Sentence examples for bias decision making from inspiring English sources
This may bias decision making in social situations away from other-oriented (e.g., empathy for a child in need) to self-oriented (doing what relevant others expect, out of fear for negative reactions) concerns and may hinder empathic concern, leading to lower levels of prosocial behavior (Kanat-Maymon & Assor, 2010; Koenig, Cicchetti, & Rogosh, 2004).
Presenting participation as an opportunity (both opt-in and opt-out) appear to bias decision making and affects uptake.
But museums should come with labels too, given that their collections, which are often treated as objective and universally approved, are the results of highly biased decision making.
It has been demonstrated that sadness plays an important role in biasing decision making [ 19, 23, 24], while anhedonia is related to decreased reward sensitivity, which appears to underlie a failure to maximize potential monetary earnings [ 72].
This suggests that positive and negative relevant social information can bias decisions made to the same pieces of evidence during interpersonal interactions, but that this mainly takes place when the uncertainty associated with the choices is high.
The present experiments tested whether positive and negative linguistic descriptions of alleged partners in a modified Ultimatum Game biased decisions made to the same set of offers, and whether the contextual uncertainty of the game modulated this biasing effect.
The purpose of the study was to determine if treatment option presentation bias affects decision making by patients when they have failed endodontic therapy.
The relevance of projection bias in decision making processes has been widely studied, but not specifically in experimental auctions.
Coaching can help this re-setting, increase one's self-awareness, and limit the impact of the bias on decision making.
AHP helps capture both subjective and objective evaluation measures and provides a useful mechanism for checking the consistency of the evaluation measures and alternatives suggested by the team thus reducing bias in decision making.
