Abstract

Bidimensional attitudes have been shown to independently predict behaviour, with the positive dimension of attitude being a stronger predictor of behaviour than the negative dimension (e.g., Elliott, Brewster, et al., 2015, Br. J. Psychol, 106, 656). However, this positivity bias has been demonstrated with explicit attitude measures only and explicit attitude measures tap deliberative processes rather than automatic processes, which are known to be important in the execution of many behaviours. The aim of this study was to test whether implicit bidimensional attitudes can account for variance in speeding behaviour over and above explicit bidimensional attitudes and whether the positivity bias that is typically found with explicit attitudes generalizes to implicit attitudes. A total of 131 drivers completed a questionnaire measuring their explicit bidimensional attitudes towards speeding. They also completed Implicit Association Tests measuring their implicit bidimensional attitudes. Two weeks later, speeding behaviour was measured using a driving simulator. Explicit attitudes accounted for a significant proportion of the variance in subsequent speeding behaviour. Implicit attitudes accounted for a statistically significant increment to explained variance. The positive dimension of both explicit and implicit attitudes predicted speeding behaviour but the negative dimensions did not. Theoretical implications for understanding the potential attitudinal causes of behaviour and practical implications for behaviour‐change interventions are discussed.

Highlights

  • Attitudes are typically treated as unidimensional predictors of behavioural intentions and subsequent behaviour (e.g., Armitage & Conner, 2001; Eagly & Chaiken, 1993)

  • Even in studies of attitudinal ambivalence, a primary focus has been to demonstrate that evaluative conflict between the separate positive and negative attitude dimensions moderates the relationship between overall measures of attitudes, on the one hand, and measures of behavioural intentions or subsequent behaviour, on the other hand, with greater evaluative conflict leading to poorer attitude–behaviour relationships

  • The results from this study extend the findings from studies of unidimensional attitudes (e.g., Armitage & Conner, 2001; Eagly & Chaiken, 1993) in which attitudes are conceptualized as either positive or negative evaluations. They support the positivity bias that is typically found in previous studies of bidimensional attitudes with the positive attitude dimension being more predictive of behaviour than the negative dimension (Elliott, Brewster, et al, 2015; McCartan & Elliott, 2018)

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Summary

Introduction

Attitudes are typically treated as unidimensional predictors of behavioural intentions and subsequent behaviour (e.g., Armitage & Conner, 2001; Eagly & Chaiken, 1993). Several researchers have questioned the singularity of the attitude construct and have distinguished between different components of attitudes It is common for researchers (e.g., Elliott & Thomson, 2010; Elliott, Thomson, Robertson, Stephenson, & Wicks, 2013; Lawton, Conner, & McEachan, 2009; Rhodes, Blanchard, & Matheson, 2006) to distinguish between cognitive attitudes (positive or negative instrumental evaluations; e.g., ‘For me, speeding is harmful/beneficial’) and affective attitudes (e.g., positive or negative emotional evaluations; e.g., ‘For me, speeding is enjoyable/unenjoyable’). In both cases, attitudes are treated as unidimensional (i.e., positive or negative). It allows researchers to test potential differences between their predictive validities, which has important implications for better understanding behaviour (i.e., which attitude dimension is the better predictor of behaviour?) and the development of effective interventions (i.e., which attitude dimension might need prioritizing in behaviour-change efforts?)

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