Assessing Affective and Deliberative Decision-Making: Adaptation of the Columbia Card Task to Brazilian Portuguese

Kluwe-Schiavon, Bruno; Sanvicente‐Vieira, Breno; Viola, Thiago Wendt; Veiga, Eduardo Carvalho de Arruda; Bortolotto, Vanessa; Grassi‐Oliveira, Rodrigo

doi:10.1017/sjp.2015.81

Cited by 9 publications

(7 citation statements)

References 16 publications

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“…Moreover, from Table 4 it is clear to see that the number of loss cards has the highest effect on the number of cards turned over, compared to the gain amount and loss amount. This result is in accordance with many other studies using the CCT (Kluwe-Schiavon et al, 2015;Holper & Murphy, 2014;Penolazzi et al, 2012). Looking at the risk neutral strategy based on the expected values (Table 5), it is clear that turning over zero cards is often most profitable.…”

Section: Discussionsupporting

confidence: 90%

A censored mixture model for modeling risk taking

Dijkstra¹,

Tiemeier²,

Figner³

et al. 2020

Preprint

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Risk behavior can have substantial consequences for health, well-being, and functioning. Previous studies have shown an association between real-world risk behavior and risk behavior on experimental tasks, such as the Columbia Card Task, but their modeling is challenging for several reasons. First, many of the experimental risk tasks may end prematurely leading to censored observations. Second, certain outcome values can be more attractive than others. Third, a priori unknown groups of participants can react differently to certain risk-levels. Here, we propose the Censored Mixture Model (CMM), which models risk taking while handling censoring, experimental conditions, and attractiveness to certain outcomes.

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Section: Discussionsupporting

confidence: 90%

A censored mixture model for modeling risk taking

Dijkstra¹,

Tiemeier²,

Figner³

et al. 2020

Preprint

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“…In the present study, we accommodated for censoring by running two sets of analyses: the main analyses, using data from all trials; and robustness analyses, using only data from trials in which participants had voluntarily stopped turning cards. A similar approach was employed by Kluwe‐Schiavon et al (), who reported no major changes in their final results. In the present study, one of eight rerun correlations substantially changed in size, demonstrating the effect that censoring can have on a study's findings.…”

Section: Discussionmentioning

confidence: 89%

Event‐related potentials in response to feedback following risk‐taking in the hot version of the Columbia Card Task

Groot

Strien

2019

Psychophysiology

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Given the importance of risk‐taking in individuals’ personal and professional life, several behavioral tasks for measuring the construct have been developed. Recently, a new task was introduced, the Columbia Card Task (CCT). This task measures participants’ risk levels and establishes how sensitive participants are to gains, losses, and probabilities when taking risk. So far, the CCT has been examined in behavioral studies and in combination with several (neuro)biological techniques. However, no electroencephalography (EEG) research has been done on the task. The present study fills this gap and helps to validate this relatively new experimental task. To this end, n = 126 students were asked to complete self‐reports (reward responsiveness, impulsiveness, and sensation‐seeking) and to perform the CCT (and other risk tasks) in an EEG setup. The results show that feedback appraisal after risky decision‐making in the CCT was accompanied by a feedback‐related negativity (FRN) and a P300, which were stronger in response to negative than positive feedback. Correlations between the FRN and P300 difference wave on the one hand and risk‐related self‐reports and behavior on the other were nonsignificant and small, but were mostly in the expected direction. This pattern did not change after excluding participants with psychiatric/neurological disorders and outliers. Excluding participants with reversed (positive > negative) difference waves strengthened FRN correlations. The impact such individuals can have on the data should be taken into account in future studies. Regarding the CCT in particular, future studies should also address its oddball structure and its masking of true values (censoring).

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“…In every round, participants decided how many cards the computer would randomly select and turn over, knowing that the round would end immediately if the computer selected one of the losing cards. The primary outcome of the CCT is the average number of cards chosen, which can be interpreted as a general proxy of risk-seeking behaviour, with a higher number of cards corresponding to greater risk-proneness [37,[51][52][53]. We also analysed the risk-seeking behaviour separately for each decision scenario in order to assess risk-taking in a more finegrained fashion.…”

Section: Risk-attitudementioning

confidence: 99%

Sensitivity to gains during risky decision-making differentiates chronic cocaine users from stimulant-naïve controls

Kluwe-Schiavon

Kexel

Manenti

et al. 2020

Behavioural Brain Research

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Background Chronic cocaine use has been consistently associated with decision-making impairments that contribute to the development and maintenance of drug-taking. However, the underlying cognitive processes of risk-seeking behaviours observed in chronic cocaine users (CU) have so far remained unclear. Here we therefore tested whether CU differ from stimulant-naïve controls in their sensitivity to gain, loss, and probability of loss information when making decisions under risk. Method A sample of 96 participants (56 CU and 40 controls) performed the no-feedback version of the Columbia Card Task, designed to assess risk-taking in relation to gain, loss, and probability of loss information. Additionally, cognitive performance and impulsivity were determined. Current and recent substance use was objectively assessed by toxicological urine and hair analysis. Results Compared to controls, CU showed increased risk-seeking in unfavourable decision scenarios in which the loss probability was high and the returns were low, and a tendency for increased risk aversion in more favourable decision scenarios. In comparison to controls, CU were less sensitive to gain, but similarly sensitive to loss and probability of loss information. Further analysis revealed that individual differences in sensitivity to loss and probability of loss information were related to cognitive performance and impulsivity. Conclusion Reduced sensitivity to gains in people with CU may contribute to their propensity for making risky decisions. While these alterations in gain sensitivity might directly relate to cocaine use per se, the individual psychopathological profile of CU might moderate sensitivity to loss information.

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Assessing Affective and Deliberative Decision-Making: Adaptation of the Columbia Card Task to Brazilian Portuguese

Cited by 9 publications

References 16 publications

A censored mixture model for modeling risk taking

A censored mixture model for modeling risk taking

Event‐related potentials in response to feedback following risk‐taking in the hot version of the Columbia Card Task

Sensitivity to gains during risky decision-making differentiates chronic cocaine users from stimulant-naïve controls

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