Table 2.

EATQ-R Full Model Estimated Factor Correlations

Factor Correlations	Common EC		Activation- Specific		Surgency		Common PE		Pleasure sensitivity- specific		Perceptual sensitivity- specific
Dataset	1	2	1	2	1	2	1	2	1	2	1	2
Common NE	−.48*	−.36*	.24*	.30*	−.16	−.25*	.55*	.57*	.09	.09	.07	.10
Aggression- specific	−.42*	−.43*	.09	−.17	.08	.17*	−.16	−.15	−.08	−.30*	.05	.16
Depressed mood specific	−.33*	−.40*	−.11	.09	−.13	−.22*	−.63*	−.56*	.06	.03	.34*	.31*
Fear-specific	−.10	−.17	.36*	.29	−.61*	−.48*	−.30*	−.29	.40*	.19	.04	.03
Frustration- specific	−.23*	−.41*	−.23	−.13	.07	.17	.10	.03	−.07	−.20	.12	.11
Shyness- specific	.00	−.10	−.04	−.08	−.25*	−.21*	−.15	−.21*	.01	.07	−.04	.07
Common EC					.13	.11	.10	.14	.01	.09	−.14	−.20*
Activation- specific					−.28*	−.26*	−.04	−.13	.27*	.35*	.15	.17
Common PE	.10	.14	−.04	−.13	.23*	.14
Pleasure sensitivity- specific	.01	.09	.27*	.35*	−.13	−.11
Perceptual sensitivity- specific	−.14	−.20*	.15	.17	.09	.08

Note. Dataset 1= model development dataset, Dataset 2= Hold-out dataset. n=1013 for each dataset. Grey boxes in factor correlations table indicate self-correlations or factors constrained not to correlate (e.g., Specific factors within each scale do not correlate with each other or their Common factor, because their shared variance is already captured by their Common factor).

^*p < .0005 (Bonferroni corrected p value for family-wise error rate of .05)