Reading taalperc.log
Results of mascha
Results of marieke
Results of Masha
Results of Jacob
Results of Donijs
Results of Auke2
Results of Suzanne
Results of Jos%28mirte%29
Results of Marga%28mirte%29
Results of Remco%28mirte%29
Results of Marieke%28mirte%29
Results of lenneke%28mirte%29
Results of auke%28mirte%29
Results of Lies
Results of Jorrit-Sanne
Results of Lenneke-Sarah
Results of Jorrit-Sarah
Results of Remco-Sarah
Results of Suzanne-Sarah
Results of Lies-Sarah
Results of Donijs-Sarah
Results of Jacob-Sarah
Results of Jos-Sarah
Results of Marga-Sarah
Normalizing Subject 1 ... Sum 522.000 in 144.000, Adjust: add -3.625
Variance is 0.76215 Standard Deviation is 0.87301, Adjust: multiply by 1.14546
Normalizing Subject 2 ... Sum 527.000 in 144.000, Adjust: add -3.660
Variance is 0.87727 Standard Deviation is 0.93663, Adjust: multiply by 1.06766
Normalizing Subject 3 ... Sum 512.000 in 144.000, Adjust: add -3.556
Variance is 0.69136 Standard Deviation is 0.83148, Adjust: multiply by 1.20268
Normalizing Subject 4 ... Sum 513.000 in 144.000, Adjust: add -3.562
Variance is 0.70443 Standard Deviation is 0.83930, Adjust: multiply by 1.19147
Normalizing Subject 5 ... Sum 516.000 in 144.000, Adjust: add -3.583
Variance is 0.74306 Standard Deviation is 0.86201, Adjust: multiply by 1.16008
Normalizing Subject 6 ... Sum 515.000 in 144.000, Adjust: add -3.576
Variance is 0.73028 Standard Deviation is 0.85456, Adjust: multiply by 1.17019
Normalizing Subject 7 ... Sum 523.000 in 144.000, Adjust: add -3.632
Variance is 0.82981 Standard Deviation is 0.91094, Adjust: multiply by 1.09777
Normalizing Subject 8 ... Sum 519.000 in 144.000, Adjust: add -3.604
Variance is 0.78082 Standard Deviation is 0.88364, Adjust: multiply by 1.13169
Normalizing Subject 9 ... Sum 528.000 in 144.000, Adjust: add -3.667
Variance is 0.88889 Standard Deviation is 0.94281, Adjust: multiply by 1.06066
Normalizing Subject 10 ... Sum 528.000 in 144.000, Adjust: add -3.667
Variance is 0.88889 Standard Deviation is 0.94281, Adjust: multiply by 1.06066
Normalizing Subject 11 ... Sum 527.000 in 144.000, Adjust: add -3.660
Variance is 0.87727 Standard Deviation is 0.93663, Adjust: multiply by 1.06766
Normalizing Subject 12 ... Sum 528.000 in 144.000, Adjust: add -3.667
Variance is 0.88889 Standard Deviation is 0.94281, Adjust: multiply by 1.06066
Normalizing Subject 13 ... Sum 523.000 in 144.000, Adjust: add -3.632
Variance is 0.82981 Standard Deviation is 0.91094, Adjust: multiply by 1.09777
Normalizing Subject 14 ... Sum 528.000 in 144.000, Adjust: add -3.667
Variance is 0.88889 Standard Deviation is 0.94281, Adjust: multiply by 1.06066
Normalizing Subject 15 ... Sum 528.000 in 144.000, Adjust: add -3.667
Variance is 0.88889 Standard Deviation is 0.94281, Adjust: multiply by 1.06066
Normalizing Subject 16 ... Sum 528.000 in 144.000, Adjust: add -3.667
Variance is 0.88889 Standard Deviation is 0.94281, Adjust: multiply by 1.06066
Normalizing Subject 17 ... Sum 527.000 in 144.000, Adjust: add -3.660
Variance is 0.87727 Standard Deviation is 0.93663, Adjust: multiply by 1.06766
Normalizing Subject 18 ... Sum 527.000 in 144.000, Adjust: add -3.660
Variance is 0.87727 Standard Deviation is 0.93663, Adjust: multiply by 1.06766
Normalizing Subject 19 ... Sum 527.000 in 144.000, Adjust: add -3.660
Variance is 0.87727 Standard Deviation is 0.93663, Adjust: multiply by 1.06766
Normalizing Subject 20 ... Sum 528.000 in 144.000, Adjust: add -3.667
Variance is 0.88889 Standard Deviation is 0.94281, Adjust: multiply by 1.06066
Normalizing Subject 21 ... Sum 527.000 in 144.000, Adjust: add -3.660
Variance is 0.87727 Standard Deviation is 0.93663, Adjust: multiply by 1.06766
Normalizing Subject 22 ... Sum 527.000 in 144.000, Adjust: add -3.660
Variance is 0.87727 Standard Deviation is 0.93663, Adjust: multiply by 1.06766
Normalizing Subject 23 ... Sum 527.000 in 144.000, Adjust: add -3.660
Variance is 0.87727 Standard Deviation is 0.93663, Adjust: multiply by 1.06766
Normalizing Subject 24 ... Sum 526.000 in 144.000, Adjust: add -3.653
Variance is 0.87944 Standard Deviation is 0.93778, Adjust: multiply by 1.06634
Calculating mean and standard deviation per
Storing the overall results in results-perc.txt
Without RC:
Intended attachment/stress on NP 1:
Perceived attachment/stress for NP 1:
mean: 1.420 std dev: 0.287 data points: 192
Perceived attachment/stress for NP 2:
mean: -0.673 std dev: 0.233 data points: 192
Perceived attachment/stress for NP 3:
mean: -0.701 std dev: 0.010 data points: 192
Intended attachment/stress on NP 2:
Perceived attachment/stress for NP 1:
mean: -0.702 std dev: 0.009 data points: 192
Perceived attachment/stress for NP 2:
mean: 1.445 std dev: 0.101 data points: 192
Perceived attachment/stress for NP 3:
mean: -0.702 std dev: 0.009 data points: 192
Intended attachment/stress on NP 3:
Perceived attachment/stress for NP 1:
mean: -0.656 std dev: 0.269 data points: 192
Perceived attachment/stress for NP 2:
mean: -0.603 std dev: 0.436 data points: 192
Perceived attachment/stress for NP 3:
mean: 1.170 std dev: 0.628 data points: 192
With RC:
Intended attachment/stress on NP 1:
Perceived attachment/stress for NP 1:
mean: 1.239 std dev: 0.694 data points: 192
Perceived attachment/stress for NP 2:
mean: -0.677 std dev: 0.174 data points: 192
Perceived attachment/stress for NP 3:
mean: -0.505 std dev: 0.603 data points: 192
Intended attachment/stress on NP 2:
Perceived attachment/stress for NP 1:
mean: -0.186 std dev: 0.913 data points: 192
Perceived attachment/stress for NP 2:
mean: 0.473 std dev: 1.008 data points: 192
Perceived attachment/stress for NP 3:
mean: -0.373 std dev: 0.742 data points: 192
Intended attachment/stress on NP 3:
Perceived attachment/stress for NP 1:
mean: -0.462 std dev: 0.661 data points: 192
Perceived attachment/stress for NP 2:
mean: -0.435 std dev: 0.675 data points: 192
Perceived attachment/stress for NP 3:
mean: 0.926 std dev: 0.963 data points: 192