Table 3

Regression analyses – predictors on performance and job satisfaction, final models

Time, dependent variable and predictorsadj. R2BβFp
Time 1 (n = 648)
Performance0.10    
Exemplary model −0.05−0.061.010.316
Ind. consideration 0.030.040.390.532
Insp. and motiv. 0.080.145.210.023
Envir. monit. 0.030.040.550.459
Strategy 0.080.103.550.060
Path-goal fac. 0.090.124.910.027
Outcome monit. 0.020.030.280.595
Time 2 (n = 477)
Performance0.21    
Exemplary model 0.040.060.610.435
Ind. consideration 0.060.091.450.229
Insp. and motiv. 0.030.050.460.496
Envir. monit. −0.03−0.050.520.473
Strategy 0.170.2213.980.000
Path-goal fac. 0.030.050.490.482
Outcome monit 0.080.123.290.070
Time 3 (n = 457)
Performance0.09    
Exemplary model 0.100.122.110.147
Ind. consideration −0.020.020.040.836
Insp. and motiv. −0.010.050.310.581
Envir. monit. −0.08−0.050.720.396
Strategy 0.110.091.310.254
Path-goal fac. 0.080.175.470.020
Outcome monit. 0.01−0.040.290.588
Time 1 (n = 646)
Job satisfaction0.13    
Exemplary model −0.17−0.113.620.058
Ind. consideration 0.040.040.340.558
Insp. and motiv. 0.300.3025.280.000
Envir. monit. 0.050.030.440.505
Strategy −0.08−0.061.250.264
Path-goal fac. 0.190.157.630.006
Outcome monit. 0.030.020.160.687
Time 2 (n = 476)
Job satisfaction0.10    
Exemplary model 0.010.010.020.903
Ind. consideration −0.09−0.070.770.380
Insp. and motiv. 0.370.3518.880.000
Envir. monit. 0.150.123.440.064
Strategy −0.07−0.050.530.466
Path-goal fac. −0.03−0.030.150.698
Outcome monit. −0.02−0.010.040.851
Time 3 (n = 460)
Job satisfaction0.18    
Exemplary model 0.200.163.870.050
Ind. consideration −0.23−0.215.920.015
Insp. and motiv. 0.560.5855.500.000
Envir. monit. 0.02−0.010.040.845
Strategy −0.19−0.143.700.055
Path-goal fac. 0.100.091.630.203
Outcome monit. −0.16−0.144.780.029

Source(s): Authors' own creation/work

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