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Showing posts with the label contingency judgments

Are People with Depression more Realistic?

I’m Neil Garrett , a PhD student at the Affective Brain Lab, University College London. I investigate biases in human decision making using a combination of approaches from psychology, economics and neuroscience. The term “depressive realism” was born out of a study conducted by the psychologists Alloy and Abramson in 1979. In this study they examined how people judged contingency between their actions (pressing a button, in this instance) and outcomes that subsequently materialized (a light flickering on). The crucial aspect was that there was often little or no contingency between actions and outcome; a light would flicker on sporadically and independently of any button pressing by the participant. Their results revealed however that whilst depressed patients were wise to this fact, non-depressed individuals displayed a tendency to overestimate how instrumental they were in causing the light to illuminate. Hence depressed individuals were seemingly more “realistic” than their ...

Good Grief!

In this post PhD student Magdalena Antrobus (pictured above) summarises her recent research for Project PERFECT concerning the phenomenon known in the empirical literature as ‘depressive realism’. Depressive realism is the thesis that people with depression make more realistic inferences than ‘healthy’ individuals (Alloy and Abramson 1988).  The term refers to the phenomenon discovered in 1979 in a series of experiments designed around assessing the judgement of contingency tasks (Alloy and Abramson 1979) . The assessments of control made by participants with symptoms of depression were more accurate than those made by ‘healthy’ individuals. The difference between the two groups was statistically significant, making the results conclusive. People with depressive symptoms judged their control over uncontrollable events correctly, whilst the judgements made by individuals without depressive symptoms have been shown to exhibit a positive cognitive bias. Could people who ...