Comparison of numerical results for the dlelectnc constant IS pven for a fluid of dlpolar hard discs described by various approlunate theories Agreement of the slmuktlon data IS found with Berkowitz-Adelman theory speclabsed to two Cunenslons only for the hyh hquld density of pR \* = 0 8 apparent ag
Social comparison on two dimensions
β Scribed by Dr. A. Van Knippenberg; H. Wilke; N. K. De Vries
- Publisher
- John Wiley and Sons
- Year
- 1981
- Tongue
- English
- Weight
- 1012 KB
- Volume
- 11
- Category
- Article
- ISSN
- 0046-2772
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
In this experiment social comparison on two task dimensions has been studied. The subjects received bogus feedback on their performance on two tests, one allegedly measuring creativity, the other alertness. By means of this feedback four relative position conditions were induced: scoring high on both tests, scoring low on both tests, scoring high on creativity and low on alertness, and vice versa. Anticipating either a coβoperative or a competitive game, the subjects indicated their preference for one or the other task dimension and also expressed their preference for a comparison person. It was found that, as predicted, the subjects preferred and valued comparison dimensions on which they occupied a favourable position. With respect to preference for a comparison person, compensatory choices were obtained: on the dimension on which the subject performed well, they preferred an inferior other. On the dimension on which they performed poorly, they preferred a superior other. This pattern of choices was found in coβoperation as well as in competition. Finally, upward preference was stronger in coβoperative than in competitive conditions, particularly on the dimension on which the subject's own score was low. These and other results were discussed in relation to theoretical social comparison notions.
π SIMILAR VOLUMES
When the mean square distortion measure is used, asymptotically optimal quantizers of uniform bivariate random vectors correspond to the centers of regular hexagons (Newman, 1982), and if the random vector is non-uniform, asymptotically optimal quantizers are the centers of piecewise regular hexagon