Table 3 Summary of hierarchical... | Emerald Publishing

Table 3

Summary of hierarchical regression analysis for variables predicting 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	−1.2	0.86	−0.10
Race of follower	0.26	1.2	0.02
Age of follower	−1.2	0.56	−0.20*
Education of follower	0.40	0.70	0.04
Tenure with supervisor	1.3	0.42	0.22*
Gender dissimilarity	0.41	0.85	0.03
Race dissimilarity	0.80	1.2	0.06
Age dissimilarity R² = 0.07, ΔR² = 0.003	0.08	0.44	0.02

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	−1.2	0.86	−0.10
Race of follower	0.26	1.2	0.02
Age of follower	−1.2	0.56	−0.20*
Education of follower	0.40	0.70	0.04
Tenure with supervisor	1.3	0.42	0.22*
Gender dissimilarity	0.41	0.85	0.03
Race dissimilarity	0.80	1.2	0.06
Age dissimilarityR² = 0.07, ΔR² = 0.003	0.08	0.44	0.02

Note(s): LMX is measured using the LMX-7, *p < 0.05; **p < 0.01