Table 2 Hierarchical regression analysis... | Emerald Publishing

Table 2

Hierarchical regression analysis on IWB

	Step 1	Step 2	Step 3	Step 4
Independent variables	Controls	Direct effects	Direct effects with moderator	Two-way interactions
Direct effects
ELMX		−0.12 (0.140)	−0.10 (0.153)	−0.10 (0.157)
SLMX		0.22^** (0.007)	0.13^# (0.074)	0.13^# (0.076)
Paradox mindset			0.44^*** (0.000)	0.47^*** (0.000)
Interactions
ELMX × Paradox mindset				−0.18^* (0.026)
SLMX × Paradox mindset				−0.19^* (0.020)
Controls
Tenure	0.06 (0.730)	0.04 (0.730)	0.10 (0.313)	0.07 (0.453)
Education	0.11 (0.715)	0.03 (0.715)	0.03 (0.698)	0.02 (0.810)
Age	−0.19^# (0.071)	−0.18^# (0.080)	−0.11 (0.254)	−0.09 (0.303)
Gender	−0.03 (0.753)	−0.01 (0.594)	0.01 (0.871)	0.01 (0.971)
R²	0.046	0.117	0.280	0.313
Adjusted R²	0.021	0.082	0.246	0.271
R²-change	0.046	0.071	0.163	0.033
(df1, df2)	(4, 155)	(2, 153)	(1, 152)	(2, 150)
F-change	1.859 (0.120)	6.151 (0.003)	34.342 (0.000)	3.594 (0.031)

	Step 1	Step 2	Step 3	Step 4
Independent variables	Controls	Direct effects	Direct effects with moderator	Two-way interactions
Direct effects
ELMX		−0.12 (0.140)	−0.10 (0.153)	−0.10 (0.157)
SLMX		0.22^** (0.007)	0.13^# (0.074)	0.13^# (0.076)
Paradox mindset			0.44^*** (0.000)	0.47^*** (0.000)
Interactions
ELMX × Paradox mindset				−0.18^* (0.026)
SLMX × Paradox mindset				−0.19^* (0.020)
Controls
Tenure	0.06 (0.730)	0.04 (0.730)	0.10 (0.313)	0.07 (0.453)
Education	0.11 (0.715)	0.03 (0.715)	0.03 (0.698)	0.02 (0.810)
Age	−0.19^# (0.071)	−0.18^# (0.080)	−0.11 (0.254)	−0.09 (0.303)
Gender	−0.03 (0.753)	−0.01 (0.594)	0.01 (0.871)	0.01 (0.971)
R²	0.046	0.117	0.280	0.313
Adjusted R²	0.021	0.082	0.246	0.271
R²-change	0.046	0.071	0.163	0.033
(df1, df2)	(4, 155)	(2, 153)	(1, 152)	(2, 150)
F-change	1.859 (0.120)	6.151 (0.003)	34.342 (0.000)	3.594 (0.031)

Note(s): ^#p < 0.10, ^*p < 0.05, ^**p < 0.01, ^***p < 0.001, p-values between brackets, standardised coefficients, interactions based on centred variables