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A learned optimism test (developed by Seligman) is used to determine an individual's base level of optimism. Being in the more pessimistic categories means that learning optimism has a chance of preventing depression, helping the person achieve more, and improve physical health.
An optimist and a pessimist, Vladimir Makovsky, 1893. Researchers operationalize the term "optimism" differently depending on their research. As with any trait characteristic, there are several ways to evaluate optimism, such as the Life Orientation Test (LOT), an eight-item scale developed in 1985 by Michael Scheier and Charles Carver.
Whereas locus of control cuts across both positive and negative outcomes, authors in the attributional style field have distinguished between a Pessimistic Explanatory Style, in which failures are attributed to internal, stable, and global factors and successes to external, unstable, and specific causes, and an Optimistic Explanatory Style, in ...
How can I become more optimistic? Optimism is both a skill and a mindset that can be learned and practiced. Similar to learning a new language, cultivating optimism can take a little while, but ...
A new study from Michigan State University says that there's a physical, biological difference in the brains of optimists and pessimists. The study took 71 female participants and pre-screened ...
Defined by Luthans and Carolyn M. Youssef, PsyCap is "an individual's positive psychological state of development and is characterized by: (1) having confidence (self-efficacy) to take on and put in the necessary effort to succeed at challenging tasks; (2) making a positive attribution (optimism) about succeeding now and in the future; (3 ...
Being overly pessimistic or optimistic can be a bad thing. In this segment of The Motley Fool's financials-focused show, Where the Money Is, analysts Blake Bos and David Hanson look at the ...
E is a weighted average which takes into account both the most optimistic and most pessimistic estimates provided. SD measures the variability or uncertainty in the estimate. SD measures the variability or uncertainty in the estimate.