Losers’ consent and emotions in the aftermath of the Brexit referendum

Figures & data

Table 1. Logit regressions predicting perceptions of unfair process: EU referendum.

		B	SE
2016 vote	Leave	.09	.18
	Remain	.31	.27
	No vote	–	–
Current view	Leave	−.78*	.24
	Remain	2.21*	.41
	DK	–	–
Emotions	Anger (0–10)	.24*	.03
	Happiness (0–10)	−.15*	.03
Intercept		−1.45*	.30

Pseudo R² = .59, N = 1618.

Table 2. Logit regressions predicting perceptions of unfair process: general election.

		B	SE
2019 vote	Conservative	−1.35*	.35
	Labour	−.03	.20
	Other	.25	.23
	Non-voter	–	–
Emotions	Anger (0–10)	.28*	.04
	Happiness (0–10)	−.11*	.04
Intercept		−2.37*	.36

Pseudo R² = .35, N = 1618.

Note: * = p < 0.05. Anger/happiness are measured as 0 − 10 scales in which 0 is not at all angry/happy and 10 is extremely angry/happy.

Figure 1. The effect of emotion treatments on levels of anger and happiness at political outcomes.

Note: Marginal effects of treatment on anger/happiness scales shown with 95 per cent confidence intervals. Anger/happiness scales are 0–10 in which 0 is not at all angry/happy and 10 is extremely angry/happy.

Figure 2. The effect of emotion treatment (anger versus happiness) on perceptions of unfair process by people on the losing side.

Note: Effect of treatment on the perceived unfairness of the democratic process with 95 per cent confidence intervals.