Reading taalperc.log
Results of mascha
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
Calculating mean and standard deviation per
Storing the overall results in results-perc.txt
With RC:
Intended attachment/stress on NP 1:
Perceived attachment/stress for NP 1:
mean: 1.432 std dev: 0.379 data points: 8 sum of squared diff: 1.148
Perceived attachment/stress for NP 2:
mean: -0.716 std dev: 0.000 data points: 8 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: -0.716 std dev: 0.000 data points: 8 sum of squared diff: 0.000
Intended attachment/stress on NP 2:
Perceived attachment/stress for NP 1:
mean: 0.295 std dev: 1.031 data points: 17 sum of squared diff: 18.060
Perceived attachment/stress for NP 2:
mean: -0.177 std dev: 0.889 data points: 17 sum of squared diff: 13.429
Perceived attachment/stress for NP 3:
mean: -0.109 std dev: 0.972 data points: 17 sum of squared diff: 16.054
Intended attachment/stress on NP 3:
Perceived attachment/stress for NP 1:
mean: -0.616 std dev: 0.467 data points: 23 sum of squared diff: 5.020
Perceived attachment/stress for NP 2:
mean: -0.268 std dev: 0.809 data points: 23 sum of squared diff: 15.060
Perceived attachment/stress for NP 3:
mean: 0.878 std dev: 0.940 data points: 23 sum of squared diff: 20.309
With RC:
Intended attachment/stress on NP 1:
gmean 0.000 gsqsum,msw 1.148 gcnt 8
MSB 3.075 MSW 1.148 df1 (8-2) df2 (3-1)
F 6.696
Intended attachment/stress on NP 2:
gmean 0.003 gsqsum,msw 47.543 gcnt 17
MSB 0.130 MSW 47.543 df1 (17-2) df2 (3-1)
F 0.019
Intended attachment/stress on NP 3:
gmean -0.002 gsqsum,msw 40.389 gcnt 23
MSB 1.222 MSW 40.389 df1 (23-2) df2 (3-1)
F 0.303
Reading taalperc.log
Results of marieke
Normalizing Subject 1 ... Sum 527.000 in 144.000, Adjust: add -3.660
Variance is 0.87727 Standard Deviation is 0.93663, Adjust: multiply by 1.06766
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: 1.431 std dev: 0.000 data points: 17 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: -0.704 std dev: 0.000 data points: 17 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: -0.704 std dev: 0.000 data points: 17 sum of squared diff: 0.000
Intended attachment/stress on NP 2:
Perceived attachment/stress for NP 1:
mean: -0.704 std dev: 0.000 data points: 14 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: 1.431 std dev: 0.000 data points: 14 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: -0.704 std dev: 0.000 data points: 14 sum of squared diff: 0.000
Intended attachment/stress on NP 3:
Perceived attachment/stress for NP 1:
mean: -0.642 std dev: 0.251 data points: 17 sum of squared diff: 1.073
Perceived attachment/stress for NP 2:
mean: -0.579 std dev: 0.502 data points: 17 sum of squared diff: 4.291
Perceived attachment/stress for NP 3:
mean: 1.180 std dev: 0.688 data points: 17 sum of squared diff: 8.046
Without RC:
Intended attachment/stress on NP 1:
gmean 0.007 gsqsum,msw 0.000 gcnt 17
MSB 3.040 MSW 0.000 df1 (17-2) df2 (3-1)
F 8462224748183685525997747175424.000
Intended attachment/stress on NP 2:
gmean 0.007 gsqsum,msw 0.000 gcnt 14
MSB 3.040 MSW 0.000 df1 (14-2) df2 (3-1)
F 12110479805436337124605662593024.000
Intended attachment/stress on NP 3:
gmean -0.014 gsqsum,msw 13.411 gcnt 17
MSB 2.138 MSW 13.411 df1 (17-2) df2 (3-1)
F 1.116
Reading taalperc.log
Results of Masha
Normalizing Subject 1 ... Sum 512.000 in 144.000, Adjust: add -3.556
Variance is 0.69136 Standard Deviation is 0.83148, Adjust: multiply by 1.20268
Calculating mean and standard deviation per
Storing the overall results in results-perc.txt
With RC:
Intended attachment/stress on NP 1:
Perceived attachment/stress for NP 1:
mean: 1.286 std dev: 0.837 data points: 8 sum of squared diff: 5.605
Perceived attachment/stress for NP 2:
mean: -0.668 std dev: 0.000 data points: 8 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: -0.367 std dev: 0.795 data points: 8 sum of squared diff: 5.062
Intended attachment/stress on NP 2:
Perceived attachment/stress for NP 1:
mean: 0.464 std dev: 1.127 data points: 17 sum of squared diff: 21.611
Perceived attachment/stress for NP 2:
mean: -0.173 std dev: 0.721 data points: 17 sum of squared diff: 8.849
Perceived attachment/stress for NP 3:
mean: -0.456 std dev: 0.617 data points: 17 sum of squared diff: 6.466
Intended attachment/stress on NP 3:
Perceived attachment/stress for NP 1:
mean: -0.354 std dev: 0.728 data points: 23 sum of squared diff: 12.200
Perceived attachment/stress for NP 2:
mean: -0.616 std dev: 0.245 data points: 23 sum of squared diff: 1.384
Perceived attachment/stress for NP 3:
mean: 1.005 std dev: 0.987 data points: 23 sum of squared diff: 22.388
With RC:
Intended attachment/stress on NP 1:
gmean 0.084 gsqsum,msw 10.667 gcnt 8
MSB 2.215 MSW 10.667 df1 (8-2) df2 (3-1)
F 0.519
Intended attachment/stress on NP 2:
gmean -0.055 gsqsum,msw 36.926 gcnt 17
MSB 0.444 MSW 36.926 df1 (17-2) df2 (3-1)
F 0.084
Intended attachment/stress on NP 3:
gmean 0.012 gsqsum,msw 35.972 gcnt 23
MSB 1.515 MSW 35.972 df1 (23-2) df2 (3-1)
F 0.421
Reading taalperc.log
Results of Jacob
Normalizing Subject 1 ... Sum 513.000 in 144.000, Adjust: add -3.562
Variance is 0.70443 Standard Deviation is 0.83930, Adjust: multiply by 1.19147
Calculating mean and standard deviation per
Storing the overall results in results-perc.txt
With RC:
Intended attachment/stress on NP 1:
Perceived attachment/stress for NP 1:
mean: 1.051 std dev: 0.991 data points: 18 sum of squared diff: 17.666
Perceived attachment/stress for NP 2:
mean: -0.670 std dev: 0.000 data points: 18 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: -0.207 std dev: 0.900 data points: 18 sum of squared diff: 14.590
Intended attachment/stress on NP 2:
Perceived attachment/stress for NP 1:
mean: -0.670 std dev: 0.000 data points: 14 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: 0.436 std dev: 0.838 data points: 14 sum of squared diff: 9.836
Perceived attachment/stress for NP 3:
mean: -0.245 std dev: 0.727 data points: 14 sum of squared diff: 7.402
Intended attachment/stress on NP 3:
Perceived attachment/stress for NP 1:
mean: -0.670 std dev: 0.000 data points: 16 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: -0.596 std dev: 0.288 data points: 16 sum of squared diff: 1.331
Perceived attachment/stress for NP 3:
mean: 1.489 std dev: 0.627 data points: 16 sum of squared diff: 6.299
With RC:
Intended attachment/stress on NP 1:
gmean 0.058 gsqsum,msw 32.256 gcnt 18
MSB 1.586 MSW 32.256 df1 (18-2) df2 (3-1)
F 0.369
Intended attachment/stress on NP 2:
gmean -0.160 gsqsum,msw 17.238 gcnt 14
MSB 0.623 MSW 17.238 df1 (14-2) df2 (3-1)
F 0.199
Intended attachment/stress on NP 3:
gmean 0.074 gsqsum,msw 7.630 gcnt 16
MSB 3.006 MSW 7.630 df1 (16-2) df2 (3-1)
F 2.560
Reading taalperc.log
Results of Donijs
Normalizing Subject 1 ... Sum 516.000 in 144.000, Adjust: add -3.583
Variance is 0.74306 Standard Deviation is 0.86201, Adjust: multiply by 1.16008
Calculating mean and standard deviation per
Storing the overall results in results-perc.txt
With RC:
Intended attachment/stress on NP 1:
Perceived attachment/stress for NP 1:
mean: 1.538 std dev: 0.483 data points: 22 sum of squared diff: 5.138
Perceived attachment/stress for NP 2:
mean: -0.677 std dev: 0.000 data points: 22 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: -0.624 std dev: 0.242 data points: 22 sum of squared diff: 1.285
Intended attachment/stress on NP 2:
Perceived attachment/stress for NP 1:
mean: -0.540 std dev: 0.546 data points: 17 sum of squared diff: 5.067
Perceived attachment/stress for NP 2:
mean: 0.552 std dev: 0.741 data points: 17 sum of squared diff: 9.341
Perceived attachment/stress for NP 3:
mean: -0.472 std dev: 0.595 data points: 17 sum of squared diff: 6.016
Intended attachment/stress on NP 3:
Perceived attachment/stress for NP 1:
mean: -0.677 std dev: 0.000 data points: 9 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: -0.677 std dev: 0.000 data points: 9 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: 1.643 std dev: 0.000 data points: 9 sum of squared diff: 0.000
With RC:
Intended attachment/stress on NP 1:
gmean 0.079 gsqsum,msw 6.423 gcnt 22
MSB 3.194 MSW 6.423 df1 (22-2) df2 (3-1)
F 4.724
Intended attachment/stress on NP 2:
gmean -0.154 gsqsum,msw 20.424 gcnt 17
MSB 0.748 MSW 20.424 df1 (17-2) df2 (3-1)
F 0.256
Intended attachment/stress on NP 3:
gmean 0.097 gsqsum,msw 0.000 gcnt 9
MSB 3.589 MSW 0.000 df1 (9-2) df2 (3-1)
F 16175379621603857708970751819776.000
Reading taalperc.log
Results of Auke2
Normalizing Subject 1 ... Sum 515.000 in 144.000, Adjust: add -3.576
Variance is 0.73028 Standard Deviation is 0.85456, Adjust: multiply by 1.17019
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: 1.666 std dev: 0.000 data points: 18 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: -0.674 std dev: 0.000 data points: 18 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: -0.674 std dev: 0.000 data points: 18 sum of squared diff: 0.000
Intended attachment/stress on NP 2:
Perceived attachment/stress for NP 1:
mean: -0.674 std dev: 0.000 data points: 14 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: 1.666 std dev: 0.000 data points: 14 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: -0.674 std dev: 0.000 data points: 14 sum of squared diff: 0.000
Intended attachment/stress on NP 3:
Perceived attachment/stress for NP 1:
mean: -0.601 std dev: 0.283 data points: 16 sum of squared diff: 1.284
Perceived attachment/stress for NP 2:
mean: -0.309 std dev: 0.682 data points: 16 sum of squared diff: 7.446
Perceived attachment/stress for NP 3:
mean: 0.276 std dev: 0.742 data points: 16 sum of squared diff: 8.815
Without RC:
Intended attachment/stress on NP 1:
gmean 0.106 gsqsum,msw 0.000 gcnt 18
MSB 3.652 MSW 0.000 df1 (18-2) df2 (3-1)
F 15429793213634489852835399729152.000
Intended attachment/stress on NP 2:
gmean 0.106 gsqsum,msw 0.000 gcnt 14
MSB 3.652 MSW 0.000 df1 (14-2) df2 (3-1)
F 999.999
Intended attachment/stress on NP 3:
gmean -0.211 gsqsum,msw 17.545 gcnt 16
MSB 0.399 MSW 17.545 df1 (16-2) df2 (3-1)
F 0.148
Reading taalperc.log
Results of Suzanne
Normalizing Subject 1 ... Sum 523.000 in 144.000, Adjust: add -3.632
Variance is 0.82981 Standard Deviation is 0.91094, Adjust: multiply by 1.09777
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: 1.308 std dev: 0.563 data points: 17 sum of squared diff: 5.387
Perceived attachment/stress for NP 2:
mean: -0.565 std dev: 0.517 data points: 17 sum of squared diff: 4.537
Perceived attachment/stress for NP 3:
mean: -0.694 std dev: 0.000 data points: 17 sum of squared diff: 0.000
Intended attachment/stress on NP 2:
Perceived attachment/stress for NP 1:
mean: -0.694 std dev: 0.000 data points: 14 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: 1.423 std dev: 0.283 data points: 14 sum of squared diff: 1.119
Perceived attachment/stress for NP 3:
mean: -0.694 std dev: 0.000 data points: 14 sum of squared diff: 0.000
Intended attachment/stress on NP 3:
Perceived attachment/stress for NP 1:
mean: -0.694 std dev: 0.000 data points: 17 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: -0.565 std dev: 0.517 data points: 17 sum of squared diff: 4.537
Perceived attachment/stress for NP 3:
mean: 1.179 std dev: 0.626 data points: 17 sum of squared diff: 6.663
Without RC:
Intended attachment/stress on NP 1:
gmean 0.017 gsqsum,msw 9.924 gcnt 17
MSB 2.510 MSW 9.924 df1 (17-2) df2 (3-1)
F 1.771
Intended attachment/stress on NP 2:
gmean 0.012 gsqsum,msw 1.119 gcnt 14
MSB 2.988 MSW 1.119 df1 (14-2) df2 (3-1)
F 14.687
Intended attachment/stress on NP 3:
gmean -0.026 gsqsum,msw 11.200 gcnt 17
MSB 2.188 MSW 11.200 df1 (17-2) df2 (3-1)
F 1.367
Reading taalperc.log
Results of Jos%28mirte%29
Normalizing Subject 1 ... Sum 519.000 in 144.000, Adjust: add -3.604
Variance is 0.78082 Standard Deviation is 0.88364, Adjust: multiply by 1.13169
Calculating mean and standard deviation per
Storing the overall results in results-perc.txt
With RC:
Intended attachment/stress on NP 1:
Perceived attachment/stress for NP 1:
mean: 1.140 std dev: 0.767 data points: 18 sum of squared diff: 10.601
Perceived attachment/stress for NP 2:
mean: -0.621 std dev: 0.259 data points: 18 sum of squared diff: 1.210
Perceived attachment/stress for NP 3:
mean: -0.621 std dev: 0.259 data points: 18 sum of squared diff: 1.210
Intended attachment/stress on NP 2:
Perceived attachment/stress for NP 1:
mean: 0.044 std dev: 1.013 data points: 14 sum of squared diff: 14.362
Perceived attachment/stress for NP 2:
mean: 0.448 std dev: 1.132 data points: 14 sum of squared diff: 17.930
Perceived attachment/stress for NP 3:
mean: -0.522 std dev: 0.396 data points: 14 sum of squared diff: 2.196
Intended attachment/stress on NP 3:
Perceived attachment/stress for NP 1:
mean: -0.401 std dev: 0.749 data points: 16 sum of squared diff: 8.965
Perceived attachment/stress for NP 2:
mean: -0.542 std dev: 0.548 data points: 16 sum of squared diff: 4.803
Perceived attachment/stress for NP 3:
mean: 1.085 std dev: 0.892 data points: 16 sum of squared diff: 12.727
With RC:
Intended attachment/stress on NP 1:
gmean -0.034 gsqsum,msw 13.021 gcnt 18
MSB 2.066 MSW 13.021 df1 (18-2) df2 (3-1)
F 1.190
Intended attachment/stress on NP 2:
gmean -0.010 gsqsum,msw 34.488 gcnt 14
MSB 0.475 MSW 34.488 df1 (14-2) df2 (3-1)
F 0.076
Intended attachment/stress on NP 3:
gmean 0.047 gsqsum,msw 26.495 gcnt 16
MSB 1.624 MSW 26.495 df1 (16-2) df2 (3-1)
F 0.398
Reading taalperc.log
Results of Marga%28mirte%29
Normalizing Subject 1 ... Sum 528.000 in 144.000, Adjust: add -3.667
Variance is 0.88889 Standard Deviation is 0.94281, Adjust: multiply by 1.06066
Calculating mean and standard deviation per
Storing the overall results in results-perc.txt
With RC:
Intended attachment/stress on NP 1:
Perceived attachment/stress for NP 1:
mean: 1.414 std dev: 0.000 data points: 22 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: -0.707 std dev: 0.000 data points: 22 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: -0.707 std dev: 0.000 data points: 22 sum of squared diff: 0.000
Intended attachment/stress on NP 2:
Perceived attachment/stress for NP 1:
mean: -0.707 std dev: 0.000 data points: 17 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: 1.414 std dev: 0.000 data points: 17 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: -0.707 std dev: 0.000 data points: 17 sum of squared diff: 0.000
Intended attachment/stress on NP 3:
Perceived attachment/stress for NP 1:
mean: -0.707 std dev: 0.000 data points: 9 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: -0.707 std dev: 0.000 data points: 9 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: 1.414 std dev: 0.000 data points: 9 sum of squared diff: 0.000
With RC:
Intended attachment/stress on NP 1:
gmean 0.000 gsqsum,msw 0.000 gcnt 22
MSB 3.000 MSW 0.000 df1 (22-2) df2 (3-1)
F 8758313237940509911657727655936.000
Intended attachment/stress on NP 2:
gmean 0.000 gsqsum,msw 0.000 gcnt 17
MSB 3.000 MSW 0.000 df1 (17-2) df2 (3-1)
F 12527370637549593199235355901952.000
Intended attachment/stress on NP 3:
gmean 0.000 gsqsum,msw 0.000 gcnt 9
MSB 3.000 MSW 0.000 df1 (9-2) df2 (3-1)
F 13521606402434484479295062278144.000
Reading taalperc.log
Results of Remco%28mirte%29
Normalizing Subject 1 ... Sum 528.000 in 144.000, Adjust: add -3.667
Variance is 0.88889 Standard Deviation is 0.94281, Adjust: multiply by 1.06066
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: 1.414 std dev: 0.000 data points: 18 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: -0.707 std dev: 0.000 data points: 18 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: -0.707 std dev: 0.000 data points: 18 sum of squared diff: 0.000
Intended attachment/stress on NP 2:
Perceived attachment/stress for NP 1:
mean: -0.707 std dev: 0.000 data points: 14 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: 1.414 std dev: 0.000 data points: 14 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: -0.707 std dev: 0.000 data points: 14 sum of squared diff: 0.000
Intended attachment/stress on NP 3:
Perceived attachment/stress for NP 1:
mean: -0.707 std dev: 0.000 data points: 16 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: -0.707 std dev: 0.000 data points: 16 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: 1.414 std dev: 0.000 data points: 16 sum of squared diff: 0.000
Without RC:
Intended attachment/stress on NP 1:
gmean 0.000 gsqsum,msw 0.000 gcnt 18
MSB 3.000 MSW 0.000 df1 (18-2) df2 (3-1)
F 8451004001521545481210019446784.000
Intended attachment/stress on NP 2:
gmean 0.000 gsqsum,msw 0.000 gcnt 14
MSB 3.000 MSW 0.000 df1 (14-2) df2 (3-1)
F 7968089487148890629049042337792.000
Intended attachment/stress on NP 3:
gmean 0.000 gsqsum,msw 0.000 gcnt 16
MSB 3.000 MSW 0.000 df1 (16-2) df2 (3-1)
F 12359593352225265937990434160640.000
Reading taalperc.log
Results of Marieke%28mirte%29
Normalizing Subject 1 ... Sum 527.000 in 144.000, Adjust: add -3.660
Variance is 0.87727 Standard Deviation is 0.93663, Adjust: multiply by 1.06766
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: 1.431 std dev: 0.000 data points: 17 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: -0.704 std dev: 0.000 data points: 17 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: -0.704 std dev: 0.000 data points: 17 sum of squared diff: 0.000
Intended attachment/stress on NP 2:
Perceived attachment/stress for NP 1:
mean: -0.704 std dev: 0.000 data points: 14 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: 1.431 std dev: 0.000 data points: 14 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: -0.704 std dev: 0.000 data points: 14 sum of squared diff: 0.000
Intended attachment/stress on NP 3:
Perceived attachment/stress for NP 1:
mean: -0.704 std dev: 0.000 data points: 17 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: -0.579 std dev: 0.502 data points: 17 sum of squared diff: 4.291
Perceived attachment/stress for NP 3:
mean: 1.243 std dev: 0.548 data points: 17 sum of squared diff: 5.096
Without RC:
Intended attachment/stress on NP 1:
gmean 0.007 gsqsum,msw 0.000 gcnt 17
MSB 3.040 MSW 0.000 df1 (17-2) df2 (3-1)
F 8462224748183685525997747175424.000
Intended attachment/stress on NP 2:
gmean 0.007 gsqsum,msw 0.000 gcnt 14
MSB 3.040 MSW 0.000 df1 (14-2) df2 (3-1)
F 12110479805436337124605662593024.000
Intended attachment/stress on NP 3:
gmean -0.014 gsqsum,msw 9.387 gcnt 17
MSB 2.374 MSW 9.387 df1 (17-2) df2 (3-1)
F 1.771
Reading taalperc.log
Results of lenneke%28mirte%29
Normalizing Subject 1 ... Sum 528.000 in 144.000, Adjust: add -3.667
Variance is 0.88889 Standard Deviation is 0.94281, Adjust: multiply by 1.06066
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: 1.414 std dev: 0.000 data points: 13 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: -0.707 std dev: 0.000 data points: 13 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: -0.707 std dev: 0.000 data points: 13 sum of squared diff: 0.000
Intended attachment/stress on NP 2:
Perceived attachment/stress for NP 1:
mean: -0.707 std dev: 0.000 data points: 20 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: 1.414 std dev: 0.000 data points: 20 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: -0.707 std dev: 0.000 data points: 20 sum of squared diff: 0.000
Intended attachment/stress on NP 3:
Perceived attachment/stress for NP 1:
mean: -0.707 std dev: 0.000 data points: 15 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: -0.707 std dev: 0.000 data points: 15 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: 1.414 std dev: 0.000 data points: 15 sum of squared diff: 0.000
Without RC:
Intended attachment/stress on NP 1:
gmean 0.000 gsqsum,msw 0.000 gcnt 13
MSB 3.000 MSW 0.000 df1 (13-2) df2 (3-1)
F 7800926770635277428701169451008.000
Intended attachment/stress on NP 2:
gmean 0.000 gsqsum,msw 0.000 gcnt 20
MSB 3.000 MSW 0.000 df1 (20-2) df2 (3-1)
F 8620024081551976593496203067392.000
Intended attachment/stress on NP 3:
gmean 0.000 gsqsum,msw 0.000 gcnt 15
MSB 3.000 MSW 0.000 df1 (15-2) df2 (3-1)
F 12169445762191031077405965942784.000
Reading taalperc.log
Results of auke%28mirte%29
Normalizing Subject 1 ... Sum 523.000 in 144.000, Adjust: add -3.632
Variance is 0.82981 Standard Deviation is 0.91094, Adjust: multiply by 1.09777
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: 1.502 std dev: 0.000 data points: 18 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: -0.694 std dev: 0.000 data points: 18 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: -0.694 std dev: 0.000 data points: 18 sum of squared diff: 0.000
Intended attachment/stress on NP 2:
Perceived attachment/stress for NP 1:
mean: -0.694 std dev: 0.000 data points: 14 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: 1.502 std dev: 0.000 data points: 14 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: -0.694 std dev: 0.000 data points: 14 sum of squared diff: 0.000
Intended attachment/stress on NP 3:
Perceived attachment/stress for NP 1:
mean: -0.488 std dev: 0.578 data points: 16 sum of squared diff: 5.348
Perceived attachment/stress for NP 2:
mean: -0.282 std dev: 0.857 data points: 16 sum of squared diff: 11.750
Perceived attachment/stress for NP 3:
mean: 0.541 std dev: 0.941 data points: 16 sum of squared diff: 14.160
Without RC:
Intended attachment/stress on NP 1:
gmean 0.038 gsqsum,msw 0.000 gcnt 18
MSB 3.214 MSW 0.000 df1 (18-2) df2 (3-1)
F 54315885077948977208944874225664.000
Intended attachment/stress on NP 2:
gmean 0.038 gsqsum,msw 0.000 gcnt 14
MSB 3.214 MSW 0.000 df1 (14-2) df2 (3-1)
F 51212120216351879672229110218752.000
Intended attachment/stress on NP 3:
gmean -0.076 gsqsum,msw 31.257 gcnt 16
MSB 0.593 MSW 31.257 df1 (16-2) df2 (3-1)
F 0.123
Reading taalperc.log
Results of Lies
Normalizing Subject 1 ... Sum 528.000 in 144.000, Adjust: add -3.667
Variance is 0.88889 Standard Deviation is 0.94281, Adjust: multiply by 1.06066
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: 1.414 std dev: 0.000 data points: 13 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: -0.707 std dev: 0.000 data points: 13 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: -0.707 std dev: 0.000 data points: 13 sum of squared diff: 0.000
Intended attachment/stress on NP 2:
Perceived attachment/stress for NP 1:
mean: -0.707 std dev: 0.000 data points: 20 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: 1.414 std dev: 0.000 data points: 20 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: -0.707 std dev: 0.000 data points: 20 sum of squared diff: 0.000
Intended attachment/stress on NP 3:
Perceived attachment/stress for NP 1:
mean: -0.707 std dev: 0.000 data points: 15 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: -0.707 std dev: 0.000 data points: 15 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: 1.414 std dev: 0.000 data points: 15 sum of squared diff: 0.000
Without RC:
Intended attachment/stress on NP 1:
gmean 0.000 gsqsum,msw 0.000 gcnt 13
MSB 3.000 MSW 0.000 df1 (13-2) df2 (3-1)
F 7800926770635277428701169451008.000
Intended attachment/stress on NP 2:
gmean 0.000 gsqsum,msw 0.000 gcnt 20
MSB 3.000 MSW 0.000 df1 (20-2) df2 (3-1)
F 8620024081551976593496203067392.000
Intended attachment/stress on NP 3:
gmean 0.000 gsqsum,msw 0.000 gcnt 15
MSB 3.000 MSW 0.000 df1 (15-2) df2 (3-1)
F 12169445762191031077405965942784.000
Reading taalperc.log
Results of Jorrit-Sanne
Normalizing Subject 1 ... Sum 528.000 in 144.000, Adjust: add -3.667
Variance is 0.88889 Standard Deviation is 0.94281, Adjust: multiply by 1.06066
Calculating mean and standard deviation per
Storing the overall results in results-perc.txt
With RC:
Intended attachment/stress on NP 1:
Perceived attachment/stress for NP 1:
mean: 0.088 std dev: 1.027 data points: 8 sum of squared diff: 8.438
Perceived attachment/stress for NP 2:
mean: -0.707 std dev: 0.000 data points: 8 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: 0.619 std dev: 1.027 data points: 8 sum of squared diff: 8.438
Intended attachment/stress on NP 2:
Perceived attachment/stress for NP 1:
mean: 0.416 std dev: 1.059 data points: 17 sum of squared diff: 19.059
Perceived attachment/stress for NP 2:
mean: -0.458 std dev: 0.683 data points: 17 sum of squared diff: 7.941
Perceived attachment/stress for NP 3:
mean: 0.042 std dev: 1.014 data points: 17 sum of squared diff: 17.471
Intended attachment/stress on NP 3:
Perceived attachment/stress for NP 1:
mean: -0.061 std dev: 0.976 data points: 23 sum of squared diff: 21.913
Perceived attachment/stress for NP 2:
mean: -0.061 std dev: 0.976 data points: 23 sum of squared diff: 21.913
Perceived attachment/stress for NP 3:
mean: 0.123 std dev: 1.035 data points: 23 sum of squared diff: 24.652
With RC:
Intended attachment/stress on NP 1:
gmean 0.000 gsqsum,msw 16.875 gcnt 8
MSB 0.891 MSW 16.875 df1 (8-2) df2 (3-1)
F 0.132
Intended attachment/stress on NP 2:
gmean 0.000 gsqsum,msw 44.471 gcnt 17
MSB 0.384 MSW 44.471 df1 (17-2) df2 (3-1)
F 0.060
Intended attachment/stress on NP 3:
gmean 0.000 gsqsum,msw 68.478 gcnt 23
MSB 0.023 MSW 68.478 df1 (23-2) df2 (3-1)
F 0.003
Reading taalperc.log
Results of Lenneke-Sarah
Normalizing Subject 1 ... Sum 528.000 in 144.000, Adjust: add -3.667
Variance is 0.88889 Standard Deviation is 0.94281, Adjust: multiply by 1.06066
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: 1.414 std dev: 0.000 data points: 13 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: -0.707 std dev: 0.000 data points: 13 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: -0.707 std dev: 0.000 data points: 13 sum of squared diff: 0.000
Intended attachment/stress on NP 2:
Perceived attachment/stress for NP 1:
mean: -0.707 std dev: 0.000 data points: 20 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: 1.414 std dev: 0.000 data points: 20 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: -0.707 std dev: 0.000 data points: 20 sum of squared diff: 0.000
Intended attachment/stress on NP 3:
Perceived attachment/stress for NP 1:
mean: -0.707 std dev: 0.000 data points: 15 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: -0.707 std dev: 0.000 data points: 15 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: 1.414 std dev: 0.000 data points: 15 sum of squared diff: 0.000
Without RC:
Intended attachment/stress on NP 1:
gmean 0.000 gsqsum,msw 0.000 gcnt 13
MSB 3.000 MSW 0.000 df1 (13-2) df2 (3-1)
F 7800926770635277428701169451008.000
Intended attachment/stress on NP 2:
gmean 0.000 gsqsum,msw 0.000 gcnt 20
MSB 3.000 MSW 0.000 df1 (20-2) df2 (3-1)
F 8620024081551976593496203067392.000
Intended attachment/stress on NP 3:
gmean 0.000 gsqsum,msw 0.000 gcnt 15
MSB 3.000 MSW 0.000 df1 (15-2) df2 (3-1)
F 12169445762191031077405965942784.000
Reading taalperc.log
Results of Jorrit-Sarah
Normalizing Subject 1 ... Sum 527.000 in 144.000, Adjust: add -3.660
Variance is 0.87727 Standard Deviation is 0.93663, Adjust: multiply by 1.06766
Calculating mean and standard deviation per
Storing the overall results in results-perc.txt
With RC:
Intended attachment/stress on NP 1:
Perceived attachment/stress for NP 1:
mean: 0.363 std dev: 1.068 data points: 8 sum of squared diff: 9.119
Perceived attachment/stress for NP 2:
mean: -0.437 std dev: 0.706 data points: 8 sum of squared diff: 3.990
Perceived attachment/stress for NP 3:
mean: 0.096 std dev: 1.034 data points: 8 sum of squared diff: 8.549
Intended attachment/stress on NP 2:
Perceived attachment/stress for NP 1:
mean: 0.049 std dev: 1.020 data points: 17 sum of squared diff: 17.702
Perceived attachment/stress for NP 2:
mean: 0.049 std dev: 1.020 data points: 17 sum of squared diff: 17.702
Perceived attachment/stress for NP 3:
mean: -0.076 std dev: 0.973 data points: 17 sum of squared diff: 16.093
Intended attachment/stress on NP 3:
Perceived attachment/stress for NP 1:
mean: -0.426 std dev: 0.719 data points: 23 sum of squared diff: 11.895
Perceived attachment/stress for NP 2:
mean: -0.147 std dev: 0.938 data points: 23 sum of squared diff: 20.221
Perceived attachment/stress for NP 3:
mean: 0.549 std dev: 1.028 data points: 23 sum of squared diff: 24.285
With RC:
Intended attachment/stress on NP 1:
gmean 0.007 gsqsum,msw 21.658 gcnt 8
MSB 0.332 MSW 21.658 df1 (8-2) df2 (3-1)
F 0.038
Intended attachment/stress on NP 2:
gmean 0.007 gsqsum,msw 51.497 gcnt 17
MSB 0.011 MSW 51.497 df1 (17-2) df2 (3-1)
F 0.001
Intended attachment/stress on NP 3:
gmean -0.008 gsqsum,msw 56.400 gcnt 23
MSB 0.504 MSW 56.400 df1 (23-2) df2 (3-1)
F 0.089
Reading taalperc.log
Results of Remco-Sarah
Normalizing Subject 1 ... Sum 527.000 in 144.000, Adjust: add -3.660
Variance is 0.87727 Standard Deviation is 0.93663, Adjust: multiply by 1.06766
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: 1.312 std dev: 0.489 data points: 18 sum of squared diff: 4.306
Perceived attachment/stress for NP 2:
mean: -0.645 std dev: 0.245 data points: 18 sum of squared diff: 1.077
Perceived attachment/stress for NP 3:
mean: -0.704 std dev: 0.000 data points: 18 sum of squared diff: 0.000
Intended attachment/stress on NP 2:
Perceived attachment/stress for NP 1:
mean: -0.704 std dev: 0.000 data points: 14 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: 1.431 std dev: 0.000 data points: 14 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: -0.704 std dev: 0.000 data points: 14 sum of squared diff: 0.000
Intended attachment/stress on NP 3:
Perceived attachment/stress for NP 1:
mean: -0.704 std dev: 0.000 data points: 16 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: -0.704 std dev: 0.000 data points: 16 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: 1.431 std dev: 0.000 data points: 16 sum of squared diff: 0.000
Without RC:
Intended attachment/stress on NP 1:
gmean -0.012 gsqsum,msw 5.383 gcnt 18
MSB 2.634 MSW 5.383 df1 (18-2) df2 (3-1)
F 3.670
Intended attachment/stress on NP 2:
gmean 0.007 gsqsum,msw 0.000 gcnt 14
MSB 3.040 MSW 0.000 df1 (14-2) df2 (3-1)
F 12110479805436337124605662593024.000
Intended attachment/stress on NP 3:
gmean 0.007 gsqsum,msw 0.000 gcnt 16
MSB 3.040 MSW 0.000 df1 (16-2) df2 (3-1)
F 8348891381020510341954988408832.000
Reading taalperc.log
Results of Suzanne-Sarah
Normalizing Subject 1 ... Sum 527.000 in 144.000, Adjust: add -3.660
Variance is 0.87727 Standard Deviation is 0.93663, Adjust: multiply by 1.06766
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: 1.305 std dev: 0.502 data points: 17 sum of squared diff: 4.291
Perceived attachment/stress for NP 2:
mean: -0.579 std dev: 0.502 data points: 17 sum of squared diff: 4.291
Perceived attachment/stress for NP 3:
mean: -0.704 std dev: 0.000 data points: 17 sum of squared diff: 0.000
Intended attachment/stress on NP 2:
Perceived attachment/stress for NP 1:
mean: -0.704 std dev: 0.000 data points: 14 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: 1.431 std dev: 0.000 data points: 14 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: -0.704 std dev: 0.000 data points: 14 sum of squared diff: 0.000
Intended attachment/stress on NP 3:
Perceived attachment/stress for NP 1:
mean: -0.516 std dev: 0.548 data points: 17 sum of squared diff: 5.096
Perceived attachment/stress for NP 2:
mean: -0.704 std dev: 0.000 data points: 17 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: 1.180 std dev: 0.688 data points: 17 sum of squared diff: 8.046
Without RC:
Intended attachment/stress on NP 1:
gmean 0.007 gsqsum,msw 8.583 gcnt 17
MSB 2.535 MSW 8.583 df1 (17-2) df2 (3-1)
F 2.067
Intended attachment/stress on NP 2:
gmean 0.007 gsqsum,msw 0.000 gcnt 14
MSB 3.040 MSW 0.000 df1 (14-2) df2 (3-1)
F 12110479805436337124605662593024.000
Intended attachment/stress on NP 3:
gmean -0.014 gsqsum,msw 13.142 gcnt 17
MSB 2.154 MSW 13.142 df1 (17-2) df2 (3-1)
F 1.147
Reading taalperc.log
Results of Lies-Sarah
Normalizing Subject 1 ... Sum 528.000 in 144.000, Adjust: add -3.667
Variance is 0.88889 Standard Deviation is 0.94281, Adjust: multiply by 1.06066
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: 1.414 std dev: 0.000 data points: 13 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: -0.707 std dev: 0.000 data points: 13 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: -0.707 std dev: 0.000 data points: 13 sum of squared diff: 0.000
Intended attachment/stress on NP 2:
Perceived attachment/stress for NP 1:
mean: -0.707 std dev: 0.000 data points: 20 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: 1.414 std dev: 0.000 data points: 20 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: -0.707 std dev: 0.000 data points: 20 sum of squared diff: 0.000
Intended attachment/stress on NP 3:
Perceived attachment/stress for NP 1:
mean: -0.707 std dev: 0.000 data points: 15 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: -0.707 std dev: 0.000 data points: 15 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: 1.414 std dev: 0.000 data points: 15 sum of squared diff: 0.000
Without RC:
Intended attachment/stress on NP 1:
gmean 0.000 gsqsum,msw 0.000 gcnt 13
MSB 3.000 MSW 0.000 df1 (13-2) df2 (3-1)
F 7800926770635277428701169451008.000
Intended attachment/stress on NP 2:
gmean 0.000 gsqsum,msw 0.000 gcnt 20
MSB 3.000 MSW 0.000 df1 (20-2) df2 (3-1)
F 8620024081551976593496203067392.000
Intended attachment/stress on NP 3:
gmean 0.000 gsqsum,msw 0.000 gcnt 15
MSB 3.000 MSW 0.000 df1 (15-2) df2 (3-1)
F 12169445762191031077405965942784.000
Reading taalperc.log
Results of Donijs-Sarah
Normalizing Subject 1 ... Sum 527.000 in 144.000, Adjust: add -3.660
Variance is 0.87727 Standard Deviation is 0.93663, Adjust: multiply by 1.06766
Calculating mean and standard deviation per
Storing the overall results in results-perc.txt
With RC:
Intended attachment/stress on NP 1:
Perceived attachment/stress for NP 1:
mean: 1.237 std dev: 0.614 data points: 22 sum of squared diff: 8.290
Perceived attachment/stress for NP 2:
mean: -0.704 std dev: 0.000 data points: 22 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: -0.510 std dev: 0.614 data points: 22 sum of squared diff: 8.290
Intended attachment/stress on NP 2:
Perceived attachment/stress for NP 1:
mean: -0.328 std dev: 0.814 data points: 17 sum of squared diff: 11.265
Perceived attachment/stress for NP 2:
mean: 0.740 std dev: 0.965 data points: 17 sum of squared diff: 15.825
Perceived attachment/stress for NP 3:
mean: -0.453 std dev: 0.688 data points: 17 sum of squared diff: 8.046
Intended attachment/stress on NP 3:
Perceived attachment/stress for NP 1:
mean: -0.704 std dev: 0.000 data points: 9 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: -0.704 std dev: 0.000 data points: 9 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: 1.431 std dev: 0.000 data points: 9 sum of squared diff: 0.000
With RC:
Intended attachment/stress on NP 1:
gmean 0.007 gsqsum,msw 16.580 gcnt 22
MSB 2.286 MSW 16.580 df1 (22-2) df2 (3-1)
F 1.310
Intended attachment/stress on NP 2:
gmean -0.014 gsqsum,msw 35.136 gcnt 17
MSB 0.860 MSW 35.136 df1 (17-2) df2 (3-1)
F 0.171
Intended attachment/stress on NP 3:
gmean 0.007 gsqsum,msw 0.000 gcnt 9
MSB 3.040 MSW 0.000 df1 (9-2) df2 (3-1)
F 20551117245588936408967128547328.000
Reading taalperc.log
Results of Jacob-Sarah
Normalizing Subject 1 ... Sum 527.000 in 144.000, Adjust: add -3.660
Variance is 0.87727 Standard Deviation is 0.93663, Adjust: multiply by 1.06766
Calculating mean and standard deviation per
Storing the overall results in results-perc.txt
With RC:
Intended attachment/stress on NP 1:
Perceived attachment/stress for NP 1:
mean: 1.312 std dev: 0.489 data points: 18 sum of squared diff: 4.306
Perceived attachment/stress for NP 2:
mean: -0.704 std dev: 0.000 data points: 18 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: -0.586 std dev: 0.489 data points: 18 sum of squared diff: 4.306
Intended attachment/stress on NP 2:
Perceived attachment/stress for NP 1:
mean: -0.704 std dev: 0.000 data points: 14 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: 1.126 std dev: 0.747 data points: 14 sum of squared diff: 7.816
Perceived attachment/stress for NP 3:
mean: -0.399 std dev: 0.747 data points: 14 sum of squared diff: 7.816
Intended attachment/stress on NP 3:
Perceived attachment/stress for NP 1:
mean: -0.638 std dev: 0.258 data points: 16 sum of squared diff: 1.069
Perceived attachment/stress for NP 2:
mean: -0.571 std dev: 0.517 data points: 16 sum of squared diff: 4.275
Perceived attachment/stress for NP 3:
mean: 1.164 std dev: 0.706 data points: 16 sum of squared diff: 7.979
With RC:
Intended attachment/stress on NP 1:
gmean 0.007 gsqsum,msw 8.613 gcnt 18
MSB 2.561 MSW 8.613 df1 (18-2) df2 (3-1)
F 2.230
Intended attachment/stress on NP 2:
gmean 0.007 gsqsum,msw 15.633 gcnt 14
MSB 1.923 MSW 15.633 df1 (14-2) df2 (3-1)
F 0.677
Intended attachment/stress on NP 3:
gmean -0.015 gsqsum,msw 13.323 gcnt 16
MSB 2.087 MSW 13.323 df1 (16-2) df2 (3-1)
F 1.018
Reading taalperc.log
Results of Jos-Sarah
Normalizing Subject 1 ... Sum 527.000 in 144.000, Adjust: add -3.660
Variance is 0.87727 Standard Deviation is 0.93663, Adjust: multiply by 1.06766
Calculating mean and standard deviation per
Storing the overall results in results-perc.txt
With RC:
Intended attachment/stress on NP 1:
Perceived attachment/stress for NP 1:
mean: 1.431 std dev: 0.000 data points: 18 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: -0.704 std dev: 0.000 data points: 18 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: -0.704 std dev: 0.000 data points: 18 sum of squared diff: 0.000
Intended attachment/stress on NP 2:
Perceived attachment/stress for NP 1:
mean: 0.058 std dev: 1.023 data points: 14 sum of squared diff: 14.656
Perceived attachment/stress for NP 2:
mean: 0.363 std dev: 1.068 data points: 14 sum of squared diff: 15.959
Perceived attachment/stress for NP 3:
mean: -0.399 std dev: 0.747 data points: 14 sum of squared diff: 7.816
Intended attachment/stress on NP 3:
Perceived attachment/stress for NP 1:
mean: -0.171 std dev: 0.925 data points: 16 sum of squared diff: 13.679
Perceived attachment/stress for NP 2:
mean: -0.371 std dev: 0.728 data points: 16 sum of squared diff: 8.478
Perceived attachment/stress for NP 3:
mean: 0.497 std dev: 1.059 data points: 16 sum of squared diff: 17.953
With RC:
Intended attachment/stress on NP 1:
gmean 0.007 gsqsum,msw 0.000 gcnt 18
MSB 3.040 MSW 0.000 df1 (18-2) df2 (3-1)
F 4281482759497697712301267746816.000
Intended attachment/stress on NP 2:
gmean 0.007 gsqsum,msw 38.431 gcnt 14
MSB 0.295 MSW 38.431 df1 (14-2) df2 (3-1)
F 0.042
Intended attachment/stress on NP 3:
gmean -0.015 gsqsum,msw 40.110 gcnt 16
MSB 0.413 MSW 40.110 df1 (16-2) df2 (3-1)
F 0.067
Reading taalperc.log
Results of Marga-Sarah
Normalizing Subject 1 ... 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
With RC:
Intended attachment/stress on NP 1:
Perceived attachment/stress for NP 1:
mean: 1.437 std dev: 0.000 data points: 22 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: -0.696 std dev: 0.000 data points: 22 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: -0.696 std dev: 0.000 data points: 22 sum of squared diff: 0.000
Intended attachment/stress on NP 2:
Perceived attachment/stress for NP 1:
mean: -0.696 std dev: 0.000 data points: 17 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: 1.437 std dev: 0.000 data points: 17 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: -0.696 std dev: 0.000 data points: 17 sum of squared diff: 0.000
Intended attachment/stress on NP 3:
Perceived attachment/stress for NP 1:
mean: -0.696 std dev: 0.000 data points: 9 sum of squared diff: 0.000
Perceived attachment/stress for NP 2:
mean: -0.696 std dev: 0.000 data points: 9 sum of squared diff: 0.000
Perceived attachment/stress for NP 3:
mean: 1.200 std dev: 0.670 data points: 9 sum of squared diff: 4.043
With RC:
Intended attachment/stress on NP 1:
gmean 0.015 gsqsum,msw 0.000 gcnt 22
MSB 3.032 MSW 0.000 df1 (22-2) df2 (3-1)
F 1562196588535790578010356187136.000
Intended attachment/stress on NP 2:
gmean 0.015 gsqsum,msw 0.000 gcnt 17
MSB 3.032 MSW 0.000 df1 (17-2) df2 (3-1)
F 4220671484815996070792852930560.000
Intended attachment/stress on NP 3:
gmean -0.064 gsqsum,msw 4.043 gcnt 9
MSB 2.396 MSW 4.043 df1 (9-2) df2 (3-1)
F 1.778