Socioeconomic status moderates the relationship between self-esteem and attitudes towards conspicuous consumption: An electrophysiological study

Research on the impact of self-esteem on conspicuous consumption has shown inconsistent results. This study addresses this variability by examining how socioeconomic status (SES) moderates the relationship between self-esteem and conspicuous consumption. We hypothesized that the relationship varies with SES, predicting a positive relationship at high SES levels and a negative relationship at low SES levels. Our findings confirm this hypothesis. Using a Go/NoGo association task (GNAT) combined with event-related potentials (ERP), we investigated the cognitive processing speeds for congruent and incongruent pairings. This method provided insights into the implicit attitudes towards conspicuous products and revealed the complex dynamics between self-esteem and SES in influencing consumer behavior tendencies. This research advances our understanding of the interactions between self-esteem and SES in conspicuous consumption from an implicit cognitive perspective. It also offers significant practical implications, guiding the development of consumer marketing strategies that can be tailored to different socioeconomic contexts.

The Effect of Induced Regulatory Focus on Frontal Cortical Activity

The motivation-direction model has served as the primary framework for understanding frontal cortical activity. However, research on the link between approach/avoidance motivation and left/right frontal cortical activity has produced inconsistent findings. Recent studies suggest that regulatory systems may offer a more accurate explanation than the motivational direction model. Despite being regulatory systems, the relationship between regulatory focus and frontal cortical activity has received limited attention. Only one experimental study has explored this connection through correlational analysis, yet it lacks causal evidence. The present study aimed to address this gap by manipulating regulatory focus and measuring frontal cortical activity in 36 college students. Our results revealed that induced promotion focus led to increased left frontal cortical activity, whereas induced prevention focus led to increased right frontal cortical activity. These findings enhance our physiological understanding of regulatory focus and offer a deeper explanation of how regulatory focus influences alterations in psychology and behavior.

Implicit and Explicit Age Stereotypes Assessed in the Same Contexts are Still Independent

OBJECTIVE

In a series of three studies (N = 187), we investigated the correlation between implicit and explicit age stereotypes, both of which were assessed in a context-dependent way.

METHODS

To assess implicit age stereotypes, we presented combinations of age category and specific context information as primes in a lexical decision task (LDT) with age stereotypic attributes as targets (e.g., "An old person is passing the crosswalk." - "slow"). To assess explicit age stereotypes, stereotypic traits were rated for their fit with person descriptions containing the same category and context information as the implicit measure.

RESULTS

Category effects for the priming and rating tasks emerged within relevant contexts, however, we found no correlations between these two indicators, despite the fact that the same contexts were provided for explicit and implicit assessment.

CONCLUSION

These findings indicate that implicit and explicit age stereotypes reflect independent belief systems that are activated under different operating conditions (automatic activation vs. controlled reasoning).

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.

The Four Deadly Sins of Implicit Attitude Research

In this article, we describe four theoretical and methodological problems that have impeded implicit attitude research and the popular understanding of its findings. The problems all revolve around assumptions made about the relationships among measures (indirect vs. versus direct), constructs (implicit vs. explicit attitudes), cognitive processes (e.g., associative vs. propositional), and features of processing (automatic vs. controlled). These assumptions have confused our understandings of exactly what we are measuring, the processes that produce implicit evaluations, the meaning of differences in implicit evaluations across people and contexts, the meaning of changes in implicit evaluations in response to intervention, and how implicit evaluations predict behavior. We describe formal modeling as one means to address these problems, and provide illustrative examples. Clarifying these issues has important implications for our understanding of who has particular implicit evaluations and why, when those evaluations are likely to be particularly problematic, how we might best try to change them, and what interventions are best suited to minimize the effects of implicit evaluations on behavior.

Research With Implicit Measures: Suggestions for a New Agenda of Sub-Personal Psychology

Research with implicit measures has been criticized for an unclear meaning of the term implicit and inadequate psychometric properties, as well as problems regarding internal validity and low predictive validity of implicit measures. To these criticisms, we add an overly restrictive theoretical focus and research agenda that is limited to the narrow dichotomy between associations versus propositional beliefs. In this article, we address the last problem by introducing a new perspective of a sub-personal psychology. This broad approach expands the conceptual horizon in order to make use of the full potential that experimental paradigms can offer for assessing, explaining, predicting, and modifying human functioning and behavior. Going beyond the analysis of associations and beliefs, we highlight the use of experimental paradigms to examine and modify motivational, environmental, and episodic memory factors that influence human action.

How Multinomial Processing Trees Have Advanced, and Can Continue to Advance, Research Using Implicit Measures

Implicit measures were developed to provide relatively pure estimates of attitudes and stereotypes, free from the influence of processes that constrain true and accurate reporting. However, implicit measures are not pure estimates of attitudes or stereotypes but, instead, reflect the joint contribution of multiple processes. The fact that responses on implicit measures reflect multiple cognitive processes complicates both their interpretation and application. In this article, I highlight contributions made to research using implicit measures by multinomial processing trees (MPTs), an analytic method that quantifies the joint contributions of multiple cognitive processes to observed responses. I provide examples of how MPTs have helped resolve mysteries that have arisen over the years, examples of findings that were initially taken at face value but were later reinterpreted by MPTs, and look to the future for ways in which MPTs seem poised to further advance research using implicit measures.

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.

The Propositional Evaluation Paradigm: Indirect Assessment of Personal Beliefs and Attitudes

Identification of propositions as the core of attitudes and beliefs (De Houwer, 2014) has resulted in the development of implicit measures targeting personal evaluations of complex sentences (e.g., the IRAP or the RRT). Whereas their utility is uncontested, these paradigms are subject to limitations inherent in their block-based design, such as allowing assessment of only a single belief at a time. We introduce the Propositional Evaluation Paradigm (PEP) for assessment of multiple propositional beliefs within a single experimental block. Two experiments provide first evidence for the PEP's validity. In Experiment 1, endorsement of racist beliefs measured with the PEP was related to criterion variables such as explicit racism assessed via questionnaire and indicators of behavioral tendencies. Experiment 2 indicates that the PEP's implicit racism scores may predict actual behavior over and above explicit, self-report measures. Finally, Experiment 3 tested the PEP's applicability in the domain of hiring discrimination. Whereas general PEP-based gender stereotypes were not related to hiring bias, results suggest a possible role of female stereotypes in hiring discrimination. In the context of these findings, we discuss both the potential and possible challenges in adopting the PEP to different beliefs. In sum, these initial findings suggest that the PEP may offer researchers a reliable and easily administrable option for the indirect assessment of propositional evaluations.

Trying to separate the wheat from the chaff: Construct- and faking-related variance on the Implicit Association Test (IAT)

Recent research has indicated that diffusion model analyses allow the user to decompose the traditional IAT effect (D measure) into three newly developed IAT effects: IATv, which has already been shown to be significantly related to the construct-related variance of the IAT effect, and IATa and IATt0, both of which have been assumed to provide an indication of faking. But research on the impacts of faking on IATv, IATa, and IATt0 is still warranted. By reanalyzing a data set containing both faked and unfaked IAT effects, we investigated whether diffusion model analyses could be used to separate construct-related variance from faking-related variance on the IAT. Our results revealed that this separation is not yet possible. As had already been shown for the traditional IAT effect, IATv was affected by faking. Interestingly, it was affected by faking only under more difficult faking conditions (i.e., when participants were asked to fake without being given recommended strategies for how to do so, and when they were requested to fake high scores). By contrast, IATa was affected by faking only in the comparably easy faking condition (i.e., when participants had been informed about possible faking strategies and were asked to fake low scores). IATt0 was not affected by faking at all. Our results show that although diffusion model analyses cannot yet provide a clear separation between construct- and faking-related variance, they allow us to peer into the black box of the faking process itself, and thus provide a useful tool for analyzing and interpreting IAT scores.

Evidence of negative implicit attitudes toward individuals with a tattoo near the face

Three studies examined if people express negative implicit attitudes toward individuals with a tattoo near the face. In Study 1, participants who completed an Implicit Association Test (IAT) expressed moderately negative implicit attitudes toward individuals with a tribal tattoo on one side of the neck. Study 2 replicated Study 1 when the tattoo was symmetrical, suggesting that negative affect, and not processing fluency, underlies the implicit negative evaluation of individuals with a tribal tattoo near the face. Study 3 showed dissociation between explicit and implicit attitudes toward individuals with a tribal tattoo near the face, and that the negative implicit evaluation was attenuated if the tattoo image was an objectively positive symbol. The implications for displaying a tattoo near the face are discussed.

A Meta-Analysis on the Correlation Between the Implicit Association Test and Explicit Self-Report Measures

Theoretically, low correlations between implicit and explicit measures can be due to (a) motivational biases in explicit self reports, (b) lack of introspective access to implicitly assessed representations, (c) factors influencing the retrieval of information from memory, (d) method-related characteristics of the two measures, or (e) complete independence of the underlying constructs. The present study addressed these questions from a meta-analytic perspective, investigating the correlation between the Implicit Association Test (IAT) and explicit self-report measures. Based on a sample of 126 studies, the mean effect size was .24, with approximately half of the variability across correlations attributable to moderator variables. Correlations systematically increased as a function of (a) increasing spontaneity of self-reports and (b) increasing conceptual correspondence between measures. These results suggest that implicit and explicit measures are generally related but that higher order inferences and lack of conceptual correspondence can reduce the influence of automatic associations on explicit self-reports.

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

Based on a task-set switching account of the Implicit Association Test (IAT), the authors predict a specific pattern of aftereffects as a consequence of working through IAT blocks. In Study 1, performance in an evaluative decision task, but not in a color-naming task, was decreased after working through the incompatible rather than compatible block of a flower-insect IAT. In Study 2, response latencies in an evaluative rating task, but not in a color-rating task, were analogously affected, whereas the ratings themselves were not a function of the compatibility of prior IAT blocks. The aftereffects demonstrate reactivity of the IAT; they bear on the mechanisms underlying the IAT and on compatibility-order effects.

Self-injurious implicit attitudes among adolescent suicide attempters versus those engaged in nonsuicidal self-injury

BACKGROUND

Suicide is among the most important mental health issues affecting adolescents today despite much research on its detection and prevention. Beyond suicide attempts (SAs), clinicians are increasingly confronted with another, potentially related problem: non-suicidal self-injury (NSSI)-defined as the deliberate destruction of body tissue without intent to die. NSSI may increase risk for making an SA by sevenfold, but many studies examining this link have involved youths engaging in both NSSI and SAs. Thus, there is a need to compare homogeneous groups of adolescents engaged in NSSI-only or SA-only, but not both, to advance what is known about each form of self-harm. The self-injurious implicit association task (SI-IAT) is a particularly important computerized behavioral task to study such adolescents because the SI-IAT provides objective behavioral data about problems for which people may lack insight or be motivated to conceal, such as SAs and NSSI.

METHODS

We evaluated implicit associations with cutting and death/suicide using the computerized SI-IAT in three mutually exclusive groups: (1) adolescents who made an SA but had never engaged in NSSI (n = 47); (2) adolescents who engaged in NSSI but had never made an SA (n = 46); and (3) typically developing control (TDC) adolescents without history of psychiatric problems (n = 43).

RESULTS

Nonsuicidal self-injury participants had stronger identification with cutting versus no cutting than either SA or TDC participants. Contrary to our hypothesis, NSSI participants had stronger identification with suicide/death versus life than either SA or TDC participants.

CONCLUSIONS

Strong implicit attitudes towards suicide/death among adolescents with NSSI without a prior SA suggest that clinicians should not dismiss NSSI as not serious. Further work is required to elucidate the mechanism by which youths engaged in NSSI acquire these stronger identifications and make a first-time SA to develop novel treatment and prevention strategies blocking this transformation, ultimately reducing youth suicide.

Using the EZ-Diffusion Model to Score a Single-Category Implicit Association Test of Physical Activity

OBJECTIVE

The Single-Category Implicit Association Test (SC-IAT) has been used as a method for assessing automatic evaluations of physical activity, but measurement artifact or consciously-held attitudes could be confounding the outcome scores of these measures. The objective of these two studies was to address these measurement concerns by testing the validity of a novel SC-IAT scoring technique.

DESIGN

Study 1 was a cross-sectional study, and study 2 was a prospective study.

METHOD

In study 1, undergraduate students (N = 104) completed SC-IATs for physical activity, flowers, and sedentary behavior. In study 2, undergraduate students (N = 91) completed a SC-IAT for physical activity, self-reported affective and instrumental attitudes toward physical activity, physical activity intentions, and wore an accelerometer for two weeks. The EZ-diffusion model was used to decompose the SC-IAT into three process component scores including the information processing efficiency score.

RESULTS

In study 1, a series of structural equation model comparisons revealed that the information processing score did not share variability across distinct SC-IATs, suggesting it does not represent systematic measurement artifact. In study 2, the information processing efficiency score was shown to be unrelated to self-reported affective and instrumental attitudes toward physical activity, and positively related to physical activity behavior, above and beyond the traditional D-score of the SC-IAT.

CONCLUSIONS

The information processing efficiency score is a valid measure of automatic evaluations of physical activity.

On the psychometric properties of the aggressiveness-IAT for children and adolescents

In research on aggression, implicit association tests (IATs) have been constructed to elucidate automatic processes involved in aggressiveness. Despite an increasing number of applications of the "Aggressiveness-IAT" in basic and applied research, the psychometric properties of this method for measuring an automatic aggressive self-concept have not been comprehensively investigated. Although the Aggressiveness-IAT has been used both as a cross-situationally consistent trait measure and as a measure to indicate situational changes, prior studies have not tested to what extent it reliably captures a stable trait vs. an occasion-specific aggressive self-concept. The present research scrutinizes the psychometric properties of the Aggressiveness-IAT by addressing two issues. First, we tested the reliability, consistency, and occasion specificity of the Aggressiveness-IAT in a longitudinal panel study with four waves and 574 Austrian school children/adolescents by applying latent-state trait (LST) theory. Second, we validated latent trait scores of the IAT vis-à-vis other measures either clearly related to aggression or not. Results demonstrate that 20-30% of the variance in children's and adolescents' IAT scores is situation-unspecific (i.e., "stable"), whereas 36-50% are situation-specific. Regarding its construct validity, the Aggressiveness-IAT is correlated with explicit measures of aggression and related constructs, but it is not associated with discriminant variables (e.g., school achievement). Implications for using the Aggressiveness-IAT are discussed in the light of these findings. Aggr. Behav. 41:84-95 2015. © 2014 Wiley Periodicals, Inc.

Implications of the Implicit Association Test D-Transformation for Psychological Assessment

Psychometricians strive to eliminate random error from their psychological inventories. When random error affecting tests is diminished, tests more accurately characterize people on the psychological dimension of interest. We document an unusual property of the scoring algorithm for a measure used to assess a wide range of psychological states. The “D-score” algorithm for coding the Implicit Association Test (IAT) requires the presence of random noise in order to obtain variability. Without consequential degrees of random noise, all individuals receive extreme scores. We present results from an algebraic proof, a computer simulation, and an online survey of implicit racial attitudes to show how trial error can bias IAT assessments. We argue as a result that the D-score algorithm should not be used for formal assessment purposes, and we offer an alternative to this approach based on multiple regression. Our critique focuses primarily on the IAT designed to measure unconscious racial attitudes, but it applies to any IAT developed to provide psychological assessments within clinical, organizational, and developmental branches of psychology—and in any other field where the IAT might be used.

Implicit self-esteem decreases in adolescence: a cross-sectional study

Implicit self-esteem has remained an active research topic in both the areas of implicit social cognition and self-esteem in recent decades. The purpose of this study is to explore the development of implicit self-esteem in adolescents. A total of 599 adolescents from junior and senior high schools in East China participated in the study. They ranged in age from 11 to 18 years with a mean age of 14.10 (SD = 2.16). The degree of implicit self-esteem was assessed using the Implicit Association Test (IAT) with the improved D score as the index. Participants also completed the Rosenberg Self-Esteem Scale (α = 0.77). For all surveyed ages, implicit self-esteem was positively biased, all ts>8.59, all ps<0.001. The simple correlation between implicit self-esteem and age was significant, r = −.25, p = 1.0×10⁻¹⁰. A regression with implicit self-esteem as the criterion variable, and age, gender, and age × gender interaction as predictors further revealed the significant negative linear relationship between age and implicit self-esteem, β = −0.19, t = −3.20, p = 0.001. However, explicit self-esteem manifested a reverse “U” shape throughout adolescence. Implicit self-esteem in adolescence manifests a declining trend with increasing age, suggesting that it is sensitive to developmental or age-related changes. This finding enriches our understanding of the development of implicit social cognition.

Controlled versus automatic processes: which is dominant to safety? The moderating effect of inhibitory control

This study explores the precursors of employees' safety behaviors based on a dual-process model, which suggests that human behaviors are determined by both controlled and automatic cognitive processes. Employees' responses to a self-reported survey on safety attitudes capture their controlled cognitive process, while the automatic association concerning safety measured by an Implicit Association Test (IAT) reflects employees' automatic cognitive processes about safety. In addition, this study investigates the moderating effects of inhibition on the relationship between self-reported safety attitude and safety behavior, and that between automatic associations towards safety and safety behavior. The results suggest significant main effects of self-reported safety attitude and automatic association on safety behaviors. Further, the interaction between self-reported safety attitude and inhibition and that between automatic association and inhibition each predict unique variances in safety behavior. Specifically, the safety behaviors of employees with lower level of inhibitory control are influenced more by automatic association, whereas those of employees with higher level of inhibitory control are guided more by self-reported safety attitudes. These results suggest that safety behavior is the joint outcome of both controlled and automatic cognitive processes, and the relative importance of these cognitive processes depends on employees' individual differences in inhibitory control. The implications of these findings for theoretical and practical issues are discussed at the end.

Affective compatibility between stimuli and response goals: a primer for a new implicit measure of attitudes

We examined whether a voluntary response becomes associated with the (affective) meaning of intended response effects. Four experiments revealed that coupling a keypress with positive or negative consequences produces affective compatibility effects when the keypress has to be executed in response to positively or negatively evaluated stimulus categories. In Experiment 1, positive words were evaluated faster with a keypress that turned the words ON (versus OFF), whereas negative words were evaluated faster with a keypress that turned the words OFF (versus ON). Experiment 2 showed that this compatibility effect is reversed if an aversive tone is turned ON and OFF with keypresses. Experiment 3 revealed that keypresses acquire an affective meaning even when the association between the responses and their effects is variable and intentionally reconfigured before each trial. Experiment 4 used affective response effects to assess implicit in-group favoritism, showing that the measure is sensitive to the valence of categories and not to the valence of exemplars. Results support the hypothesis that behavioral reactions become associated with the affective meaning of the intended response goal, which has important implications for the understanding and construction of implicit attitude measures.

Measuring automatic associations: validation of algorithms for the Implicit Association Test (IAT) in a laboratory setting

BACKGROUND AND OBJECTIVES

In their paper, "Understanding and using the Implicit Association Test: I. An improved scoring algorithm", Greenwald, Nosek, and Banaji (2003) investigated different ways to calculate the IAT-effect. However, up to now, it remained unclear whether these findings - based on internet data - also generalize to laboratory settings. Therefore, the main goal of the present study was to cross-validate scoring algorithms for the IAT in a laboratory setting, specifically in the domain of psychopathology.

METHODS

Four known IAT algorithms and seven alternative IAT algorithms were evaluated on several performance criteria in the large-scale laboratory sample of the Netherlands Study of Depression and Anxiety (N = 2981) in which two IATs were included to obtain measurements of automatic self-anxious and automatic self-depressed associations.

RESULTS AND CONCLUSIONS

Results clearly demonstrated that the D(2SD)-measure and the D(600)-measure as well as an alternative algorithm based on the correct trials only (D(noEP)-measure) are suitable to be used in a laboratory setting for IATs with a fixed order of category combinations. It remains important to further replicate these findings, especially in studies that include outcome measures of more spontaneous kinds of behaviors.

Implicit association between authentic pride and prestige compared to hubristic pride and dominance

Tracy and Robins proposed that pride has authentic and hubristic facets. Cheng, Tracy, and Henrich reported these two facets were based on prestige and dominance, respectively. Nine experiments were conducted in the current study to examine the implicit associations between words related to authentic and hubristic pride and those related to prestige and dominance. Implicit language association between authentic pride and high prestige status was strong, but that between hubristic pride and high dominance status was weak, suggesting that the authentic pride words might automatically convey a strong signal of high prestige status, whereas hubristic pride words might convey a weak signal of high dominance status.

Implicit Race/Ethnic Prejudice in Mexican Americans

Implicit race/ethnic prejudice was assessed using Spanish- and English-language versions of an Implicit Association Test that used Hispanic/Anglo first names and pleasant/unpleasant words as stimuli. This test was administered to a consecutive sample of Mexican American adults residing in the Rio Grande Valley region of Texas of whom about two-thirds chose to be tested in English and one-third preferred Spanish. Participants were mostly female (73%) with a mean age of 32 years and mean education of 13 years. Among 83 participants, 43% demonstrated in-group implicit prejudice while 26% showed out-group implicit prejudice toward Anglos. There was a significant negative correlation between family values (familism and filial piety) and implicit race/ethnic prejudice scores but no significant association was found between implicit race/ethnic prejudice scores and acculturation or skin tone. Results contribute to the ongoing controversy regarding the validity of implicit race/ethnic prejudice, supporting the concept that societal not individual prejudices are being measured.

Using behavior-analytic implicit tests to assess sexual interests among normal and sex-offender populations

BACKGROUND

The development of implicit tests for measuring biases and behavioral predispositions is a recent development within psychology. While such tests are usually researched within a social-cognitive paradigm, behavioral researchers have also begun to view these tests as potential tests of conditioning histories, including in the sexual domain.

OBJECTIVE

The objective of this paper is to illustrate the utility of a behavioral approach to implicit testing and means by which implicit tests can be built to the standards of behavioral psychologists.

DESIGN

Research findings illustrating the short history of implicit testing within the experimental analysis of behavior are reviewed. Relevant parallel and overlapping research findings from the field of social cognition and on the Implicit Association Test are also outlined.

RESULTS

New preliminary data obtained with both normal and sex offender populations are described in order to illustrate how behavior-analytically conceived implicit tests may have potential as investigative tools for assessing histories of sexual arousal conditioning and derived stimulus associations.

CONCLUSION

It is concluded that popular implicit tests are likely sensitive to conditioned and derived stimulus associations in the history of the test-taker rather than 'unconscious cognitions', per se.

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.

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.

The Multiple Disability Implicit Association Test

The authors report the psychometric properties of the Multiple Disability Implicit Association Test (MDIAT) using the updated implementation procedure and scoring algorithm provided by Greenwald and colleagues. Undergraduate students ( N = 249) completed the four disability condition IATs composing the MDIAT in addition to several self-report scales assessing constructs of interest (e.g., explicit attitude toward persons with disabilities, socially desirable responding, cognitive ability). Consistent with previous research, MDIAT effect scores indicated implicit preference for persons without a disability relative to persons with a disability for four disability conditions and a composite score. MDIAT scores were not related to socially desirable responding or cognitive ability. However, “practice” effects previously found under the conventional scoring algorithm were replicated with the improved scoring algorithm. Finally, scores on the MDIAT were not related to an explicit measure of attitude, the Interaction with Disabled Persons Scale. Although the modifications and new scoring algorithm attenuated some problems found in the previous administrations of the MDIAT (e.g., confounds from socially desirable responding), the practice effect persisted. Until more is known about the underlying processes responsible for the decline in IAT effect scores across administrations, those using the MDIAT should interpret only the composite effect score.

The many-facet Rasch model in the analysis of the go/no-go association task

This article provides a many-facet Rasch measurement (MFRM) analysis of go/no-go association task (GNAT)-based measures of implicit attitudes toward sweet and salty food. We describe the statistical model and the strategy we adopted to score the GNAT, and we emphasize that, when analyzing implicit measures, MFRM indexes have to be interpreted in a peculiar way. In comparison with traditional scoring algorithms, an MFRM analysis of implicit measures provides some additional information and suffers from fewer limitations and assumptions. MFRM might help to overcome some limitations of current implicit measures, since it directly addresses some known issues and potential confounds, such as those related to a rational zero point, to the arbitrariness of the metric, and to participants' task-set switching ability.

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.

Prejudiced or Just Smart?

Implicit Association Tests (IATs) are well-known measures of implicit cognition, particularly attitudes. Previous studies reported that IATs are affected by method-specific variance: IAT effects of more intelligent people may appear smaller due to their reduced task-switch costs. In contrast, based on a theoretical framework that assumes IAT effects to depend on successful recoding of the congruent IAT task, larger IAT effects are expected for more intelligent people. We tested the hypothesis that intelligence can bias IAT effects with different IATs. General processing speed was also assessed. Two studies indicated faster and more intelligent participants to have larger IAT effects in some, but not all, IATs.

It’s Brief But Is It Better? An Evaluation of the Brief Implicit Association Test

Sriram and Greenwald (2009) introduced a new variant of the Implicit Association Test, which they termed the Brief Implicit Association Test (BIAT). The BIAT differs from a standard IAT by using less trials and by instructing participants to focus on only two of the four categories in each block. We argue that the focus manipulation of the BIAT does not suffice to fully control for focusing and recoding processes in the task. Compatibility effects in the BIAT are therefore still subject to influences that are unrelated to the conceptual relation between the target and attribute categories of the task (e.g., salience asymmetries and stimulus-based effects). Highlighting these nonassociative influences, findings with the BIAT revealed strong asymmetries in compatibility effects, reliability, and convergent validity, depending on which of the two attribute categories was selected as a focal category in the BIAT. To eliminate these problems, we recommend the use of other, recently developed variants of the IAT that prevent recoding effects by eliminating the dual-block structure of the task.

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.

Avoiding stimulus confounds in Implicit Association Tests by using the concepts as stimuli

Implicit Association Tests (IATs) are supposed to measure associations between concepts. In order to achieve that aim, participants are required to assign individual stimuli to those concepts under time pressure in two different tasks. Previous research has shown that not only the associations of the concepts with each other, but also the stimuli's cross-category associations influence the observed reaction time difference between these tasks (i.e. the IAT effect). Little is known about adequate stimulus selection. In this article, we introduce a variant of the IAT, the Concept Association Task (CAT) in which the concepts themselves or synonyms of them are used as stimuli. Three experiments on Germans' attitudes towards foreigners yielded evidence for the convergent validity of the CAT: (1) it correlated well with other IAT versions; (2) it correlated higher with spontaneous attitude-related judgements than other IAT versions; and (3) it correlated with response-window priming, another implicit measure based on reaction times. Furthermore, we showed that the CAT yielded reasonable findings when other IAT versions appear to yield distorted ones.

Minimizing Method-Specific Variance in the IAT

The present paper introduces a new variant of the Implicit Association Test (IAT; Greenwald, McGhee, & Schwartz, 1998 ) called the Single Block IAT (SB-IAT). By eliminating the IAT’s block structure, the SB-IAT is argued to solve the structural problem of recoding in the IAT and accordingly, its contamination by method-specific variance. In Study 1, a flower-insect SB-IAT, a task-switching ability SB-IAT, and a geometry SB-IAT showed reduced, but still significant effects. Zero correlations between the three SB-IATs indicated a substantially reduced amount of method-specific variance. Study 2 examined the SB-IAT’s psychometric properties. A political attitude SB-IAT showed acceptable reliability, discriminated between liberal and conservative voters, and correlated with the corresponding attitude rating in the same magnitude as the standard IAT. Results indicate that the SB-IAT minimizes method-specific variance while retaining the IAT’s satisfying psychometric properties. The discussion focuses on potentials and constraints of this newly developed measure.

Does Substance Use Affect Reliabilities of the Implicit Association Test?

The authors examined whether use of alcohol or marijuana affected reliability of the Implicit Association Test (IAT; A. G. Greenwald, D. E. McGhee, & J. L. K. Schwartz, 1998). Consistent with research indicating the possibility that marijuana use depletes cognitive resources, the authors found worse reliabilities for participants who recently used marijuana than for those who had not. Recent alcohol users and nonusers demonstrated similar IAT reliability. Subsequent analyses indicated that reliability differences between marijuana users and nonusers were most pronounced when participants began with incongruous tasks and then switched to congruous tasks. Results were consistent with work on the residual costs of task switching that indicates that effortful tasks promote interference with tasks that follow. The authors discussed results in terms of IAT scoring procedures and the prevalence of use of alcohol and marijuana on university campuses.

Associative and propositional processes in evaluation: An integrative review of implicit and explicit attitude change

A central theme in recent research on attitudes is the distinction between deliberate, "explicit" attitudes and automatic, "implicit" attitudes. The present article provides an integrative review of the available evidence on implicit and explicit attitude change that is guided by a distinction between associative and propositional processes. Whereas associative processes are characterized by mere activation independent of subjective truth or falsity, propositional reasoning is concerned with the validation of evaluations and beliefs. The proposed associative-propositional evaluation (APE) model makes specific assumptions about the mutual interplay of the 2 processes, implying several mechanisms that lead to symmetric or asymmetric changes in implicit and explicit attitudes. The model integrates a broad range of empirical evidence and implies several new predictions for implicit and explicit attitude change.

Juicy fruit and creepy crawlies: an electrophysiological study of the implicit Go/NoGo association task

The Go/NoGo association task (GNAT) has been used in behavioral studies to measure the strength of association between different category groups and two poles of an evaluative dimension. However, reaction time data do not provide information about the neural time course of such associative information. We investigated event-related brain potentials (ERPs) elicited when participants were required to respond (Go) or withhold a response (NoGo) according to task instructions. Task instructions paired words from one of two taxonomic categories (fruit/bugs) with either pole of an evaluative dimension (good/bad). Within a given run, Go responses were assigned to one of the categories and one evaluative dimension. ERPs showed an increased negativity over frontal sites to NoGo as compared to Go responses. Moreover, NoGo minus Go difference waves showed that the N200 effect was delayed in trials within incongruent blocks (e.g., "Press if a bug word or a good word") as compared to trials within congruent blocks (e.g., "Press if a bug word or a bad word"). These results suggest that such associative attitude information is available at a very early stage of processing, less than 250 ms after seeing a fruit or a bug word. This finding is further discussed with respect to alternative explanations of the behavioral effect.