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Obsessive compulsive features predict cautious decision strategies
Authors:Ceyla Erhan
Institution:Department of Psychology, Ko? University, Istanbul, Turkey
Abstract:Introduction: Obsessive compulsive disorder (OCD) is occasionally characterized by decision-making deficits. Compared to the isolated analysis of the choice and response times, characterizing decision outputs at the level of latent processes can be a more powerful approach in revealing differences, even in subclinical cases. We hypothesized that participants with higher obsessive compulsive (OC) features would set their decision thresholds higher and thus make more cautious decisions. Method: We used a perceptual two-alternative forced-choice (2AFC) task (dot motion discrimination) to test this hypothesis in a non-clinical sample (N?=?74). We fitted the data with the diffusion model and evaluated the optimality of decision outputs. We also conducted exploratory analyses to reveal which subscales best predicted the differences at the level of latent decision processes. Results: Higher OC total scores in Maudsley and Padua scales significantly predicted higher threshold settings (cautiousness). The follow-up exploratory analyses with subscale scores showed that checking and rumination tendencies predicted higher threshold settings whereas washing tendency predicted faster non-decision times. Conclusions: Our primary results showed that participants with higher degrees of OC features exhibit more cautious decision making. Our exploratory analyses also revealed distinctions based on different types of OC features in both controlled (cautiousness in decision making) and automatic (faster non-decision times) elements of the decision process.
Keywords:Decision making  Drift diffusion model  Obsessive-compulsive disorder  Speed-accuracy tradeoff
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