Lower-bound 0.125
Notes: Test the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix. a May be used to adjust the degrees of freedom for the averaged tests of significance. b Design: Intercept Within Subjects Design: factor.
Performance criteria
Table A2 Bonferroni test on rating of performance criteria (pairwise comparisons) (I) factor (J) factor Mean difference (I – J) Std. error Sig. a 391
95% confidence interval for differencea Lower bound Upper bound 0.033 0.474 0.507 0.227 0.243 0.219 0.583 0.441 0.534 0.576 0.281 0.300 0.278 0.661 0.502 0.206 −0.070 −0.052 −0.073 0.279 0.140 −0.146 −0.125 −0.145 0.198 0.069 0.073 0.061 0.481 0.337 0.020 0.470 0.330 0.498 0.355 …show more content…
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2 3 4 5 6 7 8 9 3 4 5 6 7 8 9 4 5 6 7 8 9 5 6 7 8 9 6 7 8 9 7 8 9 8 9 9
−0.074 0.312* 0.364* 0.086 0.102 0.077 0.429* 0.293* 0.386* 0.438* 0.160* 0.176* 0.151* 0.503* 0.367* 0.052 −0.225* −0.210* −0.235* 0.117 −0.019 −0.278* −0.262* −0.287* 0.065 −0.071 0.015 −0.009 0.343* 0.207* −0.025 0.327* 0.191* 0.352* 0.216* −0.136*
0.033 0.050 0.044 0.044 0.044 0.044 0.048 0.046 0.046 0.043 0.037 0.038 0.039 0.049 0.042 0.048 0.048 0.049 0.050 0.050 0.049 0.041 0.042 0.044 0.041 0.043 0.018 0.022 0.043 0.040 0.014 0.044 0.043 0.045 0.043 0.038
0.969 0.000 0.000 10.000 0.731 10.000 0.000 0.000 0.000 0.000 0.001 0.000 0.005 0.000 0.000 10.000 0.000 0.001 0.000 0.705 10.000 0.000 0.000 0.000 10.000 10.000 10.000 10.000 0.000 0.000 1.000 0.000 0.000 0.000 0.000 0.017
−0.182 0.150 0.221 −0.054 −0.039 −0.065 0.275 0.145 0.238 0.300 0.040 0.052 0.025 0.345 0.232 −0.101 −0.381 −0.368 −0.396 −0.044 −0.177 −0.410 −0.399 −0.430 −0.069 −0.211 −0.042 −0.079 0.204 0.076 −0.069 0.184 0.053 0.206 0.077