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CÍGLER, Hynek, Martin ŠMÍRA and Vojtěch VIKTORIN. Iowa Gambling Task: Comparison of the Classical Scoring and Cognitive Modeling Approach and its Convergent Validity with Other Clinical Tasks. In 14th European Conference on Psychological Assessment. 2017.
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Original name Iowa Gambling Task: Comparison of the Classical Scoring and Cognitive Modeling Approach and its Convergent Validity with Other Clinical Tasks
Name (in English) Iowa Gambling Task: Comparison of the Classical Scoring and Cognitive Modeling Approach and its Convergent Validity with Other Clinical Tasks
Authors CÍGLER, Hynek, Martin ŠMÍRA and Vojtěch VIKTORIN.
Edition 14th European Conference on Psychological Assessment, 2017.
Other information
Original language Czech
Type of outcome Presentations at conferences
Field of Study 5.1 Psychology and cognitive sciences
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
WWW URL
Organization Fakulta sociálních studií - Repository
Keywords in English Iowa Gambling Task; Cognitive modeling
Links GA15-20970S, research and development project.
Changed by Changed by: RNDr. Daniel Jakubík, učo 139797. Changed: 4. 12. 2017 00:52.
Abstract
The aim of this study is to compare Bayesian cognitive modeling of the response style in the Iowa gambling task (IGT), specifically PLV-Delta model (Ahn et al., 2008), and the classical approaches to the IGT scoring in a non-clinical population. We used an exploratory design to analyze convergent validity between different types of the IGT scoring and other clinical tasks in a sample aged 18–30 years. Test battery included Iowa gambling task, SST (stop signal task), go/no-go task, N-back, and DDT (delay discounting task). All these tests were computer-administered. Sample size ranged between 100 and 200 for each pair-wise comparison. Results showed convergent validity between some of the parameters of the cognitive model and the classical IGT test scores; however, the cognitive model parameters show a better incremental validity compared to the traditional scoring techniques. We also estimated reliability of the IGT using several approaches. These results are discussed bearing in mind the exploratory nature of the study. Using point estimate of the parameters from the Bayesian model could limit results of this study. In addition, our reliability estimates are slightly biased due to non-normality of the distribution of all parameters. This study can provide us with a better understanding of the cognitive processes that underlie decision-making in the IGT in a non-clinical population. Moreover, we revealed some advantages of the Bayesian cognitive modeling approach over the classical the IGT scoring. These findings have the potential to improve applicability of the Iowa gambling task in clinical practice.
Abstract (in English)
The aim of this study is to compare Bayesian cognitive modeling of the response style in the Iowa gambling task (IGT), specifically PLV-Delta model (Ahn et al., 2008), and the classical approaches to the IGT scoring in a non-clinical population. We used an exploratory design to analyze convergent validity between different types of the IGT scoring and other clinical tasks in a sample aged 18–30 years. Test battery included Iowa gambling task, SST (stop signal task), go/no-go task, N-back, and DDT (delay discounting task). All these tests were computer-administered. Sample size ranged between 100 and 200 for each pair-wise comparison. Results showed convergent validity between some of the parameters of the cognitive model and the classical IGT test scores; however, the cognitive model parameters show a better incremental validity compared to the traditional scoring techniques. We also estimated reliability of the IGT using several approaches. These results are discussed bearing in mind the exploratory nature of the study. Using point estimate of the parameters from the Bayesian model could limit results of this study. In addition, our reliability estimates are slightly biased due to non-normality of the distribution of all parameters. This study can provide us with a better understanding of the cognitive processes that underlie decision-making in the IGT in a non-clinical population. Moreover, we revealed some advantages of the Bayesian cognitive modeling approach over the classical the IGT scoring. These findings have the potential to improve applicability of the Iowa gambling task in clinical practice.
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ECPA_v09.pdf Licence Creative Commons  File version 4. 12. 2017

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