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CÍGLER, Hynek, Martin ŠMÍRA a 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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Základní údaje
Originální název Iowa Gambling Task: Comparison of the Classical Scoring and Cognitive Modeling Approach and its Convergent Validity with Other Clinical Tasks
Název anglicky Iowa Gambling Task: Comparison of the Classical Scoring and Cognitive Modeling Approach and its Convergent Validity with Other Clinical Tasks
Autoři CÍGLER, Hynek, Martin ŠMÍRA a Vojtěch VIKTORIN.
Vydání 14th European Conference on Psychological Assessment, 2017.
Další údaje
Originální jazyk čeština
Typ výsledku Prezentace na konferencích
Obor Psychologie
Stát vydavatele Česká republika
Utajení není předmětem státního či obchodního tajemství
WWW URL
Organizace Fakulta sociálních studií - Masarykova univerzita
Klíčová slova anglicky Iowa Gambling Task; Cognitive modeling
Návaznosti GA15-20970S, projekt VaV.
Změnil Změnil: RNDr. Daniel Jakubík, učo 139797. Změněno: 4. 9. 2020 07:34.
Anotace
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.
Anotace anglicky
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.
Zobrazeno: 29. 9. 2020 11:53