Implicit Association Test Performance Research Articles

Robust within-session modulations of IAT scores may reveal novel dynamics of rapid change

The Implicit Association Test (IAT) is employed in the domain of social psychology as a measure of implicit evaluation. Participants in this task complete blocks of trials where they are asked to respond to categories and attributes (e.g., types of faces and types of words). Reaction times in different blocks sharing certain response combinations are averaged and then subtracted from blocks with other response combinations and then normalized, the result of which is taken as a measure indicating implicit evaluation toward or away from the given categories. One assumption of this approach is stationarity of response time distributions, or at a minimum, that temporal dynamics in response times are not theoretically relevant. Here we test these assumptions, examine the extent to which response times change within the IAT blocks and, if so, how trajectories of change are meaningful in relation to external measures. Using multiple data sets we demonstrate within-session changes in IAT scores. Further, we demonstrate that dissociable components in the trajectories of IAT performance may be linked to theoretically distinct processes of cognitive biases as well as behaviors. The present work presents evidence that IAT performance changes within the task, while future work is needed to fully assess the implications of these temporal dynamics.

Neurocomputational mechanisms underlying cross-modal associations and their influence on perceptual decisions

When exposed to complementary features of information across sensory modalities, our brains formulate cross-modal associations between features of stimuli presented separately to multiple modalities. For example, auditory pitch-visual size associations map high-pitch tones with small-size visual objects, and low-pitch tones with large-size visual objects. Preferential, or congruent, cross-modal associations have been shown to affect behavioural performance, i.e. choice accuracy and reaction time (RT) across multisensory decision-making paradigms. However, the neural mechanisms underpinning such influences in perceptual decision formation remain unclear. Here, we sought to identify when perceptual improvements from associative congruency emerge in the brain during decision formation. In particular, we asked whether such improvements represent ‘early’ sensory processing benefits, or ‘late’ post-sensory changes in decision dynamics. Using a modified version of the Implicit Association Test (IAT), coupled with electroencephalography (EEG), we measured the neural activity underlying the effect of auditory stimulus-driven pitch-size associations on perceptual decision formation. Behavioural results showed that participants responded significantly faster during trials when auditory pitch was congruent, rather than incongruent, with its associative visual size counterpart. We used multivariate Linear Discriminant Analysis (LDA) to characterise the spatiotemporal dynamics of EEG activity underpinning IAT performance. We found an ‘Early’ component (∼100–110 ms post-stimulus onset) coinciding with the time of maximal discrimination of the auditory stimuli, and a ‘Late’ component (∼330–340 ms post-stimulus onset) underlying IAT performance. To characterise the functional role of these components in decision formation, we incorporated a neurally-informed Hierarchical Drift Diffusion Model (HDDM), revealing that the Late component decreases response caution, requiring less sensory evidence to be accumulated, whereas the Early component increased the duration of sensory-encoding processes for incongruent trials. Overall, our results provide a mechanistic insight into the contribution of ‘early’ sensory processing, as well as ‘late’ post-sensory neural representations of associative congruency to perceptual decision formation.

Repeated measurement of implicit self-associations in clinical depression: Psychometric, neural, and computational properties.

Implicit self-associations are theorized to be rigidly and excessively negative in affective disorders like depression. Such information processing patterns may be useful as an approach to parsing heterogeneous etiologies, substrates, and treatment outcomes within the broad syndrome of depression. However, there is a lack of sufficient data on the psychometric, neural, and computational substrates of Implicit Association Test (IAT) performance in patient populations. In a treatment-seeking, clinically depressed sample (n = 122), we administered five variants of the IAT-a dominant paradigm used in hundreds of studies of implicit cognition to date-at two repeated sessions (outside and inside a functional MRI scanner). We examined reliability, clinical correlates, and neural and computational substrates of IAT performance. IAT scores showed adequate (.67-.81) split-half reliability and convergent validity with one another and with relevant explicit symptom measures. Test-retest correlations (in vs. outside the functional MRI scanner) were present but modest (.15-.55). In depressed patients, on average, negative implicit self-representations appeared to be weaker or less efficiently processed relative to positive self-representations; elicited greater recruitment of frontoparietal task network regions; and, according to computational modeling of trial-by-trial data, were driven primarily by differential efficiency of information accumulation for negative and positive attributes. Greater degree of discrepancy between implicit and explicit self-worth predicted depression severity. Overall, these IATs show potential utility in understanding heterogeneous substrates of depression but leave substantial room for improvement. The observed clinical, neural, and computational correlates of implicit self-associations offer novel insights into a simple computer-administered task in a clinical population and point toward heterogeneous depression mechanisms and treatment targets. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

A Diffusion Model Approach for Understanding the Impact of 17 Interventions on the Race Implicit Association Test.

Performance on implicit measures reflects construct-specific and nonconstruct-specific processes. This creates an interpretive issue for understanding interventions to change implicit measures: Change in performance could reflect changes in the constructs of interest or changes in other mental processes. We reanalyzed data from six studies (N = 23,342) to examine the process-level effects of 17 interventions and one sham intervention to change race implicit association test (IAT) performance. Diffusion models decompose overall IAT performance (D-scores) into construct-specific (ease of decision-making) and nonconstruct-specific processes (speed-accuracy trade-offs, non-decision-related processes like motor execution). Interventions that effectively reduced D-scores changed ease of decision-making on compatible and incompatible trials. They also eliminated differences in speed-accuracy trade-offs between compatible and incompatible trials. Non-decision-related processes were affected by two interventions only. There was little evidence that interventions had any long-term effects. These findings highlight the value of diffusion modeling for understanding the mechanisms by which interventions affect implicit measure performance.

The impact of instruction- and experience-based evaluative learning on IAT performance: a Quad model perspective

ABSTRACTLearning procedures such as mere exposure, evaluative conditioning, and approach/avoidance training have been used to establish evaluative responses as measured by the Implicit Association Test (IAT). In this paper, we used the Quad model to disentangle the processes driving IAT responses instantiated by these evaluative learning procedures. Half of the participants experienced one of these three procedures whereas the other half only received instructions about how the procedure would work. Across three experiments (total n = 4231), we examined the extent to which instruction-based versus experience-based evaluative learning impacted Quad estimates of the Activation of evaluative information in IAT responses. Relative to a control condition, both instruction- and experience-based evaluative learning procedures influenced Activation. Moreover, and contrary to what prevailing models of implicit evaluations would predict, in no instance did experience-based procedures influence (positive or negative) Activation more strongly than instruction-based procedures. This was true for analyses which combined procedures and also when testing all three procedures individually. Implications for the processes that mediate evaluative learning effects and the conditions under which those processes operate are discussed.

Testing mood-activated psychological markers for suicidal ideation.

To what extent are death- and life-oriented psychological processes among suicidal individuals activated by mood? According to Teasdale's (1988) Differential Activation Hypothesis, we would expect that negative mood-activated psychological processes are maladaptive among suicide ideators (vs. non-ideators) and predictive of subsequent suicidal ideation. This, however, has never been prospectively studied. To address this knowledge gap, we conducted a prospective study assessing psychological risk factors via the Death/Life Implicit Association Test (IAT) and the Suicide Stroop task before and after a temporary negative mood induction. Suicidal ideation was assessed one and six months later. Results based on Death/Life IAT performance largely supported hypotheses, such that suicide ideators demonstrated significantly weaker implicit identification with life after (vs. before) the negative mood induction. Non-ideators demonstrated no significant change, maintaining strong identification with life irrespective of mood. Of note, this baseline interaction may have been accounted for by depressive symptoms. Identification with death (vs. life) predicted greater likelihood of suicidal ideation one month later, controlling for depressive symptoms and baseline suicidal ideation. Only negative mood-activated identification with death predicted suicidal ideation six months later. Suicide Stroop scores did not change as a function of mood or predict subsequent suicidal ideation. Death/Life IAT findings support the Differential Activation Hypothesis and suggest that suicide ideators' identification with life is more variable and easily weakened by negative mood relative to non-ideators. We encourage future work to consider the potential role of transient mood and the importance of measuring psychological processes that pertain to both death and life. (PsycINFO Database Record

Social contexts and personal moral motives reduce implicit prejudice: A direct comparison.

The current research extends previous work (e.g., Blair, 2002; Lai et al., 2014; van Nunspeet, Ellemers, & Derks, 2015) by directly comparing the effectiveness of different contextual factors and personal motives on the reduction of implicit bias toward Muslim women in a 2 × 2 × 2 research design. Non-Muslim participants performed an implicit association test (IAT) for which the implications for their morality or competence were emphasized, and while their performance was evaluated by a minimal ingroup or outgroup member, who was either presented as a member of the devalued group (a woman with a headscarf) or not (a women without a headscarf). Study 1 revealed that performance monitoring by the evaluator with a headscarf resulted in significant bias reduction. Interestingly, in case of performance monitoring by an evaluator without a headscarf, emphasizing the moral implications of participant’s task performance was as effective. In Study 2, we replicated the first finding and found no significant bias toward Muslim women when participants’ IAT performance was evaluated by a woman with a headscarf. Additionally, the prolonged version of the IAT used in this study resulted in a further decrease in bias when the evaluator with a headscarf was presented as a minimal ingroup member. Important implications of the effectiveness of these contextual factors and personal motives are discussed with regard to their difference in level of applicability and implementation.

Is cake more appealing in the afternoon? Time of day is associated with control over automatic positive responses to unhealthy food

Despite researchers considering time of day an important variable in studies on implicit food evaluations and food intake, time of day effects on implicit food evaluations have yet to be tested. Positive implicit evaluations of unhealthy food stimuli measured with an implicit association test (IAT) predict behaviour toward those stimuli, and are assumed to reflect automatic reactions outside of conscious awareness and control. However, recent research has revealed controlled processing to have an influence on IAT performance. The current study tested time of day effects on implicit evaluations of unhealthy food measured with an IAT, and specifically on automatic and controlled processes underlying IAT performance. A sample of 304 undergraduate women aged 17–25years completed a single-category IAT at varying times of the day. Results revealed that participation later in the day was associated with a more positive implicit evaluation of unhealthy food. This was mediated by a decrease in the ability to inhibit positive food reactions (i.e., controlled processing), rather than an increase in automatic positive reactions. The findings draw attention to the importance of considering time of day in studies measuring aspects of implicit cognition using tasks such as the IAT.

Implicit Measure of Life/Death Orientation Predicts Response of Suicidal Ideation to Treatment in Psychiatric Inpatients

In this study, we set out to extend empirical research on the Life-Death Implicit Association Test (IAT) by administering the measure to an adult psychiatric inpatient population with suicidal ideation. We sought to examine its association with other suicide-relevant measures and to determine whether it adds predictive utility beyond that offered by other measures of suicide risk. The IAT was administered (N = 124) at biweekly intervals as part of an assessment battery at an inpatient facility for complex, treatment resistant psychiatric disorders (average length of stay: approximately 6 weeks). Multiple regression procedures were utilized to examine relationships among the measures and their predictive utility with respect to suicidal ideation at discharge. Consistent with prior research with other populations, significant associations were found between IAT performance and explicit (self-report and interview) measures of suicide risk. Moreover, the IAT was found to predict suicidal ideation at discharge above and beyond number of prior suicide attempts and admission scores on measures of depression, suicidal ideation, and hopelessness. Change in IAT performance over the course of treatment was observed. The IAT shows promise as an addition to explicit measures conventionally used to estimate suicide risk in psychiatric patients. These findings are consistent with a cognitive vulnerability model of suicide risk.

Attitudinal and non-attitudinal components of IAT performance.

The Implicit Association Test (IAT) was designed to measure automatically activated attitudinal associations, free of the influence of processes that affect their expression. Subsequent research has shown that IAT performance also is influenced by non-associative processes, but the extent to which these non-associative processes are content-specific or if they operate similarly regardless of the attitude being measured has largely gone unexamined. In the current research, participants completed pairs of IATs that varied in conceptual overlap: Tests shared a high, moderate, or low degree of overlap in the measured attitudes. The Quad model was applied to estimate the contributions of four processes to IAT performance. Evidence was found for two relatively general, non-attitudinal processes and two relatively attitude-specific processes. Implications are discussed for interpretation of IAT scores, individual differences in IAT scores, and IAT score malleability.

Characterizing switching and congruency effects in the Implicit Association Test as reactive and proactive cognitive control.

Recent research has identified an important role for task switching, a cognitive control process often associated with executive functioning, in the Implicit Association Test (IAT). However, switching does not fully account for IAT effects, particularly when performance is scored using more recent d-score formulations. The current study sought to characterize multiple control processes involved in IAT performance through the use of event-related brain potentials (ERPs). Participants performed a race-evaluative IAT while ERPs were recorded. Behaviorally, participants experienced superadditive reaction time costs of incongruency and task switching, consistent with previous studies. The ERP showed a marked medial frontal negativity (MFN) 250-450 ms post-stimulus at midline fronto-central locations that were more negative for incongruent than congruent trials but more positive for switch than for no-switch trials, suggesting separable control processes are engaged by these two factors. Greater behavioral IAT bias was associated with both greater switch-related and congruency-related ERP activity. Findings are discussed in terms of the Dual Mechanisms of Control model of reactive and proactive cognitive control.

Measures of Implicit Attitudes May Conceal Differences in Implicit Associations

Performance on implicit attitude measures is influenced both by the nature of activated evaluative associations and by people’s ability to regulate those associations as they respond. One consequence is that identical implicit attitude scores may conceal different underlying processes. This study demonstrated this phenomenon and also shed light on the nature of age differences in antiaging bias on implicit attitude measures. Although younger and older participants demonstrated equivalent levels of antiaging bias on an Implicit Association Test (IAT), application of the Quad model showed that antiold associations were less activated among older than younger adults, but that older adults were less able to overcome these associations in performing the task. Thus, the lack of age differences in IAT performance concealed differences in both underlying evaluative associations and the ability to control those associations. These findings have important implications for the measurement and interpretation of implicit attitudes.

Moral concerns increase attention and response monitoring during IAT performance: ERP evidence.

Previous research has revealed that people value morality as a more important person characteristic than competence. In this study, we tested whether people adjust their less explicit behavior more to moral than competence values. Participants performed an Implicit Association Test (IAT) that was either framed as a test of their morality or as a test of their competence. The behavioral results revealed a smaller IAT effect (i.e. a weaker negative implicit bias toward Muslims) in the morality condition than in the competence condition. Moreover, event-related potentials indicated increased social categorization of faces (as indexed by the N1 and P150) and enhanced conflict- and error monitoring (N450 and error-related negativity) in the morality condition compared to the competence condition. These findings indicate that an emphasis on morality can increase attentional and motivational processes that help to improve people's task performance.

Assessing Implicit Attitudes: What can be Learned from Simulations?

Empirical studies involving the Implicit Association Test (IAT) have often revealed a general implicit preference for European-American as opposed to African-American stimuli. While it has been pointed out that this does not establish the existence of an implicit negative attitude toward the less preferred target concept, the existence (or absence) of such attitudes is empirically difficult to ascertain. We describe a computational model of performance on the Race-IAT through which the influence of attitudinal positivity or negativity on expected IAT performance is explored using simulations in which the strengths and nature of target-attribute associations in memory are manipulated. Results indicate that IAT effects readily emerge from different patterns of implicit associations without any need for absolutely positive or absolutely negative implicit attitudes. Pitting a simulation of the standard IAT against a simulated Sorting Paired Features Task demonstrates an advantage for the latter in distinguishing each of the implied target-attribute associations.

Manipulating the role of cognitive control while taking the implicit association test

The Implicit Association Test (IAT) is one of the most widely used methods for measuring attitudes in the behavioral and social sciences. Recent studies have found that individual differences in cognitive control correlate with IAT scores. However, these studies did not collect independent measures of attitude, which makes it difficult to isolate the construct of attitude separate from cognitive control. Furthermore, no study has examined whether the role of cognitive control can be manipulated, which is necessary to establish a causal link between cognitive control and IAT performance. By collecting independent measures of attitude (explicit attitude ratings and the Affect Misattribution Procedure: AMP), Experiment 1 factored out the role of attitude for two different IATs and still found a relationship between IAT scores and cognitive control (Stroop and stop-signal). Experiments 2 and 3 manipulated the role of cognitive control through instructions and feedback regarding the race IAT's measurement goal. These manipulations increased average IAT scores (i.e., stronger preference for whites), increased the relationship with cognitive control (Stroop), and decreased the relationship with attitude (AMP). These results demonstrate that cognitive control influences IAT performance rather than merely correlating with IAT performance.

Implicit Bias, Executive Control and Information Processing Speed

AbstractThis study examined the relationships between processing speed and Implicit Association Test (IAT) performance using a race and a socially neutral IAT, in 51 European American adults ranging in age from 19 to 55. Simple reaction time was not correlated with IAT performance. However, faster higher-level processing speed on a 3-back task was correlated with lower transformed scores and shorter latencies on multiple implicit association race and neutral measures. Higher-level processing may account for approximately 70% of this relationship with general processing speed accounting for the remainder. The relationship between higher-level processing and implicit bias may be mediated by shared executive processes. However, patterns of neurobehavioral engagement and activation may also reflect a systemic response to diverse stimuli, suggesting that in individuals with lower implicit bias, executive processes are more efficient resulting in faster higher-level processing and in appearing or being less biased.

The IAT is sensitive to the perceived accuracy of newly learned associations

AbstractThree experiments tested whether the Implicit Association Test (IAT) is sensitive to the perceived accuracy of newly learned associations. In experiment 1, participants learned to associate positive or negative attributes with two novel groups. Participants in one condition were told that the attributes accurately described the groups; in a second condition, prior to learning, they were made aware that the attributes were randomly assigned to the groups. Participants were given an IAT and an explicit measure testing attitudes towards the two groups. When the participants were told that the attributes were accurate, their IAT performance and explicit measure responses indicated a preference for the more positively described group but when the attributes were known to be arbitrary, preferences were reduced according to both measures. Experiment 2 replicated these results and demonstrated that the associations were learned even in the random condition. Experiment 3 included a condition that placed “not” before each attribute, which demonstrated that people can incorporate a negative modifier into a learned association. Explicit attitudes and the IAT showed reversed preferences in this negation condition. These experiments imply that the IAT is sensitive to the perceived accuracy of learned associations. Copyright © 2011 John Wiley & Sons, Ltd.

Dissociable effects of prefrontal and anterior temporal cortical lesions on stereotypical gender attitudes

Clinical observations of patients with ventral frontal and anterior temporal cortical lesions reveal marked abnormalities in social attitudes. A previous study in seven patients with ventral prefrontal lesions provided the first direct experimental evidence for abnormalities in social attitudes using a well-established measure of gender stereotypes, the Implicit Association Test (IAT). Here, we were able to test whether these first findings could be reproduced in a larger sample of 154 patients with penetrating head injuries, and to determine the differential effects of ventromedial prefrontal (vmPFC) and ventrolateral prefrontal (vlPFC) cortical lesions on IAT performance. In addition, we investigated the role of the superior anterior temporal lobe (aTL), recently shown to represent conceptual social knowledge. First, we used a linear regression model to identify the role of each of the three regions, while controlling for the extent of damage to other regions. We found that larger lesions in either the vmPFC or the superior aTL were associated with increased stereotypical attitudes, whereas larger lesions in the vlPFC were associated with decreased stereotypical attitudes. Second, in a confirmatory analysis, we grouped patients by lesion location and compared their performance on the IAT with that of healthy volunteers. Compared to controls, patients with lesions in either the vmPFC or the superior aTL showed increased stereotypical attitudes, whereas patients with lesions in the vlPFC showed decreased stereotypical attitudes. The functional contributions of these regions in social attitudes are discussed.

Validity of the salience asymmetry interpretation of the Implicit Association Test: Comment on Rothermund and Wentura (2004).

The Implicit Association Test (IAT) requires responding to category contrasts such as young versus old, male versus female, and pleasant versus unpleasant. In introducing the IAT, A. G. Greenwald, D. E. McGhee, and J. L. K. Schwartz (1998) proposed that IAT measures reflect mental structures involving the nominal features of the IAT's categories (e.g., age, gender, or valence features). In contrast, K. Rothermund and D. Wentura proposed that IAT performance is dominated by salience asymmetries of the IAT's pairs of contrasted categories. To assess relative contributions of nominal feature contrasts versus salience asymmetries, the authors (a) briefly summarize the extensive evidence now available to support construct validity of the IAT as a measure based on nominal category features and (b) present 2 new experiments that yielded results problematic for the salience asymmetry interpretation.