overall
Средние для группы 1
## Beck Ak-As Bo Ca To-As Sp-As Ak To
## 11.50000 45.17857 56.75000 52.60714 49.71429 31.71429 40.89286 45.96429
## Sp Us Ud Po
## 56.14286 54.35714 54.10714 51.28571
Средние для группы 2
## Beck Ak-As Bo Ca To-As Sp-As Ak To Sp Us Ud Po
## 11.05 43.30 53.45 53.25 59.40 30.50 41.45 54.50 57.50 54.15 55.80 54.60
Средние для группы 3
## Beck Ak-As Bo Ca To-As Sp-As Ak To Sp Us Ud Po
## 4.75 51.00 58.20 57.65 57.10 28.45 44.15 53.15 60.95 58.90 60.05 56.50
Beck - ок
##
## Kruskal-Wallis rank sum test
##
## data: data1$Beck by data1$Status
## Kruskal-Wallis chi-squared = 18.557, df = 2, p-value = 0.00009342
## Comparison Z P.unadj P.adj
## 1 1.0 - 2.0 0.886174 0.37552375920 1.0000000000
## 2 1.0 - 3.0 4.244051 0.00002195203 0.0000658561
## 3 2.0 - 3.0 2.992314 0.00276870989 0.0083061297
Ak-As - плохо
##
## Kruskal-Wallis rank sum test
##
## data: data2$`Ak-As` by data2$Status
## Kruskal-Wallis chi-squared = 3.3666, df = 2, p-value = 0.1858
## Comparison Z P.unadj P.adj
## 1 1.0 - 2.0 0.3940109 0.69357302 1.0000000
## 2 1.0 - 3.0 -1.4648805 0.14295352 0.4288606
## 3 2.0 - 3.0 -1.7209990 0.08525101 0.2557530
Bo - ок
##
## Kruskal-Wallis rank sum test
##
## data: data3$Bo by data3$Status
## Kruskal-Wallis chi-squared = 6.3081, df = 2, p-value = 0.04268
## Comparison Z P.unadj P.adj
## 1 1.0 - 2.0 1.510554 0.13090203 0.39270608
## 2 1.0 - 3.0 -1.194694 0.23220649 0.69661948
## 3 2.0 - 3.0 -2.504574 0.01225991 0.03677973
Ca - ок
##
## Kruskal-Wallis rank sum test
##
## data: data4$Ca by data4$Status
## Kruskal-Wallis chi-squared = 6.083, df = 2, p-value = 0.04776
## Comparison Z P.unadj P.adj
## 1 1.0 - 2.0 0.3829735 0.70173941 1.00000000
## 2 1.0 - 3.0 -2.0553118 0.03984890 0.11954671
## 3 2.0 - 3.0 -2.2574135 0.02398225 0.07194675
To-As - ок
##
## Kruskal-Wallis rank sum test
##
## data: data5$`To-As` by data5$Status
## Kruskal-Wallis chi-squared = 15.517, df = 2, p-value = 0.0004271
## Comparison Z P.unadj P.adj
## 1 1.0 - 2.0 -3.6008597 0.0003171667 0.000951500
## 2 1.0 - 3.0 -2.9522231 0.0031549486 0.009464846
## 3 2.0 - 3.0 0.6005208 0.5481592052 1.000000000
Sp-As - плохо
##
## Kruskal-Wallis rank sum test
##
## data: data6$`Sp-As` by data6$Status
## Kruskal-Wallis chi-squared = 4.656, df = 2, p-value = 0.09749
## Comparison Z P.unadj P.adj
## 1 1.0 - 2.0 0.6465757 0.51790659 1.00000000
## 2 1.0 - 3.0 2.1408152 0.03228894 0.09686682
## 3 2.0 - 3.0 1.3833970 0.16654317 0.49962951
Ak - плохо
##
## Kruskal-Wallis rank sum test
##
## data: data7$Ak by data7$Status
## Kruskal-Wallis chi-squared = 0.63844, df = 2, p-value = 0.7267
## Comparison Z P.unadj P.adj
## 1 1.0 - 2.0 0.2187586 0.8268381 1
## 2 1.0 - 3.0 -0.6074567 0.5435479 1
## 3 2.0 - 3.0 -0.7649267 0.4443152 1
To - ок
##
## Kruskal-Wallis rank sum test
##
## data: data8$To by data8$Status
## Kruskal-Wallis chi-squared = 8.4322, df = 2, p-value = 0.01476
## Comparison Z P.unadj P.adj
## 1 1.0 - 2.0 -2.3792707 0.01734693 0.05204080
## 2 1.0 - 3.0 -2.5046906 0.01225586 0.03676757
## 3 2.0 - 3.0 -0.1161162 0.90756042 1.00000000
Sp - плохо
##
## Kruskal-Wallis rank sum test
##
## data: data9$Sp by data9$Status
## Kruskal-Wallis chi-squared = 4.198, df = 2, p-value = 0.1226
## Comparison Z P.unadj P.adj
## 1 1.0 - 2.0 -0.4623906 0.64380124 1.0000000
## 2 1.0 - 3.0 -2.0071956 0.04472884 0.1341865
## 3 2.0 - 3.0 -1.4302115 0.15265633 0.4579690
Us - плохо
##
## Kruskal-Wallis rank sum test
##
## data: data10$Us by data10$Status
## Kruskal-Wallis chi-squared = 4.3408, df = 2, p-value = 0.1141
## Comparison Z P.unadj P.adj
## 1 1.0 - 2.0 -0.07967515 0.93649562 1.0000000
## 2 1.0 - 3.0 -1.92579172 0.05413039 0.1623912
## 3 2.0 - 3.0 -1.70917182 0.08741913 0.2622574
Ud - плохо
##
## Kruskal-Wallis rank sum test
##
## data: data11$Ud by data11$Status
## Kruskal-Wallis chi-squared = 2.9778, df = 2, p-value = 0.2256
## Comparison Z P.unadj P.adj
## 1 1.0 - 2.0 -0.7005879 0.48356026 1.0000000
## 2 1.0 - 3.0 -1.7255219 0.08443345 0.2533004
## 3 2.0 - 3.0 -0.9489046 0.34266914 1.0000000
Po - плохо
##
## Kruskal-Wallis rank sum test
##
## data: data12$Po by data12$Status
## Kruskal-Wallis chi-squared = 4.4064, df = 2, p-value = 0.1104
## Comparison Z P.unadj P.adj
## 1 1.0 - 2.0 -1.71508195 0.08633020 0.2589906
## 2 1.0 - 3.0 -1.81487529 0.06954308 0.2086292
## 3 2.0 - 3.0 -0.09239069 0.92638764 1.0000000
Личностные характеристики
средние для группы 1
## glo1 glo2 glo3 glo4 glo5 glo6
## 40.13333 43.33333 53.86667 46.06667 62.66667 60.66667
Средние для группы 2
## glo1 glo2 glo3 glo4 glo5 glo6
## 45.75 51.20 52.75 46.30 55.35 55.65
glo 1 - плохо
##
## Kruskal-Wallis rank sum test
##
## data: data_1$glo1 by data_1$status
## Kruskal-Wallis chi-squared = 1.8825, df = 1, p-value = 0.17
glo 2 - плохо
##
## Kruskal-Wallis rank sum test
##
## data: data_2$glo2 by data_2$status
## Kruskal-Wallis chi-squared = 0.87627, df = 1, p-value = 0.3492
glo 3 - плохо
##
## Kruskal-Wallis rank sum test
##
## data: data_3$glo3 by data_3$status
## Kruskal-Wallis chi-squared = 0.76319, df = 1, p-value = 0.3823
glo 4 - плохо
##
## Kruskal-Wallis rank sum test
##
## data: data_4$glo4 by data_4$status
## Kruskal-Wallis chi-squared = 0.09084, df = 1, p-value = 0.7631
glo 5 - ок
##
## Kruskal-Wallis rank sum test
##
## data: data_5$glo5 by data_5$status
## Kruskal-Wallis chi-squared = 3.9006, df = 1, p-value = 0.04827
glo 6 - ок
##
## Kruskal-Wallis rank sum test
##
## data: data_6$glo6 by data_6$status
## Kruskal-Wallis chi-squared = 4.1136, df = 1, p-value = 0.04254
Комплаентность
средние для группы 1
## SK EK PK ALL
## 26.46667 26.46667 24.20000 77.13333
Средние для группы 2
## SK EK PK ALL
## 28.45 26.90 26.60 81.40
SK - плохо
##
## Kruskal-Wallis rank sum test
##
## data: data.1$SK by data.1$status
## Kruskal-Wallis chi-squared = 0.6203, df = 1, p-value = 0.4309
EK - плохо
##
## Kruskal-Wallis rank sum test
##
## data: data.2$EK by data.2$status
## Kruskal-Wallis chi-squared = 0.071562, df = 1, p-value = 0.7891
PK - плохо
##
## Kruskal-Wallis rank sum test
##
## data: data.3$PK by data.3$status
## Kruskal-Wallis chi-squared = 1.531, df = 1, p-value = 0.216
ALL - плохо
##
## Kruskal-Wallis rank sum test
##
## data: data.4$ALL by data.4$status
## Kruskal-Wallis chi-squared = 1.1081, df = 1, p-value = 0.2925