. 2012 Aug 30;9:102. doi: 10.1186/1479-5868-9-102

Table 3.

Primary datasets: Habit indices as correlates of behaviour and moderators of intention-behaviour relationship in four primary datasets

Source	N†	Behaviour	Habit	Intention	Habit index (α)	Correlations††			Moderation of intention-behaviour relationship
						SRHI-SRBAI	Habit-RFM	Habit-behaviour	Model R²†††	Significance of moderation effect†††† (p)	Intention-behaviour β
						SRHI-SRBAI	Habit-RFM	Habit-behaviour	Model R²†††	Significance of moderation effect†††† (p)	Weak or no habit	Moderate habit	Strong habit
Dataset 1: ( [16], Study 1)	105	Inactive (car) commuting	“Using a car to commute to campus”	“To use a car to commute to campus on most days”	SRHI (.95)	.94	.52	.82^a	.75	.001	.54***	.27*	.01
					SRBAI (.92)		.52	.76^b	.75	<.001	.69***	.41***	.12
					Non-SRBAI (.91)		.49	.81^a	.73	.01	.57***	.37**	.16
Dataset 2: ( [16], Study 2)	102	Active (bicycle) commuting	“Using a bicycle to commute to campus”	“To use a bicycle to commute to campus on most days”	SRHI (.95)	.97	.67	.86 ^a	.77	.04	.16	.02	-.12
					SRBAI (.93)		.65	.86 ^a	.77	.04	.21*	.08	-.05
					Non-SRBAI (.91)		.67	.84 ^a	.74	.04	.26**	.12	-.02
Dataset 3: New dataset	188	Unhealthy snacking	“Eating high-calorie snacks”	“To avoid high-calorie snacks”	SRHI (.89)	.90	-	.50^a	.26	.89
					SRBAI (.84)		-	.42^b	.19	.35
					Non-SRBAI (.81)		-	.50^a	.27	.95
Dataset 4: New dataset	204	Alcohol consumption with the evening meal	“Drinking an alcoholic drink with my evening meal”	“To drink an alcoholic drink with my evening meal”	SRHI (.89)	.95	-	.80 ^a	.68	.14
					SRBAI (.84)		-	.75 ^b	.64	.02	.56***	.46***	.35***
					Non-SRBAI (.81)		-	.80 ^a	.68	.18

*p < .05, ** p < .01, *** p < .001. Further details and analyses of all datasets are available on request from the first author.

† Ns are reduced for correlations with RFM in Datasets 1 (N = 102) and 2 (N = 99) due to missing RFM data.

†† Differing superscript letters in ‘habit-behaviour’ column indicate differences in the magnitude of habit-behaviour correlations at p < .05 (see [37]). Correlations with the transport-specific RFM were only available in Datasets 1 and 2. All correlations significant at p < .01.

††† All regression models were significant at p < .001.

†††† ‘Moderation effect’ refers to the predictive impact of a means-centred habit x intention interaction term on behaviour, controlling for habit and intention as independent predictors. Simple slope coefficients are provided for significant moderation effects only (p < .05).