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Table 3 Primary datasets: Habit indices as correlates of behaviour and moderators of intention-behaviour relationship in four primary datasets

From: Towards parsimony in habit measurement: Testing the convergent and predictive validity of an automaticity subscale of the Self-Report Habit Index

Source

N†

Behaviour

Habit

Intention

Habit index (Îą)

Correlations††

Moderation of intention-behaviour relationship

SRHI-SRBAI

Habit-RFM

Habit-behaviour

Model R 2†††

Significance of moderation effect†††† (p)

Intention-behaviour β

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

.82a

.75

.001

.54***

.27*

.01

SRBAI (.92)

.52

.76b

.75

<.001

.69***

.41***

.12

Non-SRBAI (.91)

.49

.81a

.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

-

.50a

.26

.89

   

SRBAI (.84)

-

.42b

.19

.35

   

Non-SRBAI (.81)

-

.50a

.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

   
  1. *p < .05, ** p < .01, *** p < .001. Further details and analyses of all datasets are available on request from the first author.
  2. † Ns are reduced for correlations with RFM in Datasets 1 (N = 102) and 2 (N = 99) due to missing RFM data.
  3. †† 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.
  4. ††† All regression models were significant at p < .001.
  5. †††† ‘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).