The phrase "asymmetrical outcome" is correct and usable in written English.
It can be used in contexts where results or effects are uneven or imbalanced, often in discussions of economics, game theory, or social dynamics.
Example: "The negotiations led to an asymmetrical outcome, benefiting one party significantly more than the other."
Alternatives: "uneven result" or "disproportionate outcome".
The ostensibly symmetrical Linnean Society debut -- arranged by powerful friends of Darwin, and without approval from Wallace, who was still in the South Pacific -- assured an asymmetrical outcome.
Our analysis of her data reveals that, while negative events resulted in negative outcomes in approximately 30percentt of cases (a symmetrical outcome), in approximately 70percentt of cases they resulted in a positive outcome (an asymmetrical outcome).
Of the 19 positive interactions workers discussed, approximately 94percentt were categorized as resulting in a symmetrical outcome (positive to positive), while respondents only reported one (approximately 6%) had an asymmetrical outcome (positive to negative).
Interestingly, Hadley quantifies the incidence of symmetrical and asymmetrical outcomes following the emotional event.
Observing that inter-professional teams do not, of necessity, perform effectively, Mitchell et al. focus on the role of negative affect in producing asymmetrical outcomes.
Having introduced the articles of this Special Issue, it is instructive to briefly synthesize them with regard to the presence of the general tendency of asymmetrical outcomes.
These asymmetrical outcomes highlight the importance of examining iCCM from a systems perspective, and caution against evaluations that examine only one or two program components, which may miss the broader context and fail to offer comprehensive recommendations.
In summary, the Chi and Ho article strengthens our understanding of asymmetrical outcomes from negative emotional expressions and the importance of considering individual difference variables in moderating this process.
The complementary log log regression model is recommended for rare outcomes or when the data are asymmetrical (24– 26) and the outcome is binary.
Continuous outcomes with asymmetrical distribution will be analyzed using bootstrapping techniques and reported as absolute difference between medians, 95% CI and p values.
In addition, we asked explicitly what factors (e.g. context, individual differences or display rules) influence the development of symmetrical or asymmetrical relationships between emotions/concepts and their outcomes?
