## Abstract The reported experiment took place in a professional forecasting organization accustomed to giving verbal probability assessments (βlikelyβ, βprobableβ, etc.). It attempts to highlight the communication problems caused by verbal probability expressions and to offer possible solutions th
Verbal probabilities: a question of frame?
β Scribed by Karl Halvor Teigen; Wibecke Brun
- Publisher
- John Wiley and Sons
- Year
- 2002
- Tongue
- English
- Weight
- 140 KB
- Volume
- 16
- Category
- Article
- ISSN
- 0894-3257
- DOI
- 10.1002/bdm.432
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
Verbal expressions of probability and uncertainty are of two kinds: positive (βprobableβ, βpossibleβ) and negative (βnot certainβ, βdoubtfulβ). Choice of term has implications for predictions and decisions. The present studies show that positive phrases are rated to be more optimistic (when the target outcome is positive), and more correct, when the target outcome actually occurs, even in cases where positive and negative phrases are perceived to convey the same probabilities (Experiments 1 and 2). Selection of phrase can be determined by linguistic frame. Positive quantifiers (βsomeβ, βseveralβ) support positive probability phrases, whereas negative quantifiers (βnot allβ) suggest negative phrases (Experiment 3). Positive frames induced by numeric frequencies (e.g. the number of students to be admitted) imply positive probability phrases, whereas negative frames (e.g. the number of students to be rejected) call for negative probability phrases (Experiment 4). It is concluded that choice of verbal phrase is based not only on level of probability, but also on situational and linguistic cues. Copyright Β© 2002 John Wiley & Sons, Ltd.
π SIMILAR VOLUMES
We report results of an experiment designed to test a principle formulated by Budescu and Wallsten (1995), that, when communicating uncertainty information, mode choices are sensitive to sources and degrees of vagueness. In addition, we examined subjects' ecacy in using such uncertainty information