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Examples: One study [11] explicitly focused on cognitive bias as a potential contributor to a disaster-level event; this study examined the causes of the loss of several members of two expedition teams on Mount Everest on two consecutive days in 1996. This study concluded that several cognitive biases were 'in play' on the mountain, along with ...
The regression uses as independent variables not only the one or ones whose effects on the dependent variable are being studied, but also any potential confounding variables, thus avoiding omitted variable bias. "Confounding variables" in this context means other factors that not only influence the dependent variable (the outcome) but also ...
An example of a cognitive bias modification for interpretation (CBM–I) paradigm utilized in MindTrails, an online program developed by anxiety researchers at the University of Virginia. The program displays a cognitive task that disambiguates a scenario to be either positively or negatively valenced (correct responses highlighted in orange).
According to a meta-analysis of 17 implicit bias interventions, counterstereotype training is the most effective way to reduce implicit bias. [14] In the area of gender bias, techniques such as imagining powerful women, hearing their stories, and writing essays about them have been shown to reduce levels of implicit gender bias on the IAT. [15]
Selective exposure is a theory within the practice of psychology, often used in media and communication research, that historically refers to individuals' tendency to favor information which reinforces their pre-existing views while avoiding contradictory information.
In the examples listed above, a nuisance variable is a variable that is not the primary focus of the study but can affect the outcomes of the experiment. [3] They are considered potential sources of variability that, if not controlled or accounted for, may confound the interpretation between the independent and dependent variables .
The bias blind spot is the cognitive bias of recognizing the impact of biases on the judgment of others, while failing to see the impact of biases on one's own judgment. [1] The term was created by Emily Pronin, a social psychologist from Princeton University 's Department of Psychology , with colleagues Daniel Lin and Lee Ross .
Adaptive bias is the idea that the human brain has evolved to reason adaptively, rather than truthfully or even rationally, [clarification needed] and that cognitive bias may have evolved as a mechanism to reduce the overall cost of cognitive errors as opposed to merely reducing the number of cognitive errors, when faced with making a decision under conditions of uncertainty.