Spontaneous evaluations: Similarities and differences between the affect heuristic and implicit attitudes

Relationships between the race implicit association test and other measures of implicit and explicit social cognition

Background

The race-based Implicit Association Test (IAT) was proposed to measure individual differences in implicit racial bias subsumed within social cognition. In recent years, researchers have debated the theoretical tenets underpinning the IAT, questioning whether performance on this task: (1) measures implicit attitudes that operate automatically outside of conscious awareness; (2) reflects individual differences in social cognition; and (3) can predict social behavior. One way to better address these research questions is to assess whether the race-IAT correlates with other implicit processes that are subsumed within social cognition.

Aims

The current study assessed whether the race-IAT was related to other commonly used individual difference measures of implicit (and explicit) social cognition. Experiment 1 assessed whether dissociable patterns of performance on the race-IAT were related to measures of implicit imitative tendencies, emotion recognition and perspective taking toward White task actors, as well as explicit measures of trait and state affective empathy and racial bias. Overcoming limitations of task conceptual correspondence, Experiment 2 assessed whether these latter tasks were sensitive in detecting racial biases by using both White and Black task actors and again examined their relationships with the race-IAT.

Method

In two lab-based experiments, 226 and 237 participants completed the race-IAT followed by an extensive battery of social cognition measures.

Results

Across both experiments, pro-White/anti-Black bias on the race-IAT was positively related to a pro-White bias on explicit measures of positive affective empathy. However, relationships between the race-IAT and implicit imitative tendencies, perspective taking, emotion recognition, and explicit trait and negative state affective empathy were statistically equivalent.

Conclusion

The race-IAT was consistently related to explicit measures of positive state affective empathy but not to other individual difference measures of implicit social cognition. These findings are discussed with regards to the theoretical underpinnings of the race-IAT as an individual difference measure of implicit social cognition, as well as alternative explanations relating to the reliability of social cognition measures and the various combinations of general-purpose (social and non-social) executive processes that underpin performance on these tasks.

Risk perception and behavioral intentions in facing compound climate-related hazards

Compound climate-related events are a complex combination of climate drivers and hazards leading to a significant impact on natural and anthropic systems. Owing to their complexity and critical consequences, interdisciplinary undertaking is required to improve risk analysis, management, and communication. Although prior research in cognitive sciences extensively investigated risk perception in case of a single hazard, the analysis of compound hazards perception is still an open issue. Here, based on cognitive psychology insights, we empirically investigate how individuals' risk perception is shaped by the subjective relevance attributed to different causal cues entailed in a compound event scenario. The results revealed that the subjective validity assigned to specific evidence presented in the composite scenario leads perceived risk related to one of the outcomes (i.e., flooding and wildfire) to prevail over the other. Moreover, the relevance of different cues is likely to affect participants' automatic behavioral intentions (stay at home vs. evacuation).

Affective Focus Increases the Concordance Between Implicit and Explicit Attitudes

Two attitude dichotomies – implicit versus explicit and affect versus cognition – are presumed to be related. Following a manipulation of attitudinal focus (affective or cognitive), participants completed two implicit measures (Implicit Association Test and the Sorting Paired Features task) and three explicit attitude measures toward cats/dogs (Study 1) and gay/straight people (Study 2). Based on confirmatory factor analysis, both studies showed that explicit attitudes were more related to implicit attitudes in an affective focus than in a cognitive focus. We suggest that, although explicit evaluations can be meaningfully parsed into affective and cognitive components, implicit evaluations are more related to affective than cognitive components of attitudes.

Examining the relationship between affect and implicit associations: implications for risk perception

It has been suggested that affect may play an important role in risk perception. Slovic et al. argued that people make use of the "affect heuristic" when assessing risks because it is easier and more efficient to rely on spontaneous affective reactions than to analyze all available information. In the present studies, a single category implicit association test (SC-IAT) to measure associations evoked by different hazards was employed. In the first study, we tested the extent to which the SC-IAT corresponds to the theoretical construct of affect in a risk framework. Specifically, we found that the SC-IAT correlates with other explicit measures that claim to measure affect, as well as with a measure of trust, but not with a measure that captures a different construct (subjective knowledge). In the second study, we addressed the question of whether hazards that vary along the dread dimension of the psychometric paradigm also differ in the affect they evoke. The results of the SC-IAT indicated that a high-dread hazard (nuclear power) elicits negative associations. Moreover, the high-dread hazard evoked more negative associations than a medium-dread hazard (hydroelectric power). In contrast, a nondread hazard (home appliances) led to positive associations. The results of our study highlight the importance of affect in shaping attitudes and opinions toward risks. The results further suggest that implicit measures may provide valuable insight into people's risk perception above and beyond explicit measures.