Title |
Probability expression for changeable and changeless uncertainties: an implicit test
|
---|---|
Published in |
Frontiers in Psychology, November 2014
|
DOI | 10.3389/fpsyg.2014.01313 |
Pubmed ID | |
Authors |
Yun Wang, Xue-Lei Du, Li-Lin Rao, Shu Li |
Abstract |
"Everything changes and nothing remains still."We designed three implicit studies to understand how people react or adapt to a rapidly changing world by testing whether verbal probability is better in expressing changeable uncertainty while numerical probability is better in expressing unchangeable uncertainty. We found that the "verbal-changeable" combination in implicit tasks was more compatible than the "numerical-changeable" combination. Furthermore, the "numerical-changeless" combination was more compatible than the "verbal-changeless" combination. Thus, a novel feature called "changeability" was proposed to describe the changeable nature of verbal probability. However, numerical probability is a better carrier of changeless uncertainty than verbal probability. These results extend the domain of probability predictions and enrich our general understanding of communication with verbal and numerical probabilities. Given that the world around us is constantly changing, this "changeability" feature may play a major role in preparing for uncertainty. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 17% |
Unknown | 5 | 83% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 83% |
Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 10% |
Unknown | 9 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 2 | 20% |
Student > Ph. D. Student | 2 | 20% |
Professor > Associate Professor | 2 | 20% |
Student > Master | 2 | 20% |
Professor | 1 | 10% |
Other | 0 | 0% |
Unknown | 1 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 7 | 70% |
Business, Management and Accounting | 1 | 10% |
Social Sciences | 1 | 10% |
Unknown | 1 | 10% |