The roles of ability emotional intelligence in predicting affective decision-making

BMC Psychology

Table 3 Descriptive statistics and Pearson’s correlations for working memory, emotional intelligence, and affective Decision-Making tasks (N = 149)

	M(SD)	1.	2.	3.	4.	5.	6.	7.	8.	9.
1. Age	25.91(7.49)	-	− 0.052	− 0.027	− 0.101	0.065	− 0.018	0.059	< 0.001	0.157
2. N-back	2.02(1.23)		-	0.058	0.273**	0.122	− 0.053	0.053	0.270**	0.016
3. IGT adjusted advantage	33.23(11.75)			-	0.186*	0.028	0.097	0.090	0.241**	< 0.001
4. CCT optimal-suboptimal difference	5.93(5.91)				-	0.029	− 0.037	− 0.068	0.212**	− 0.069
5. BART post-loss pumps^a	0.42(1.48)					-	0.060	0.074	0.183*	0.024
6. Perceiving Emotions	103.58(14.65)						-	0.602**	0.334**	0.339**
7. Facilitating Thought	98.75(12.91)							-	0.362**	0.301**
8. Understanding Emotions	99.24(9.66)								-	0.108
9. Managing Emotions	98.66(7.25)									-

Notes. BART = Balloon analogue risk-taking task; CCT = Columbia card task; IGT = Iowa gambling task; M = Mean; SD = Standard deviation
*p <.05
**p <.01
^aN=148

ISSN: 2050-7283