Table 2

Results of mixed-model analyses predicting perceived leadership effectiveness

Model 1
Predicting leadership effectiveness
Model 1
Predicting leadership effectiveness
Model 1
Predicting leadership effectiveness
Model 4
Predicting leadership effectiveness
ParameterEstimateEstimateEstimate
Estimates of fixed effectsb.s.e.pb.s.e.Pb.s.e.Pb.s.e.p
Intercept6.50**0.0970.000−0.100.1130.3646.54**0.0900.0006.570.0870.000
Followers' Age−0.010.0070.341−0.02**0.0090.0090.000.0060.8800.000.0060.607
Followers' Gender (f = 1)−0.090.0950.3310.120.1150.295−0.140.0880.116−0.150.0860.082
Leaders' Gender (f = 1)0.050.0960.5980.030.1090.2720.040.0900.6920.010.0850.849
Servant Leadership0.40**0.0440.0000.32**0.0530.0000.29**0.0430.0000.30**0.0420.000
TCM-Cooperative      0.41**0.0660.0000.38**0.0650.000
TCM-Competitive      −0.100.0600.088−0.100.0590.098
Leaders' Machiavellianism         0.050.0550.330
Leaders' Machiavellianism*Servant Leadership         0.18**0.0570.002
Leaders' Machiavellianism*TCM Cooperative         −0.25**0.0880.005
Leaders' Machiavellianism*TCM Competitive         −0.030.0720.723
Estimates of covariance parameters
Residual0.493**0.0470.0000.742**0.0700.0000.412**0.0390.0000.4000.0380.000
Intercept0.0520.0340.1280.0430.0440.3360.0500.0280.0810.0360.0270.178
Model of fit statistics
Schwarz's Bayesian (BIC)716.346830.352671.134666.682
Akaike (AIC)708.905882.911663.707659.281
Pseudo R-Square0.2930.1750.4100.431

Note(s): 1. *p < 0.05 **p < 0.01

Source(s): Table by authors

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