Table 2

Hierarchical multiple regression—the conceptual model predicts CQC ratings

	Unstandardised coefficients		Standardised coefficients	Change statistics
	R	R²	Adjusted R²	SE	ΔR²	ΔF	P value
Controls†‡	0.312	0.097	0.057	0.638	0.097	2.423	0.054
Full model†§	0.625	0.391	0.357	0.527	0.294	42.891	<0.001*

Engagement scores and Trust financial deficits are the significant predictors of CQC ratings, (*p<0.001)
†Dependent variable: CQC rating.
‡Predictors: (constant), deficit %, FT or non-FT, teaching status, bed numbers.
§Predictors: (constant), deficit %, FT or non-FT, teaching status, bed numbers, engagement score.
CQC, Care Quality Commission; FT, Foundation Trust