The role of recoding in implicit social cognition: Investigating the scope and interpretation of the ReAL model for the implicit association test.
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ABSTRACT:
SUBMITTER: Calanchini J
PROVIDER: S-EPMC8057589 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:The Implicit Association Test (IAT) is a reaction time based categorization task that measures the differential associative strength between bipolar targets and evaluative attribute concepts as an approach to indexing implicit beliefs or biases. An open question exists as to what exactly the IAT measures, and here EEG (Electroencephalography) has been used to investigate the time course of ERPs (Event-related Potential) indices and implicated brain regions in the IAT. IAT-EEG research identifies a number of early (250-450 ms) negative ERPs indexing early-(pre-response) processing stages of the IAT. ERP activity in this time range is known to index processes related to cognitive control and semantic processing. A central focus of these efforts has been to use IAT-ERPs to delineate the implicit and explicit factors contributing to measured IAT effects. Increasing evidence indicates that cognitive control (and related top-down modulation of attention/perceptual processing) may be components in the effective measurement of IAT effects, as factors such as physical setting or task instruction can change an IAT measurement. In this study we further implicate the role of proactive cognitive control and top-down modulation of attention/perceptual processing in the IAT-EEG. We find statistically significant relationships between D-score (a reaction-time based measure of the IAT-effect) and early ERP-time windows, indicating where more rapid word categorizations driving the IAT effect are present, they are at least partly explainable by neural activity not significantly correlated with the IAT measurement itself. Using LORETA, we identify a number of brain regions driving these ERP-IAT relationships notably involving left-temporal, insular, cingulate, medial frontal and parietal cortex in time regions corresponding to the N2- and P3-related activity. The identified brain regions involved with reduced reaction times on congruent blocks coincide with those of previous studies.
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Project description:Assessing suicidal thoughts and behaviors is difficult because at-risk individuals often fail to provide honest or accurate accounts of their suicidal thoughts or intentions. Research has shown that the Death Implicit Association Test (D-IAT), a behavioral test that measures implicit (i.e., outside of conscious control) associations between oneself and death concepts, can differentiate among people with different suicidal histories, such as those with different severity or recency of suicidal behaviors. We report here on the development and evaluation of a shorter and simpler version of the D-IAT called the Death Brief Implicit Association Test (D-BIAT). We recruited large (ns > 1,500) samples of participants to complete the original D-IAT and shorter D-BIAT via a public web-based platform and evaluated different scoring approaches, assessed the reliability and validity of the D-BIAT and compared it with the D-IAT. We found that the D-BIAT was reliable, provided significant group differences with effect sizes on par with the D-IAT, as well as similarly sized classification metrics (i.e., receiver operator characteristics). Although the D-IAT was nonsignificantly better on most outcomes, the D-BIAT is 1-1[1/2] minutes shorter and provided larger effect sizes for distinguishing between past year and lifetime attempters. Thus, there is a trade-off between administration time and improved outcomes associated with increased data. The D-BIAT should be considered for use where time or participant burden needs to be minimized, such as in clinical settings. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
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Project description:BackgroundThe autobiographical Implicit Association Test (aIAT) is a novel application of the implicit association concept for detecting life events. It has been used to reveal concealed knowledge in clinical and forensic settings, including detecting drug use. In this study, we aimed to explore the functionality of the aIAT to identify drug use in real-world settings.MethodsThe study used mixed methodology with known groups of drug users and nonusers. Recreational cocaine users (n = 23) and non-users (n = 23) were recruited through ethnographic methodology and assessed using a bespoke brief aIAT for cocaine use. An identical aIAT test for heroin detection was also administered to a sub-sample of 10 cocaine users and 13 nonusers. The accuracy of the cocaine aIAT was measured through ROC analysis. Paradoxical aIAT results were explored by integrating craving, consumption measures and life-story interviews into the analysis.ResultsWhilst the two brief aIATs showed good concurrent validity for cocaine users by accurately detecting drug using status for 18 of the 23 users (78.3%), the test falsely reported 61% cocaine users in the non-user comparison group. The average D-scores were 0.257±0.246 for the cocaine users and 0.134±0.367 for the non-users, showing no discriminatory power (t(44) = 1.339, p = 0.187; AUC = 0.605, p = 0.223). Results were independent from craving and recent cocaine use. The comparison group's cocaine and heroin aIAT scores correlated significantly (r(13) = 0.776, p = 0.002) whilst an accurate absence of such relationship was evidenced in the cocaine using sample (r(10) = 0.061, p = 0.866). Triangulation with life-story interviews suggests that in the absence of an autobiographical event, this test may measure an alternative cognitive construct linked to the Self-concept.ConclusionThe aIAT is a variant of an attitude measure and can be better rationalized if propositional thinking is implied to explain outcomes. The Relational Frame and Social Knowledge Structure theories can perhaps provide a more plausible theoretical background. Further work is required to clarify which factors underlie this testing technique's functioning. Reappraisal is advised before further forensic use of the instrument to ensure that general associations not related to autobiographical memory do not confound results.
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Project description:This research assessed activation in neural substrates involved in implicit associative processes through functional magnetic resonance imaging of an alcohol-Implicit Association Test (IAT) focused on positive outcomes of alcohol use. Comparisons involved 17 heavy and 19 light drinkers, ranging in age from 18 to 22, during compatible and incompatible association task trials. Behaviorally, a significant IAT effect was found with heavy drinkers showing stronger positive implicit associations toward alcohol use than light drinkers. Imaging data revealed heavy drinkers showed greater activity during compatible trials relative to incompatible trials in the left putamen and insula while no significant difference in activity between conditions was found in the light drinkers. Light drinkers showed significantly more activity in the left orbital frontal cortex during both compatible and incompatible trials than heavy drinkers, and the dorsolateral prefrontal cortex was engaged more in both light and heavy drinkers during incompatible trials relative to compatible trials. Further, within-group analyses showed significant amygdala activity along with the putamen and insula among heavy drinkers during compatible trials relative to incompatible trials. These results are consistent with a dual process framework of appetitive behaviors proposing that (1) implicit associations underlying habit are mediated through neural circuitry dependent on the striatum, and (2) controlled behaviors are mediated through neural circuitry more dependent on the prefrontal cortex. This is the first study to evaluate the neural mechanisms elicited by an alcohol-IAT, providing an additional step toward increasing understanding of associative habit processes and their regulatory influence over addictive behaviors.
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Project description:Social cognition is an important outcome in schizophrenia research. Unfortunately, there has been a lack of consensus regarding which measures of social cognition best capture this domain of functioning. The Social Cognition Psychometric Evaluation (SCOPE) study was developed to address the need for a battery of measures that have sound psychometric properties and can be implemented in clinical trials for individuals with chronic schizophrenia. The current study expands upon the SCOPE study by examining the psychometric properties of the eight candidate measures administered to individuals early in the course of psychosis. Thirty-eight stable outpatients with first episode psychosis and thirty-nine healthy controls completed the battery at baseline and one-month follow-up assessments. The SCOPE battery was evaluated on a collection of psychometric properties, including: (1) Reliability - including test-retest and internal consistency, (2) Between group differences, (3) Utility as a repeated measure, (4) Relationship to social and occupational functioning, (5) Incremental validity - variance in functioning beyond neurocognition, and (6) Feasibility - including practicality of administration and tolerability. Social cognition accounted for substantially more variance in functional outcome than neurocognition. Only one measure, the Hinting task, displayed adequate psychometric properties to be recommended for use in clinical research with first episode psychosis. The remaining candidate measures would require modifications before implementation or cannot be recommended for use in clinical research with first episode psychosis.
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