Table 5 Summary of hierarchical... | Emerald Publishing

Table 5

Summary of hierarchical regression analysis for CA and LMX (N = 241)

Variables	B	SE B	β
Step 1
Gender of follower	−1.1	0.82	−0.10
Race of follower	0.81	0.87	0.06
Age of follower	−1.3	0.46	−0.20**
Education of follower	0.40	0.69	0.04
Tenure with supervisor ΔR² = 0.06	1.2	0.40	0.22**
Step 2
Gender of follower	−0.32	0.71	−0.03
Race of follower	−0.02	0.76	0.00
Age of follower	−1.3	0.40	−0.22**
Education of follower	0.10	0.60	0.01
Tenure with supervisor	0.84	0.40	0.15*
Communication apprehension	0.57	0.06	0.51**

Variables	B	SE B	β
Step 1
Gender of follower	−1.1	0.82	−0.10
Race of follower	0.81	0.87	0.06
Age of follower	−1.3	0.46	−0.20**
Education of follower	0.40	0.69	0.04
Tenure with supervisorΔR² = 0.06	1.2	0.40	0.22**
Step 2
Gender of follower	−0.32	0.71	−0.03
Race of follower	−0.02	0.76	0.00
Age of follower	−1.3	0.40	−0.22**
Education of follower	0.10	0.60	0.01
Tenure with supervisor	0.84	0.40	0.15*
Communication apprehension	0.57	0.06	0.51**

Note(s): R² = 0.30; ΔR² = 0.24

*p < 0.05; **p < 0.01, CA measured by the six-item dyadic subscale of the PRCA-24, LMX measured by the LMX-7