(2018) Development and Validation of a Computer-based Decision-Making Task (CDMT) to Measure Decision-Making. Iranian Journal of Psychiatry and Behavioral Sciences. p. 8. ISSN 1735-8639
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Development and validation of a computer-based decision-making task (CDMT) to measure decision-making.pdf Download (122kB) |
Abstract
Background: Decision-making and its processes are the most important and most advanced levels of human cognitive abilities. Objectives: This study aimed to develop and validate a task-based decision-making tool. Methods: After constructing the computer-based decision-making task, 232 individuals with high and low impulse disorders were selected using cluster analysis based on the scores of impulsivity and sensation seeking. In the next step, the task-based decision-making tool was performed individually on the participants. In order to determine the psychometric properties of the task-based decision-making tool, the validity of this tool was investigated by comparing the groups with high and low impulse disorders in the dimensions of decision-making, and criterion validity was investigated with impulsivity and sensation seeking scale, self-responsibility, and decision-making styles. Results: The results of the comparison of individuals with impulse disorder represented the optimal discriminant validity of the task-based decision-making tool. The criterion validity with other measures indicated the good convergence and divergence validity of the tool. Conclusions: Overall, the findings suggested the task-based decision-making tool had good psychometric properties to be used in studies of assessing the overall decision-making.
Item Type: | Article |
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Keywords: | Decision Making Impulsive Behavior Psychometrics obsessive-compulsive disorder ventromedial prefrontal cortex orbitofrontal cortex future consequences executive functions risk-taking damage deficits activation attention Psychiatry |
Divisions: | |
Page Range: | p. 8 |
Journal or Publication Title: | Iranian Journal of Psychiatry and Behavioral Sciences |
Journal Index: | ISI |
Volume: | 12 |
Number: | 3 |
Identification Number: | https://doi.org/10.5812/ijpbs.12527 |
ISSN: | 1735-8639 |
Depositing User: | مهندس مهدی شریفی |
URI: | http://eprints.bmsu.ac.ir/id/eprint/3643 |
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