. 2015 Sep 14;10(9):e0137441. doi: 10.1371/journal.pone.0137441

Table 5. Predicting Teachers’ Emotions: Results from Multilevel Modeling.

	Anger	Anxiety	Shame	Boredom	Enjoyment	Pride
Level 1
Intercept (γ₀₀)	1.62^***	1.09^***	1.09^***	1.51^***	3.25^***	2.39^***
	(0.08)	(0.03)	(0.03)	(0.09)	(0.11)	(0.13)
State/Trait (γ₁₀)	0.73^***	0.79^***	0.53^***	0.39^***	0.70^***	1.17^***
	(0.10)	(0.06)	(0.06)	(0.09)	(0.10)	(0.13)
Level 2
Exhaustion (γ₀₁)	0.16^**	0.02	0.03	0.14	-0.26^**	-0.16
	(0.05)	(0.02)	(0.02)	(0.08)	(0.07)	(0.09)
Gender (γ₀₂)	-0.05	-0.01	0.00	-0.17	-0.45^**	-0.51^**
	(0.11)	(0.04)	(0.05)	(0.12)	(0.15)	(0.18)
Cross-level interactions L1-L2
State/Trait × Exhaustion (γ₁₁)	0.24^***	0.31^***	0.13^**	0.14^*	0.06	0.09
	(0.06)	(0.05)	(0.05)	(0.05)	(0.06)	(0.10)
State/Trait × Gender (γ₁₂)	0.11	0.16	0.27^*	0.05	0.30	0.36
	(0.15)	(0.10)	(0.10)	(0.11)	(0.16)	(0.19)
Variance components
Within-student (L1) variance (ơ²)	0.713	0.089	0.095	0.505	0.798	0.772
Intercept (L2) variance (τ₀₀)	0.172	0.024	0.030	0.181	0.353	0.530
Slope (L2) variance (τ₁₁)	0.066	0.089	0.095	0.048	0.189	0.246
Intercept-slope (L2) covariance (τ₀₁)	-0.105	-0.007	-0.019	-0.092	-0.257	-0.360

Note. Values in brackets: Standard errors. State/Trait: 0 = state, 1 = trait; Gender: 0 = male, 1 = female; N _{Level 1} = 1,158 (1,089 state assessments, 69 trait assessments); N _{Level 2} = 69.

* p < .05.

** p < .01.

*** p < .001.