Capturing doping attitudes by self-report declarations and implicit assessment: a methodology study

BACKGROUND: Understanding athletes' attitudes and behavioural intentions towards performance enhancement is critical to informing anti-doping intervention strategies. Capturing the complexity of these attitudes beyond verbal declarations requires indirect methods. This pilot study was aimed at developing and validating a method to assess implicit doping attitudes using an Implicit Associations Test (IAT) approach. METHODS: The conventional IAT evaluation task (categorising 'good' and 'bad' words) was combined with a novel 'doping' versus 'nutrition supplements' category pair to create a performance-enhancement related IAT protocol (PE-IAT). The difference between average response times to 'good-doping' and 'bad-doping' combinations represents an estimate of implicit attitude towards doping in relation to nutritional supplements. 111 sports and exercise science undergraduates completed the PE-IAT, the Performance Enhancement Attitude Scale (PEAS) and answered questions regarding their beliefs about doping. RESULTS: Longer response times were observed in the mixed category discrimination trials where categories 'good' and 'doping' shared the same response key (compared to 'bad-doping' combination on the same key) indicating a less favourable evaluation of doping substances. The PE-IAT measure did not correlate significantly with the declared doping attitudes (r = .181, p = .142), indicating a predictable partial dissociation. Action-oriented self-report expressed stronger associations with PE-IAT: participants who declared they would consider using doping showed significantly less implicit negativity towards banned substances (U = 109.00, p = .047). Similarly, those who reported more lenient explicit attitudes towards doping or expressly supported legalizing it, showed less implicit negativity towards doping in the sample, although neither observed differences reached statistical significance (t = 1.300, p = .198, and U = 231.00, p = .319, respectively). Known-group validation strategy yielded mixed results: while competitive sport participants scored significantly lower than non-competitive ones on the PEAS (t = -2.71, p = .008), the two groups did not differ on PE-IAT (t = -.093, p = .926). CONCLUSION: The results suggest a potential of the PE-IAT method to capture undeclared attitudes to doping and predict behaviour, which can support targeted anti-doping intervention and related research. The initial evidence of validity is promising but also indicates a need for improvement to the protocol and stimulus material

Implicit Environmental Attitudes: Critique and Technique to Promote Awareness

open access articleAttitudes toward the environment are understood in psychological science as the result of separate mental systems, one conscious and the other unconscious, and capable of affecting behavior outside of awareness. For example, the common incongruity between what people say about global sustainability and what they do about the environment has been explicated by the influence of implicit environmental attitudes. This study examined the operational adequacy of the commonly used Implicit Association Test (IAT) by directly asking participants to report their recognition of behavioral influences whilst performing an IAT. An analytic technique of awareness assessment was introduced to improve on traditional post-experimental questioning, by requiring a constrained report that provided introspective access to task-related knowledge in awareness. Results revealed participants were very aware of their IAT response latencies, they accurately recognized IAT features that produced those latencies, and the validity of this awareness predicted their test scores, challenging the claim to attitude effects of which individuals are unaware. Thus, the critical evaluation showed the IAT method to be inadequate as a measure of environmental attitudes that are implicit. Applications of the awareness assessment technique are discussed for evaluating tests of implicit cognition, and for promoting individual mindfulness of one’s own environmental attitude

Measurement Invariance of the Internet Addiction Test Among Hong Kong, Japanese, and Malaysian Adolescents

There has been increased research examining the psychometric properties on the Internet Addiction Test across different ages and populations. This population-based study examined the psychometric properties using Confirmatory Factory Analysis and measurement invariance using Item Response Theory (IRT) of the IAT in adolescents from three Asian countries. In the Asian Adolescent Risk Behavior Survey (AARBS), 2,535 secondary school students (55.91% girls) in Grade 7 to Grade 13 (Mean age = 15.61 years; SD=1.56) from Hong Kong (n=844), Japan (n=744), and Malaysia (n=947) completed a survey on their Internet use that incorporated the IAT scale. A nested hierarchy of hypotheses concerning IAT cross-country invariance was tested using multi-group confirmatory factor analysis. Replicating past finding in Hong Kong adolescents, the construct of IAT is best represented by a second-order three-factor structure in Malaysian and Japanese adolescents. Configural, metric, scalar, and partial strict factorial invariance was established across the three samples. No cross-country differences on Internet addiction were detected at latent mean level. This study provided empirical support to the IAT as a reliable and factorially stable instrument, and valid to be used across Asian adolescent populations

The Impact of Stroop Interference and the Simon Effect on Implicit Association Test Performance

The implicit association test (IAT) is a method used to examine associations individuals make between concepts and evaluations (Greenwald & Banaji, 1995). The typical finding with the IAT is that RTs are faster when the concepts and evaluations share the same response key. While the IAT has been used to examine a variety of associations, factors influencing these associations are still under consideration. For instance, Klauer et al. (2010) examined aspects of cognitive control in the IAT. They included measures related to switching mental sets, inhibition of responses, and working memory capacity. They found that switching between mental sets was related to IAT performance. In this experiment, participants completed a Simon task, Stroop task, and the flower-insect IAT. Participants showed typical Simon effect and Stroop interference. IAT results were consistent with Greenwald, McGhee, and Schwartz (1998). While covarying Simon performance had no impact on the IAT, covarying Stroop performance did reduce the size of associations found between flowers and insects across conditions. These results suggest that the ability to inhibit one response in favor of another contributes to IAT findings

Neural patterns of the implicit association test

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

A pictorial attitude IAT as a measure of implicit motives

We tested the hypothesis that a pictorial attitude variant of the Implicit Association Test (PA–IAT) is a valid measure of implicit motives. The PA–IAT aims to capture attitudes towards pictures that are related to implicit motives. In the first two studies, we showed that the pictorial attitude Implicit Association Test (IAT) correlated more highly with non–IAT measures of implicit motives than other IAT variants. In the third study, we established the validity of the PA–IAT experimentally and showed that the pictorial attitude IAT correlated with non–declarative behavioural measures only if implicit motives were aroused. Copyright © 2010 John Wiley &amp; Sons, Ltd. </jats:p

EXAMINING THE RELATIONSHIP BETWEEN GENETIC COUNSELORS’ IMPLICIT ATTITUDES TOWARD DISABILITY AND THEIR PRACTICE METHODS

Genetic counselors serve as a link between the medical community and the disability community as they are regularly the first exposure families have following a new diagnosis in a pregnancy, infant or child. This role requires genetic counselors to be responsible and compassionate when approaching conversations about disability. With a lack of research on how the specific attitudes of genetic counselors toward disability impact clinical practice, we aimed to understand these attitudes, what factors affect implicit attitudes toward disability, and how these attitudes affect counseling. Case scenarios involving disability were used to examine different counseling content preferences within a genetic counseling session including medical and diagnostic information, lifestyle and social implications, psychosocial issues. Attitudes were measured using the Disability Implicit Association Test (DA-IAT), and personal and professional experience with disability was assessed. Results from the study reveal that genetic counselors have a stronger bias toward ability compared to the previous participants of the DA-IAT. Results reassure that personal experience with individuals with disabilities does not significantly impact DA-IAT scores or preferred counseling methods. The uniform bias observed across specialties may point to an underlying characteristic of the genetic counseling field either due to shared exposure to disability, self-selection or another factor still undetermined, but even more likely, may point to an inability of the available tool to assess implicit bias toward and individual or group of individuals

Reasons to withhold intra-arterial thrombolysis in clinical practice

Background: In selected stroke centers intra-arterial thrombolysis (IAT) is used for the treatment of acute stroke patients presenting within 6hours of symptom onset. However, data about eligibility of acute stroke patients for IAT in clinical practice are very scarce. Methods: We collected prospectively data on indications advising for or against IAT of 230 consecutive stroke patients in a tertiary stroke center. Results: 76 patients (33.0%) presented within 3hours, 69 (30%) between 3 and 6hours of symptom onset and 85 (37%) later than 6hours. Arteriography was performed in 71 patients (31%) and IAT in 46 (20%). In 11 patients no or only peripheral branch occlusions were seen on arteriography and therefore IAT was not performed. In 9 patients the ICA was occluded and barred IAT and in five anatomical or technical difficulties made IAT impossible. 72 patients presenting within 6hours did not undergo arteriography and thrombolysis, mostly because of mild (n=44) or rapidly improving neurological deficits (n=13). Other reasons to withhold IAT were CT and/or clinical findings suggesting lacunar stroke due to small vessel occlusion (n=7), limiting comorbidty (n=7) and baseline international normalized ratio>1.7 (n=1). Conclusions: A third of the patients underwent diagnostic arteriography and one fifth received IAT. The most important reasons to withhold thrombolysis were presentation beyond the 6hours time window and mild or rapidly improving symptom

Using the implicit association test to assess risk propensity self-concept: analysis of its predictive validity on a risk-tak ing behaviour in a natural setting

The present work analyses the predictive validity of measures provided by several available self-report and indirect measurement instruments to assess risk propensity (RP) and proposes a measurement instrument using the Implicit Association Test: the IAT of Risk Propensity Self-Concept (IAT-RPSC), an adaptation of the prior IAT-RP of Dislich et al. Study 1 analysed the relationship between IAT-RPSC scores and several RP self-report measures. Participants’ risk-taking behaviour in a natural setting was also assessed, analyzing the predictive validity of the IAT-RPSC scores on risk-taking behaviour compared with the self-report measures. Study 2 analysed the predictive validity of the IAT-RPSC scores in comparison with other indirect measures. Results of these studies showed that the IAT-RPSC scores exhibited good reliability and were positively correlated to several self-report and indirect measures, providing evidence for convergent validity. Most importantly, the IAT-RPSC scores predicted risk-taking behaviour in a natural setting with real consequences above and beyond all other self-report and indirect measures analysed.This research has been funded by the Spanish Ministry of Science and Innovation, research grants PSI2008-02916 and PSI2011-2700

The impact of initial antibiotic treatment failure: Real-world insights in patients with complicated, health care-associated intra-abdominal infection

Purpose: The RECOMMEND study (NCT02364284; D4280R00005) assessed the clinical management patterns and treatment outcomes associated with initial antibiotic therapy (IAT; antibiotics administered ≤48 hours post-initiation of antibiotic therapy) for health care-associated infections across five countries. Patients and methods: Data were collected from a retrospective chart review of patients aged ≥18 years with health care-associated complicated intra-abdominal infection (cIAI). Potential risk factors for IAT failure were identified using logistic regression analyses. Results: Of 385 patients with complete IAT data, bacterial pathogens were identified in 270 (70.1%), including Gram-negative isolates in 221 (81.9%) and Gram-positive isolates in 92 (34.1%). Multidrug-resistant (MDR) pathogens were identified in 112 patients (41.5% of patients with a pathogen identified). IAT failure rate was 68.3% and in-hospital mortality rate was 40.8%. Multivariate regression analysis demonstrated three factors to be significantly associated with IAT failure: patients admitted/transferred to the intensive care unit during index hospitalization, isolation of an MDR pathogen and previous treatment with β-lactam antibiotics. Conclusion: We reveal the real-world insights into the high rates of IAT failure and mortality observed among patients with cIAI. These data highlight the challenges associated with choosing IAT, the impact of MDR pathogens on IAT outcomes and the importance of tailoring IAT selection to account for local epidemiology and patient history