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Positive psychology is the scientific study of conditions and processes that contribute to positive psychological states (e.g., contentment, joy), ...
The Pollyanna principle (also called Pollyannaism or positivity bias) is the tendency for people to remember pleasant items more accurately than unpleasant ones. [1] Research indicates that at the subconscious level, the mind tends to focus on the optimistic; while at the conscious level, it tends to focus on the negative.
In psychology, the positivity offset is a phenomenon where people tend to interpret neutral situations as mildly positive, and rate their lives as good, most of the time. The positivity offset stands in notable asymmetry to the negativity bias .
The positivity effect is the ability to constructively analyze a situation where the desired results are not achieved, but still obtain positive feedback that assists one's future progression.
The negativity bias, [1] also known as the negativity effect, is a cognitive bias that, even when positive or neutral things of equal intensity occur, things of a more negative nature (e.g. unpleasant thoughts, emotions, or social interactions; harmful/traumatic events) have a greater effect on one's psychological state and processes than neutral or positive things.
The critical positivity ratio (also known as the "Losada ratio" or the "Losada line" [not verified in body]) is a largely discredited concept in positive psychology positing an exact ratio of positive to negative emotions which distinguishes "flourishing" people from "languishing" people.
Approach-avoidance conflicts occur when there is one goal or event that has both positive and negative effects or characteristics that make the goal appealing and unappealing simultaneously. [3] [4] [5] For example, marriage is a momentous decision that has both positive and negative aspects. The positive aspects, or approach portion, of ...
The copy containers would then either have plain tap water or sugar water. Measurements of generalization gradients were separated by both distance and direction according to Shepard’s law. Cheng found that “generalization gradients in both series were fitted by exponential functions, supporting Shepard’s law”. [5]