Task-Set Inertia, Attitude Accessibility, and Compatibility-Order Effects: New Evidence for a Task-Set Switching Account of the Implicit Association Test Effect

Negative or positive left or right? The influence of attribute label position on IAT effects in picture-word IATs and word IATs

The Implicit Association Test (IAT) is a widely used measure of implicit attitudes. Despite its application in various fields, the malleability of the IAT by different methodological factors has been shown frequently. In this article, we focus on two factors that potentially influence the IAT effect, but which have received either inconsistent or no support so far: the IAT version (i.e., picture-word IAT vs. word IAT) and the position of the attribute labels on the screen (i.e., the positive or negative label on the left side). In two experiments, we used the original flower-insect IAT to systematically analyse the effects of the position of attribute labels (i.e., the assignment of the positive or the negative attribute label to the left screen position) and the block order of compatible (e.g., flower and positive) and incompatible blocks (e.g., flower and negative) as between-subjects factors. Reliable IAT effects were observed for the picture-word IAT and the word IAT when calculating the IAT effect as a difference in the response times as well as when computing the recommended D Score as IAT outcome. Smaller IAT effects occurred in the picture-word IAT than in the word IAT, supporting existing literature. In addition, an effect of the position of the attribute labels on the screen was found in both experiments, resulting in larger IAT effects when the negative attribute label was positioned on the left. This effect also appeared when calculating the D Score. The study highlights the importance of methodical factors for the IAT outcome.

The verb-self link: An implicit association test study

Agency is defined as the ability to assign and pursue goals. Given people’s focus on achieving their own goals, agency has been found to be strongly linked to the self. In two studies (N = 168), we examined whether this self–agency link is visible from a linguistic perspective. As the preferred grammatical category to convey agency is verbs, we hypothesize that, in the Implicit Association Test (IAT), verbs (vs. nouns) would be associated more strongly with the self (vs. others). Our results confirmed this hypothesis. Participants exhibited particularly fast responses when reading self-related stimuli (e.g., “me” or “my”) and verb stimuli (e.g., “deflect” or “contemplate”) both necessitated pressing an identical rather than different response keys in the IAT (d = .25). The finding connects two streams of literature—on the link between agency and verbs and on the link between self and agency—suggesting a triad between self, agency, and verbs. We argue that this verb–self link (1) opens up new perspectives for understanding linguistic expressions of agency and (2) expands our understanding of how word choice impacts socio-cognitive processing.

No elephant in the room: The incremental validity of implicit self-esteem measures

Correlational research aiming to validate measures and the construct of implicit self-esteem (ISE) has produced heterogeneous results in the past. We argue that this might be caused by two underappreciated obstacles: the situational malleability and construct irrelevant variance in conventional ISE measures. To minimize these problems, we applied process and latent state-trait modeling to Implicit Association Test and Name Letter Task data collected on four occasions across six weeks in a preregistered online study (initial N = 360, final N = 302). We investigated the relation of supposed trait ISE parameters with trait explicit self-esteem (ESE) and criteria. Results indicated no latent trait correlation among the different supposed indicators of ISE, small latent trait correlations of indicators of ISE and ESE, and little incremental validity of the supposed ISE measures in predicting potential criterion measures over and above ESE. These findings align with previous critical evaluations regarding the supposed measures of ISE and the conceptual validity of ISE as an association. Implications for future research on ISE are discussed.

Cognitive flexibility and parental education differentially predict implicit and explicit racial biases in bilingual children

Prior research has suggested that bilingual children demonstrate reduced social bias relative to their monolingual peers. In particular, they exhibit less implicit bias against racial outgroups. However, the cognitive determinants of racial bias in bilingual children remain unclear. In the current study, relationships between racial bias and three cognitive factors (inhibitory control, cognitive flexibility, and perspective-taking ability), along with language proficiency and parental education, were investigated in a sample of bilingual preschoolers (N = 55). Children were bilingual learners of English and Mandarin. Results demonstrated that implicit bias was predicted by cognitive flexibility, independent of variation in inhibitory control, second language vocabulary, perspective taking, and parental education. In contrast, explicit bias was predicted by parental education alone and not by cognitive or linguistic factors. Findings suggest that increased cognitive flexibility, often thought to be an outgrowth of bilingual experience, may also be associated with a reduction in implicit bias. Findings are discussed in terms of specific mechanisms that may link cognitive factors, bilingualism, and racial bias.

Assessing Implicit Cognitive Motivation: Developing and Testing An Implicit Association Test to Measure Need for Cognition

The personality trait need for cognition (NFC) refers to individual differences in cognitive motivation and has proven to be an extraordinarily useful descriptor and predictor in the context of information processing. So far, NFC has been assessed via self–report. More recent research, however, accentuates the value of indirect measures, as they tap into implicit aspects of the personality self–concept and are assumed to provide incremental validity especially in predicting automatic aspects of behaviour. Therefore, in the present research, different NFC–Implicit Association Tests (IATs) were developed and pretested for psychometric properties. The final version was systematically tested for its predictive validity over and above the direct NFC measure based on a latent variable approach. The results provide evidence for a double dissociation model and suggest the NFC–IAT to exert its predictive value regarding the more spontaneous aspects of NFC–related behaviour, whereas the NFC scale was rather predictive for the more reflective aspects of behaviour. Moreover, the present research contributes to the understanding of construct–unrelated variance in personality IATs and offers valuable information for test development in the realm of personality IATs. Copyright © 2012 John Wiley & Sons, Ltd.

Moving Beyond the Relative Assessment of Implicit Biases: Navigating the Complexities of Absolute Measurement

A relative assessment of implicit biases is limited because it produces a combined summary evaluation of two attitudinal beliefs while concealing the biases driving this evaluation. Similar limitations occur for relative explicit measures. Here, we will discuss the benefits and weaknesses of using relative versus absolute (individual/separate) assessments of implicit and explicit attitudes. The Implicit Association Test (IAT) will be the focal implicit measure discussed, and we will present a new perspective challenging the evidence that the IAT can only be utilized to measure relative, not absolute, implicit attitudes. Modeling techniques (i.e., Quad models) that can determine the separate biases behind the relative summary evaluation will also be considered. Accurately utilizing absolute implicit bias scores will enable academia and industry to answer more complex research questions. For implicit social cognition to maintain and expand its usefulness, we encourage researchers to further test and refine the measurement of absolute implicit biases.

Age Invariance in Implicit Bias: Alternative Perspectives and Their Implications for the Development of Implicit Cognition

Current theories of social cognition assume that implicit bias is influenced by early socialization experiences. To the extent that implicit biases reflect traces of past experiences, they should form slowly over time and grow with repeated experience. However, most research examining implicit bias in children indicates that levels of bias do not vary across age groups (i.e., age invariance). This article reviews the dominant theoretical interpretation of age invariance in implicit bias and considers alternative interpretations for these findings in light of several methodological and theoretical limitations. Specifically, the available evidence cannot distinguish between the effects of cohort versus development, category versus exemplar, attitude activation versus application, ingroup versus outgroup evaluation, or attitude-versus control-oriented processes. When considered from a developmental perspective, these issues suggest plausible alternative interpretations of age invariance, with important implications for understanding the mechanisms underlying the formation of implicit cognition and theories of implicit cognition.

Dissociating Automatic Associations: Comparing Two Implicit Measurements of Race Bias

Weak correspondence across different implicit bias tasks may arise from the contribution of unique forms of automatic and controlled processes to response behavior. Here, we examined the correspondence between estimates of automatic and controlled processing derived from two sequential priming tasks with identical structure and timing designed to separately measure stereotypic (Weapons Identification Task; WIT) and evaluative (Affective Priming Task; APT) associations. Across two studies using predominantly White samples, three consistent patterns emerged in the data: (1) stereotypic bias was stronger for Black targets, whereas evaluative bias was stronger for White targets; (2) overall response accuracy bias correlated modestly across the two tasks; and (3) multinomial processing tree estimates of controlled processing corresponded much more strongly than estimates of automatic processing. These findings support models positing distinct learning and memory systems for different forms of race bias, and suggest that these differing forms contribute to estimates of automatic associations.

Predicting Behavior With Implicit Measures: Disillusioning Findings, Reasonable Explanations, and Sophisticated Solutions

Two decades ago, the introduction of the Implicit Association Test (IAT) sparked enthusiastic reactions. With implicit measures like the IAT, researchers hoped to finally be able to bridge the gap between self-reported attitudes on one hand and behavior on the other. Twenty years of research and several meta-analyses later, however, we have to conclude that neither the IAT nor its derivatives have fulfilled these expectations. Their predictive value for behavioral criteria is weak and their incremental validity over and above self-report measures is negligible. In our review, we present an overview of explanations for these unsatisfactory findings and delineate promising ways forward. Over the years, several reasons for the IAT's weak predictive validity have been proposed. They point to four potentially problematic features: First, the IAT is by no means a pure measure of individual differences in associations but suffers from extraneous influences like recoding. Hence, the predictive validity of IAT-scores should not be confused with the predictive validity of associations. Second, with the IAT, we usually aim to measure evaluation ("liking") instead of motivation ("wanting"). Yet, behavior might be determined much more often by the latter than the former. Third, the IAT focuses on measuring associations instead of propositional beliefs and thus taps into a construct that might be too unspecific to account for behavior. Finally, studies on predictive validity are often characterized by a mismatch between predictor and criterion (e.g., while behavior is highly context-specific, the IAT usually takes into account neither the situation nor the domain). Recent research, however, also revealed advances addressing each of these problems, namely (1) procedural and analytical advances to control for recoding in the IAT, (2) measurement procedures to assess implicit wanting, (3) measurement procedures to assess implicit beliefs, and (4) approaches to increase the fit between implicit measures and behavioral criteria (e.g., by incorporating contextual information). Implicit measures like the IAT hold an enormous potential. In order to allow them to fulfill this potential, however, we have to refine our understanding of these measures, and we should incorporate recent conceptual and methodological advancements. This review provides specific recommendations on how to do so.

A meta-analysis of procedures to change implicit measures

Using a novel technique known as network meta-analysis, we synthesized evidence from 492 studies (87,418 participants) to investigate the effectiveness of procedures in changing implicit measures, which we define as response biases on implicit tasks. We also evaluated these procedures' effects on explicit and behavioral measures. We found that implicit measures can be changed, but effects are often relatively weak (|ds| < .30). Most studies focused on producing short-term changes with brief, single-session manipulations. Procedures that associate sets of concepts, invoke goals or motivations, or tax mental resources changed implicit measures the most, whereas procedures that induced threat, affirmation, or specific moods/emotions changed implicit measures the least. Bias tests suggested that implicit effects could be inflated relative to their true population values. Procedures changed explicit measures less consistently and to a smaller degree than implicit measures and generally produced trivial changes in behavior. Finally, changes in implicit measures did not mediate changes in explicit measures or behavior. Our findings suggest that changes in implicit measures are possible, but those changes do not necessarily translate into changes in explicit measures or behavior. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

The Automatic Evaluation of Regularity and Semantic Decodability in Wallpaper Decorative Patterns

The perception and evaluation of decorative patterns can have a high impact in daily life but has received little empirical attention. This article attempts to offer some insight in terms of the regularity and semantic decodability. The implicit attitudes of subjects were measured by the Implicit Association Test. The results showed that regularity and semantic information can be automatically evaluated. The regular and realistic wallpaper decorative patterns are implicitly preferred to random and abstract ones. The Implicit Association Test effect of the former was greater than the latter. The increase in the number of motifs led to a decrease in the response latencies of regular and realistic patterns. The findings indicated that the processing fluency of wallpaper patterns is enhanced by a translational symmetry operation and a higher conceptual fluency of motifs. The resulting processing acceleration in high-density patterns may be due to the formation of a better Gestalt when the motifs are closer to one another.

Using ERPs to investigate valence processing in the affect misattribution procedure

The construct validity of the affect misattribution procedure (AMP) has been challenged by theories proposing that the task does not actually measure affect misattribution. The current study tested the validity of the AMP as a measure of affect misattribution by examining three components of the ERP known to be associated with the allocation of motivated attention. Results revealed that ERP amplitudes varied in response to affectively ambiguous targets as a function of the valence of preceding primes. Furthermore, differences in ERP responses to the targets were largely similar to differences in ERPs elicited by the primes. The existence of valence differentiation in both the prime-locked and the target-locked ERPs, along with the similarity in this differentiation, provides evidence that the affective content of the primes is psychologically registered, and that this content influences the processing of the subsequent, evaluatively ambiguous targets, both of which are required if the priming effects found in the AMP are the result of affect misattribution. However, the behavioral priming effect was uncorrelated with ERP amplitudes, leaving some question as to the locus of this effect in the information-processing system. Findings are discussed in light of the strengths and weaknesses of using ERPs to understand the priming effects in the AMP.

Disentangling recoding processes and evaluative associations in a gender attitude implicit association test among adult males

The course of male development of implicit gender attitudes between young age (N = 30, age 17-26 years) and old age (N = 34, age 56-78 years) was investigated. The findings demonstrated that younger males had a stronger implicit preference for females relative to males than did older participants, shedding light on the nature of age differences in gender attitudes in regard to implicit measures. Although younger and older participants demonstrated different levels of gender bias on an implicit association test (IAT), the application of the ReAL model [Meissner, F., & Rothermund, K. (2013). Estimating the contributions of associations and recoding in the implicit association test: The ReAL model for the IAT. Journal of Personality and Social Psychology, 104(1), 45-69.] showed that evaluative associations of both female and male were activated at equivalent levels among both the young and old age groups, but younger males were more able to recode the female gender and a positive evaluation into common categories. Thus, the differences in attitudinal responses between younger and older males exaggerated the differences in the underlying evaluative associations with respect to gender and concealed the differences in recoding processes. These findings have important implications for the measurement and interpretation of implicit gender attitudes.

Is attention enough? A re-examination of the impact of feature-specific attention allocation on semantic priming effects in the pronunciation task

In a series of articles, Spruyt and colleagues have developed the Feature-Specific Attention Allocation framework, stating that the semantic analysis of task-irrelevant stimuli is critically dependent upon dimension-specific attention allocation. In an adversarial collaboration, we replicate one experiment supporting this theory (Spruyt, de Houwer, & Hermans, 2009; Exp. 3), in which semantic priming effects in the pronunciation task were found to be restricted to stimulus dimensions that were task-relevant on induction trials. Two pilot studies showed the capability of our laboratory to detect priming effects in the pronunciation task, but also suggested that the original effect may be difficult to replicate. In this study, we tried to replicate the original experiment while ensuring adequate statistical power. Results show little evidence for dimension-specific priming effects. The present results provide further insight into the malleability of early semantic encoding processes, but also show the need for further research on this topic.

The relational responding task: toward a new implicit measure of beliefs

We introduce the Relational Responding Task (RRT) as a tool for capturing beliefs at the implicit level. Flemish participants were asked to respond as if they believed that Flemish people are more intelligent than immigrants (e.g., respond “true” to the statement “Flemish people are wiser than immigrants”) or to respond as if they believed that immigrants are more intelligent than Flemish people (e.g., respond “true” to the statement “Flemish people are dumber than immigrants”). The difference in performance between these two tasks correlated with ratings of the extent to which participants explicitly endorsed the belief that Flemish people are more intelligent than immigrants and with questionnaire measures of subtle and blatant racism. The current study provides a first step toward validating RRT effects as a viable measure of implicit beliefs.

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.

Toward a comprehensive understanding of executive cognitive function in implicit racial bias

Although performance on laboratory-based implicit bias tasks often is interpreted strictly in terms of the strength of automatic associations, recent evidence suggests that such tasks are influenced by higher-order cognitive control processes, so-called executive functions (EFs). However, extant work in this area has been limited by failure to account for the unity and diversity of EFs, focus on only a single measure of bias and/or EF, and relatively small sample sizes. The current study sought to comprehensively model the relation between individual differences in EFs and the expression of racial bias in 3 commonly used laboratory measures. Participants (N = 485) completed a battery of EF tasks (Session 1) and 3 racial bias tasks (Session 2), along with numerous individual difference questionnaires. The main findings were as follows: (a) measures of implicit bias were only weakly intercorrelated; (b) EF and estimates of automatic processes both predicted implicit bias and also interacted, such that the relation between automatic processes and bias expression was reduced at higher levels of EF; (c) specific facets of EF were differentially associated with overall task performance and controlled processing estimates across different bias tasks; (d) EF did not moderate associations between implicit and explicit measures of bias; and (e) external, but not internal, motivation to control prejudice depended on EF to reduce bias expression. Findings are discussed in terms of the importance of global and specific EF abilities in determining expression of implicit racial bias.

The Insect-Nonword IAT Revisited

In 2001, Brendl and colleagues reported a reversed compatibility effect for an insect-nonword Implicit Association Test (IAT), apparently indicating more positive attitudes for insects than for neutral nonwords and therefore calling into question the validity of the IAT. According to a prominent alternative account of IAT effects, this reversed effect reflects task recoding based on salience asymmetries. To disentangle the contributions of associations and recoding, we analyzed data of an insect-nonword IAT with the ReAL model and discovered that (1) recoding is responsible for the unexpected direction of this IAT effect and (2) insects still activated negative associations. Applying the ReAL model helps to avoid misleading interpretations of IAT effects by providing independent estimates for different processes within an IAT.

An implicit measure of associations with mental illness versus physical illness: response latency decomposition and stimuli differential functioning in relation to IAT order of associative conditions and accuracy

The present study aimed at the definition of a latent measurement dimension underlying an implicit measure of automatic associations between the concept of mental illness and the psychosocial and biogenetic causal explanatory attributes. To this end, an Implicit Association Test (IAT) assessing the association between the Mental Illness and Physical Illness target categories to the Psychological and Biologic attribute categories, representative of the causal explanation domains, was developed. The IAT presented 22 stimuli (words and pictures) to be categorized into the four categories. After 360 university students completed the IAT, a Many-Facet Rasch Measurement (MFRM) modelling approach was applied. The model specified a person latency parameter and a stimulus latency parameter. Two additional parameters were introduced to denote the order of presentation of the task associative conditions and the general response accuracy. Beyond the overall definition of the latent measurement dimension, the MFRM was also applied to disentangle the effect of the task block order and the general response accuracy on the stimuli response latency. Further, the MFRM allowed detecting any differential functioning of each stimulus in relation to both block ordering and accuracy. The results evidenced: a) the existence of a latency measurement dimension underlying the Mental Illness versus Physical Illness - Implicit Association Test; b) significant effects of block order and accuracy on the overall latency; c) a differential functioning of specific stimuli. The results of the present study can contribute to a better understanding of the functioning of an implicit measure of semantic associations with mental illness and give a first blueprint for the examination of relevant issues in the development of an IAT.

On methodological standards in training and transfer experiments

The past two decades have seen a tremendous surge in scientific interest in the extent to which certain types of training-be it aerobic, athletic, musical, video game, or brain trainer-can result in general enhancements in cognitive function. While there are certainly active debates regarding the results in these domains, what is perhaps more pressing is the fact that key aspects of methodology remain unsettled. Here we discuss a few of these areas including expectation effects, test-retest effects, the size of the cognitive test battery, the selection of control groups, group assignment methods, difficulties in comparing results across studies, and in interpreting null results. Specifically, our goal is to highlight points of contention as well as areas where the most commonly utilized methods could be improved upon. Furthermore, because each of the sub-areas above (aerobic training through brain training) share strong similarities in goal, theoretical framework, and experimental approach, we seek to discuss these issues from a general perspective that considers each as members of the same broad "training" domain.

Task-Switching Methodology

In this paper, the authors review studies involving switching between an evaluative task and a nonevaluative task as a means to indirectly assess evaluative processes in the context of research of attitudes, psychopathology, and personality traits. Two task-switching indices, Switching Cost and Task Rule Congruency Effect, which represent two distinct sets of processes, have been used so far and can be assessed simultaneously. The authors suggest that using task-switching methodology as a platform provides significant methodological as well as theoretical advantages, which they attribute to the heightened involvement of the individual’s goal system, characterizing the task-switching paradigm.

‘Women Are Bad at Math, but I'M Not, Am I?’ Fragile Mathematical Self–Concept Predicts Vulnerability to A Stereotype Threat Effect on Mathematical Performance

The present research reports the results of three studies showing that individuals with a fragile self–concept in the domain of performance are particularly vulnerable to stereotype threat effects. Specifically, women who explicitly described themselves as rather mathematical but whose implicit self–concepts contradicted these claims were vulnerable to stereotype threat effects on mathematical performance. This effect was robust across three studies, independent of the subtleness or content of the stereotype threat manipulation. Additionally, it was shown that the effect was mediated by anxious worrying (Study 3). Copyright © 2012 John Wiley & Sons, Ltd.

Alcohol selectively impairs negative self-relevant associations in young drinkers

The stress-dampening effects of alcohol have been attributed to 'appraisal disruption'- decreased ability of stimuli to evoke threatening associations in memory. Appraisal disruption could apply to oneself as well as situational stimuli. This question was investigated in undergraduate drinkers (n=90/Gender) with low or high anxiety sensitivity (AS; n=90/AS Group), a trait linked with hyper-vigilance to threat. Subjects received alcohol (0.7 g/kg males; 0.63 g/kg females), placebo or soft drink and performed a speech about their appearance. Sequence of drink administration and speech advisory (threat) was manipulated between subjects: Threat before Drink, Threat after Drink, No-Threat Control. The Implicit Association Test measured self-relevant associations based upon time to classify positive and negative attribute words (e.g. Cute, Ugly) paired with self-relevant or non-self-relevant object words (e.g. Me, Them). Alcohol selectively slowed negative self-relevant decisions, regardless of other factors. Relative fluency of negative versus positive decisions (D) correlated inversely with state anxiety and systolic blood pressure immediately before speech performance, and correlated directly with severity of alcohol problems. These findings are consistent with the Appraisal Disruption hypothesis. Preferential impairment of negative self-relevant associations may decrease perceived vulnerability under alcohol and increase risk for alcohol problems in young drinkers.

The Personality Underpinnings of Explicit and Implicit Generalized Prejudice

The idea of prejudice as a tendency that can be generalized from one target to another and the personality–prejudice relationship have been widely examined using explicit measures. However, less is known about this tendency and its relation to personality for implicit prejudice measures, like the implicit association test (IAT). Three studies including explicit and corresponding implicit prejudice measures toward various target groups confirmed a generalized factor for both types of measures with a stronger common component for the explicit factor. Personality was significantly related to the explicit measures only. Also, the personality and prejudice measures were unrelated to explicit and implicit attitudes toward an irrelevant target which rules out potential method confound. These results indicate that explicit and implicit prejudice measures tap different psychological constructs relating differently to the individual’s self-reported personality. The findings have implications for the debate on whether IAT scores reflect personally endorsed attitudes.

When old and frail is not the same: dissociating category and stimulus effects in four implicit attitude measurement methods

It is not always clear whether implicit attitude measures assess the attitude towards single stimuli or the attitude towards categories. Nevertheless, this is important to know-both for interpreting implicit attitude effects and for selecting the test that is most appropriate for individual research aims. We investigated this for four implicit measures: the standard Implicit Association Test (IAT), the IAT-recoding free (IAT-RF), and two versions of the Extrinsic Affective Simon Task (EAST, identification (ID)-EAST). Effects in the standard IAT reflect evaluations of categories and single stimuli, whereas the IAT-RF measures attitudes towards categories only. Both versions of the EAST measure evaluations of single stimuli independently from the evaluation of categories. Three different effect sources are distinguished: attitudes towards single stimuli (IAT; EAST and ID-EAST), attitudes towards target categories (IAT and IAT-RF), and processes of recoding (IAT), which do not necessarily reflect attitudes.

Understanding the role of executive control in the implicit association test: why flexible people have small IAT effects

The goal of the present research was to investigate the role of three central-executive functions-switching of mental sets, inhibition of prepotent responses, and simultaneous storage and processing (i.e., working-memory capacity)-in accounting for method variance in the Implicit Association Test (IAT). In two studies, several IATs with unrelated contents were administered along with a battery of central-executive tasks, with multiple tasks tapping each of the above executive functions. Method variance was found to be related to the switching factor, but not to the inhibition factor. There was also evidence for a small independent contribution of the working-memory capacity factor. The findings constrain process accounts of the IAT, lending support to an account in terms of task-set switching, and they have consequences for applications.

When scoring algorithms matter: effects of working memory load on different IAT scores

In most process accounts of the Implicit Association Test (IAT), it is assumed that compatible and incompatible IAT blocks require different amounts of working memory capacity (WMC) and recruit executive functions such as task switching and inhibition to different extents. In the present study (N= 120), cognitive load during the completion of an IAT was experimentally manipulated by means of an oral random-number generation secondary task. Cognitive load led to slower latencies and more errors, especially in the incompatible block. However, different IAT scores, including conventional scores and D-scores, were affected differentially by the load manipulation: scores based on raw data of task performance such as latencies and errors were increased whereas scores that use transformations such as log-latency scores and D-scores were decreased. A number of analyses shed light on the reasons for the unexpected dissociation between scoring algorithms. Remarkably, external correlations of the IAT scores were not affected by the experimental manipulation.

Response Conflict and Affective Responses in the Control and Expression of Race Bias

Models of racial attitudes traditionally have assumed that individual differences in the strength of underlying, 'implicit' associations between racial categories and stereotypical traits are the primary determinant of the expression of race bias. Thus, individual differences in performance on laboratory tasks designed to assess implicit race bias tend to be interpreted in terms of association strength. Here, we argue that such associations tell only part of the story, and probably the least interesting part. We posit that response conflict and its regulation are critical to understanding the need for control, and that affect-related processes help to determine the extent to which control resources will be implemented to overcome biased associations. We present data from a number of recent behavioral and psychophysiological studies in support of this idea, as well as conceptual accounts that point toward a model of race bias regulation that depends upon processes identified as important for regulation of thought, affect and action more generally.

On the role of conflict and control in social cognition: event-related brain potential investigations

Numerous social-cognitive models posit that social behavior largely is driven by links between constructs in long-term memory that automatically become activated when relevant stimuli are encountered. Various response biases have been understood in terms of the influence of such "implicit" processes on behavior. This article reviews event-related potential (ERP) studies investigating the role played by cognitive control and conflict resolution processes in social-cognitive phenomena typically deemed automatic. Neurocognitive responses associated with response activation and conflict often are sensitive to the same stimulus manipulations that produce differential behavioral responses on social-cognitive tasks and that often are attributed to the role of automatic associations. Findings are discussed in the context of an overarching social cognitive neuroscience model in which physiological data are used to constrain social-cognitive theories.

Being on the Lookout for Validity

Recently, Sriram and Greenwald (2009) introduced a new IAT-like measure, the Brief Implicit Association Test (BIAT). Because the BIAT is a new development, empirical evidence for its validity is yet scarce. This comment focuses on two possible approaches to validation research on the BIAT: (1) a pragmatic correlational approach and (2) an experimental approach aiming at causal understanding of the BIAT task. We argue that both approaches provide valuable and mutually complementing evidence, but only experimental research can conclusively show that the to-be-measured constructs causally influence BIAT scores. Because such a causal analysis is at the core of the validity problem, research on the BIAT should reduce the asymmetry in favor of correlational validation that emerged in traditional IAT research.

Minimizing the influence of recoding in the Implicit Association Test: the Recoding-Free Implicit Association Test (IAT-RF)

Recoding processes can influence the Implicit Association Test (IAT; Greenwald, McGhee, & Schwartz, 1998) in a way that impedes an unequivocal interpretation of the resulting compatibility effects. We present a modified version of the IAT that aims to eliminate recoding, the IAT-RF (short for "IAT-recoding free"). In the IAT-RF, compatible and incompatible assignments of categories to responses switch randomly between trials within a single experimental block. Abandoning an extended sequence of consistent category-response mappings undermines recoding processes in the IAT-RF. Two experiments reveal that the IAT-RF is capable of assessing compatibility effects between the nominally defined categories of the task and effectively prevents recoding. By enforcing a processing of the stimuli in terms of their task-relevant category membership, the IAT-RF eliminates the confounding of compatibility effects with task switch costs and becomes immune against biased selections of stimuli.

The Brief Implicit Association Test

The Brief Implicit Association Test (BIAT) consists of two blocks of trials with the same four categories and stimulus-response mappings as the standard IAT, but with 1/3 the number of trials. Unlike the standard IAT, the BIAT focuses the subject on just two of each block’s four categories. Experiments 1 and 2 demonstrated that attitude BIATs had satisfactory validity when good (but not bad) was a focal category, and that identity IATs had satisfactory validity when self (but not other) was a focal category. Experiment 2 also showed that a good-focal attitude BIAT and a self-focal identity BIAT were psychometrically similar to standard IAT measures of the same constructs. Experiment 3 presented each of six BIATs twice, showing that procedural variables had no more than minor influences on the resulting implicit measures. Experiment 4 further demonstrated successful use of the BIAT to measure implicit stereotypes.