion either fires or it doesn't. The Composite Score captures intensity across all criteria. Large positive variance (composite ≫ Young's) typically signals broad, distributed moderate-intensity dynamics. Large negative variance (Young's ≫ composite) typically signals narrow but extreme dynamics — a few criteria at high intensity with low breadth. Neither direction is a scoring error on its own; divergence is the signal.