Table A7

Regression analysis of performance and reputation

Model summaryb
ModelRR squareAdj. R squareStd. error of estimateChange statisticsDurbin–Watson
R sq. changeF changedf1df2Sig. F change
10.868a0.7540.7490.476150.754161.531105270.0002.102
CoefficientsUnstand. CoeffStandardized coefficientsCollinearity statistics
Model 1BStd. errorBetatSigToleranceVIF
(Constant)7.960.242 32.8340.00  
  • f1 Ethical

0.2250.0390.235.8180.000.33.337
  • f2 Modern

0.3190.0390.3248.1940.000.2983.35
  • f3 Effective

0.1140.0440.1152.5710.010.2354.252
  • f4 Esteemed

0.0210.050.0210.4270.6690.1975.064
  • f5 Known

0.240.0530.234.5460.000.1835.478
  • f6 Reach

0.0310.0350.0290.8910.3730.4422.263
  • Surplus % Chg

0.3530.1040.1243.3870.0010.3482.875
  • Spending % Chg

1.660.5810.1072.860.0040.3333.007
  • Soc.med Neg

0.0110.010.0311.1040.270.5951.681
  • Reports

0.0380.0230.0381.6680.0960.8811.135

Note(s): aPredictors: (Constant), Reports, f1 Ethical, Surplus % Chg, Soc.med Neg, f6 Reach, f2 Modern, Spending % Chg, f4 Esteemed, f3 Effective, f5 Known

bDependent variable: School grade. Regression method “Enter”, i.e. all variables are added to the model

Dependent variable: school grade

or Create an Account

Close subscription notice
Close access options