development and validation of a computer-based decision-making task (cdmt) to measure decision-making

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 decisionmaking 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, selfresponsibility, 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.