Table V. Structural equation modeling... | Emerald Publishing

Table V.

Structural equation modeling results

Path	Estimate	S.E.	C.R.	p
SCL ← LMX	0.435	0.043	10.219	**
SOCB ← LMX	−0.018	0.050	−0.367	0.714
SOCB ← SCL	0.650	0.103	6.308	**
LMX11 ← LMX	1.000
LMX10 ← LMX	0.977	0.046	21.098	**
LMX9 ← LMX	0.912	0.058	15.647	**
LMX8 ← LMX	0.899	0.063	14.337	**
LMX6 ← LMX	1.148	0.067	17.145	**
LMX5 ← LMX	1.114	0.067	16.528	**
LMX4 ← LMX	1.065	0.067	16.010	**
LMX3 ← LMX	0.979	0.060	16.457	**
LMX2 ← LMX	1.071	0.064	16.657	**
Response ← SCL	1.000
Training ← SCL	1.203	0.090	13.310	**
Supervisor ← SCL	1.340	0.105	12.706	**
Participation ← SOCB	1.000
Courtesy ← SOCB	1.268	0.085	14.845	**
Helping ← SOCB	1.178	0.091	12.999	**

Path	Estimate	S.E.	C.R.	p
SCL ← LMX	0.435	0.043	10.219	**
SOCB ← LMX	−0.018	0.050	−0.367	0.714
SOCB ← SCL	0.650	0.103	6.308	**
LMX11 ← LMX	1.000
LMX10 ← LMX	0.977	0.046	21.098	**
LMX9 ← LMX	0.912	0.058	15.647	**
LMX8 ← LMX	0.899	0.063	14.337	**
LMX6 ← LMX	1.148	0.067	17.145	**
LMX5 ← LMX	1.114	0.067	16.528	**
LMX4 ← LMX	1.065	0.067	16.010	**
LMX3 ← LMX	0.979	0.060	16.457	**
LMX2 ← LMX	1.071	0.064	16.657	**
Response ← SCL	1.000
Training ← SCL	1.203	0.090	13.310	**
Supervisor ← SCL	1.340	0.105	12.706	**
Participation ← SOCB	1.000
Courtesy ← SOCB	1.268	0.085	14.845	**
Helping ← SOCB	1.178	0.091	12.999	**

Notes:

S.E. is an estimate of the standard error of the covariance;

C.R. is obtained by dividing the covariance estimate by its standard error; and

**

significance level p < 0.01