Menarik Data

## Loading required package: MASS
## Loading required package: msm
## Loading required package: polycor
## 
## Attaching package: 'polycor'
## The following object is masked from 'package:psych':
## 
##     polyserial
## 
## Attaching package: 'ltm'
## The following object is masked from 'package:psych':
## 
##     factor.scores

Menguji Model Polytomous (Partial Credit Model)-Item Parameter

Model Rasch 1PL

## Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred
## 
## Call:
## gpcm(data = TPdata, constraint = c("1PL"))
## 
## Coefficients:
## $TP1
## Catgr.1  Catgr.2  Catgr.3  Catgr.4   Dscrmn  
##  -3.112   -2.738   -0.755    0.321    1.583  
## 
## $TP2
## Catgr.1  Catgr.2  Catgr.3  Catgr.4  Catgr.5   Dscrmn  
##  -1.429   -3.460   -2.261   -0.340    0.985    1.583  
## 
## $TP3
## Catgr.1  Catgr.2  Catgr.3  Catgr.4   Dscrmn  
##  -1.871   -3.107   -0.546    0.126    1.583  
## 
## $TP4
## Catgr.1  Catgr.2  Catgr.3  Catgr.4   Dscrmn  
##  -3.345   -2.499   -0.403    0.426    1.583  
## 
## $TP5
## Catgr.1  Catgr.2  Catgr.3  Catgr.4   Dscrmn  
##  -2.980   -2.906   -0.703    0.182    1.583  
## 
## $TP6
## Catgr.1  Catgr.2  Catgr.3  Catgr.4   Dscrmn  
##  -2.727   -1.623   -0.074    1.221    1.583  
## 
## $TP7
## Catgr.1  Catgr.2  Catgr.3  Catgr.4   Dscrmn  
##  -2.328   -2.547   -0.670    0.580    1.583  
## 
## 
## Log.Lik: -3624.069

Model General Partial Credit Model

## Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred
## Warning in gpcm(TPdata, constraint = c("gpcm")): Not successful convergence: 98.
## Warning in gpcm(TPdata, constraint = c("gpcm")): Hessian matrix at convergence is not positive definite; unstable solution.
## 
## Call:
## gpcm(data = TPdata, constraint = c("gpcm"))
## 
## Coefficients:
## $TP1
## Catgr.1  Catgr.2  Catgr.3  Catgr.4   Dscrmn  
## -10.678   -2.543   -0.776    0.370    1.910  
## 
## $TP2
## Catgr.1  Catgr.2  Catgr.3  Catgr.4  Catgr.5   Dscrmn  
##  -1.830   -3.110   -1.946   -0.339    0.928    2.520  
## 
## $TP3
## Catgr.1  Catgr.2  Catgr.3  Catgr.4   Dscrmn  
##  -1.961   -3.225   -0.553    0.102    1.302  
## 
## $TP4
## Catgr.1  Catgr.2  Catgr.3  Catgr.4   Dscrmn  
##  -4.050   -3.020   -0.380    0.395    1.145  
## 
## $TP5
## Catgr.1  Catgr.2  Catgr.3  Catgr.4   Dscrmn  
##  -2.739   -2.505   -0.691    0.241    2.523  
## 
## $TP6
## Catgr.1  Catgr.2  Catgr.3  Catgr.4   Dscrmn  
##  -3.258   -1.790   -0.056    1.340    1.224  
## 
## $TP7
## Catgr.1  Catgr.2  Catgr.3  Catgr.4   Dscrmn  
##  -2.664   -3.125   -0.735    0.646    1.022  
## 
## 
## Log.Lik: -3603.182

Model Rasch

## Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred
## 
## Call:
## gpcm(data = TPdata, constraint = c("rasch"))
## 
## Coefficients:
## $TP1
## Catgr.1  Catgr.2  Catgr.3  Catgr.4   Dscrmn  
##  -4.177   -3.775   -0.945    0.361    1.000  
## 
## $TP2
## Catgr.1  Catgr.2  Catgr.3  Catgr.4  Catgr.5   Dscrmn  
##  -1.475   -4.779   -3.100   -0.408    1.258    1.000  
## 
## $TP3
## Catgr.1  Catgr.2  Catgr.3  Catgr.4   Dscrmn  
##  -2.233   -4.377   -0.622    0.068    1.000  
## 
## $TP4
## Catgr.1  Catgr.2  Catgr.3  Catgr.4   Dscrmn  
##  -4.563   -3.443   -0.450    0.478    1.000  
## 
## $TP5
## Catgr.1  Catgr.2  Catgr.3  Catgr.4   Dscrmn  
##  -3.965   -4.037   -0.854    0.160    1.000  
## 
## $TP6
## Catgr.1  Catgr.2  Catgr.3  Catgr.4   Dscrmn  
##  -3.665   -2.173   -0.066    1.557    1.000  
## 
## $TP7
## Catgr.1  Catgr.2  Catgr.3  Catgr.4   Dscrmn  
##  -2.968   -3.505   -0.849    0.720    1.000  
## 
## 
## Log.Lik: -3668.126

Uji model dengan Anova

## 
##  Likelihood Ratio Table
## 
##          AIC     BIC  log.Lik   LRT df p.value
## fit1 7308.14 7434.76 -3624.07       30        
## fit2 7278.36 7430.30 -3603.18 41.77 36  <0.001
## 
##  Likelihood Ratio Table
## 
##          AIC     BIC  log.Lik    LRT df p.value
## fit3 7394.25 7516.65 -3668.13        29        
## fit2 7278.36 7430.30 -3603.18 129.89 36  <0.001
## 
##  Likelihood Ratio Table
## 
##          AIC     BIC  log.Lik   LRT df p.value
## fit3 7394.25 7516.65 -3668.13       29        
## fit1 7308.14 7434.76 -3624.07 88.11 30  <0.001

diambil loglike dan BIC terendah yakni fit 2 yakni general partial credit model

Plot IRT

Item Response Category Characteristic Curves for the TP data

## null device 
##           1

Item Information Curves for the TP data;

### Test Information Function for the TP data;

Tampilkan Hasil Analisa

There are several different patterns all with a score of 25
User TP1 TP2 TP3 TP4 TP5 TP6 TP7 score theta
user528 5 4 5 5 4 4 3 30 0.091
user530 5 5 5 5 5 4 5 34 0.948
user280 4 4 4 4 4 3 4 27 -0.369
user283 5 4 3 5 4 4 5 30 0.033
user290 3 3 3 3 4 3 4 23 -1.132
user299 3 4 4 5 3 4 3 26 -0.688
user306 3 3 3 3 3 3 3 21 -1.593
user307 4 4 5 4 4 4 5 30 -0.013
user309 4 3 3 5 4 3 4 26 -0.644
user54 3 3 3 5 5 3 4 26 -0.580
user313 5 5 5 5 5 4 4 33 0.800
user573 5 3 5 5 5 3 5 31 0.177
user62 4 3 3 4 3 3 4 24 -1.065
user320 4 4 5 4 4 4 4 29 -0.116
user65 4 4 5 5 4 4 5 31 0.104
user321 4 4 4 4 4 4 5 29 -0.144
user322 5 5 4 3 5 4 5 31 0.473
user323 5 4 4 4 4 4 4 29 -0.055
user594 5 4 5 5 5 4 4 32 0.479
user88 3 3 5 5 3 3 4 26 -0.845
user346 5 5 4 5 4 3 4 30 0.197
user602 3 4 5 4 4 3 5 28 -0.327
user869 5 4 4 5 5 4 4 31 0.331
user870 5 5 5 5 5 5 5 35 1.150
user104 5 5 5 5 5 4 5 34 0.948
user114 5 5 4 5 4 4 4 31 0.330
user371 3 5 3 3 4 2 3 23 -0.797
user374 5 3 5 4 4 2 4 27 -0.422
user381 5 4 5 5 5 5 5 34 0.762
user132 3 3 3 3 3 3 3 21 -1.593
user398 3 3 3 3 3 3 3 21 -1.593
user399 3 3 4 4 3 3 3 23 -1.273
user400 3 3 3 4 3 2 3 21 -1.603
user401 5 5 5 5 5 5 4 34 0.980
user405 4 4 4 4 4 4 4 28 -0.246
user407 4 4 5 5 4 3 5 30 -0.021
user408 5 4 3 3 5 2 1 23 -0.605
user409 4 4 4 3 4 4 2 25 -0.569
user410 4 4 5 4 5 4 4 30 0.142
user412 4 3 3 3 3 3 3 22 -1.344
user413 5 5 5 5 5 5 5 35 1.150
user416 4 4 4 3 3 4 5 27 -0.513
user674 5 5 3 3 5 3 4 28 0.085
user428 4 4 4 4 5 5 5 31 0.242
user944 3 4 3 3 3 2 3 21 -1.425
user177 3 3 3 3 3 3 3 21 -1.593
user689 3 3 3 2 3 2 4 20 -1.757
user179 4 2 3 3 4 2 3 21 -1.505
user182 3 3 3 3 3 3 3 21 -1.593
user183 4 4 4 3 3 3 3 24 -0.866
user951 4 4 4 4 5 3 5 29 -0.014
user697 5 4 5 4 5 4 4 31 0.348
user962 5 5 5 4 5 5 5 34 0.960
user211 4 5 5 4 5 4 4 31 0.417
user216 4 4 4 4 4 4 5 29 -0.144
user1017 4 4 4 4 3 4 4 27 -0.500
user6 3 3 4 3 3 3 4 23 -1.290
user1031 3 4 4 3 4 3 3 24 -0.797
user13 4 4 3 3 4 3 5 26 -0.513
user15 4 3 4 3 4 3 4 25 -0.751
user20 3 3 4 4 4 4 4 26 -0.701
user825 4 3 5 4 5 5 4 30 0.008
user570 4 4 4 5 4 4 4 29 -0.132
user78 4 3 3 3 3 3 3 22 -1.344
user596 5 5 5 5 5 5 5 35 1.150
user345 5 4 3 4 3 5 4 28 -0.315
user93 4 4 4 4 4 4 4 28 -0.246
user620 3 3 3 3 5 2 3 22 -1.097
user647 5 5 5 4 5 5 5 34 0.960
user648 4 4 5 5 5 4 5 32 0.377
user168 4 4 4 4 4 3 4 27 -0.369
user178 5 5 4 3 4 3 4 28 -0.040
user946 3 3 3 4 4 3 3 23 -1.116
user441 4 4 4 5 4 3 4 28 -0.254
user958 2 3 4 4 3 2 4 22 -1.550
user468 5 5 5 3 5 4 4 31 0.507
user260 4 4 4 3 4 4 5 28 -0.259
user270 5 3 4 4 4 3 3 26 -0.535
user57 3 3 3 4 4 2 3 22 -1.274
user315 5 4 4 5 5 4 5 32 0.447
user73 4 3 3 3 3 3 3 22 -1.344
user1097 5 2 3 3 5 2 5 25 -0.706
user1098 4 3 3 5 3 2 4 24 -1.074
user92 5 4 4 3 5 4 4 29 0.086
user97 5 5 2 5 5 5 4 31 0.460
user611 2 2 2 2 2 2 4 16 -2.425
user106 4 4 5 5 4 3 4 29 -0.124
user621 5 4 5 4 5 4 4 31 0.348
user629 4 3 5 5 4 3 4 28 -0.376
user643 4 3 3 4 4 3 3 24 -0.884
user143 5 4 5 4 4 4 5 31 0.185
user665 3 3 4 3 3 3 3 22 -1.424
user190 4 4 4 3 4 3 3 25 -0.590
user464 3 3 3 3 3 3 3 21 -1.593
user218 5 4 5 4 5 3 4 30 0.214
user1016 5 3 5 5 5 3 4 30 0.070
user1021 3 2 3 3 3 2 3 19 -2.008
user68 5 4 5 4 5 4 4 31 0.348
user853 5 2 4 3 4 4 5 27 -0.576
user857 4 3 5 3 2 3 3 23 -1.333
user559 5 5 4 4 5 4 4 31 0.488
user52 4 2 3 3 4 3 2 21 -1.478
user1076 5 4 4 3 4 4 4 28 -0.170
user566 5 5 5 5 5 5 5 35 1.150
user61 5 5 3 5 5 3 2 28 0.111
user952 5 5 5 5 5 5 5 35 1.150
user476 4 3 4 3 4 3 4 25 -0.751
user1019 5 4 5 5 5 4 5 33 0.603
user1020 5 4 5 5 5 4 5 33 0.603
user272 3 3 5 5 3 3 5 27 -0.731
user587 3 3 3 3 3 3 3 21 -1.593
user359 5 4 4 4 4 3 3 27 -0.280
user116 4 4 4 5 5 5 4 31 0.255
user644 4 4 4 3 4 4 4 27 -0.361
user654 2 2 3 5 3 2 3 20 -1.972
user655 3 3 3 3 3 3 3 21 -1.593
user950 3 4 4 3 4 3 5 26 -0.576
user957 3 3 3 3 3 3 3 21 -1.593
user450 3 3 3 3 3 4 3 22 -1.435
user963 3 2 3 4 3 3 3 21 -1.761
user232 4 3 5 4 5 3 3 27 -0.341
user496 4 3 4 4 4 1 3 23 -1.021
user771 5 5 5 3 5 5 5 33 0.794
user773 5 5 5 5 5 5 5 35 1.150
user12 5 4 5 5 5 4 5 33 0.603
user789 5 4 5 4 4 4 4 30 0.078
user798 4 3 4 4 3 3 4 25 -0.907
user799 4 3 4 3 3 5 1 23 -1.122
user58 4 3 4 3 4 4 4 26 -0.619
user582 4 5 5 4 5 5 5 33 0.691
user584 4 3 5 2 5 4 4 27 -0.345
user86 5 4 3 5 5 4 4 30 0.189
user87 5 4 5 5 5 4 5 33 0.603
user351 4 2 3 3 3 4 4 23 -1.380
user96 3 3 4 4 3 3 4 24 -1.141
user99 4 4 4 4 4 4 3 27 -0.349
user615 4 3 3 3 4 3 4 24 -0.899
user105 4 4 4 5 4 4 5 30 -0.029
user124 5 5 5 4 5 4 3 31 0.521
user396 3 3 3 4 3 3 4 23 -1.310
user417 4 4 4 4 4 3 4 27 -0.369
user948 4 4 4 4 4 4 4 28 -0.246
user187 5 4 5 4 5 4 4 31 0.348
user201 3 4 4 5 5 3 3 27 -0.295
user738 5 4 4 3 4 4 4 28 -0.170
user742 4 3 2 2 4 4 2 21 -1.307
user744 4 4 3 3 4 3 4 25 -0.620
user754 4 4 4 4 4 4 4 28 -0.246
user244 3 4 3 3 4 2 5 24 -0.851
user266 5 4 5 5 4 4 4 31 0.198
user549 3 4 3 5 5 4 4 28 -0.201
user60 4 4 5 5 4 2 3 27 -0.349
user319 4 3 3 4 3 3 4 24 -1.065
user72 5 5 5 5 5 4 5 34 0.948
user586 4 3 4 3 3 3 3 23 -1.174
user349 4 3 5 4 4 4 5 29 -0.266
user136 5 5 4 4 5 4 4 31 0.488
user138 0 0 5 2 0 5 4 16 0.144
user149 4 4 4 3 4 4 3 26 -0.464
user418 5 4 4 4 4 3 4 28 -0.178
user422 5 4 5 5 5 4 4 32 0.479
user448 4 4 4 5 5 4 5 31 0.233
user477 3 3 3 3 3 3 3 21 -1.593
user236 4 4 4 4 4 4 3 27 -0.349
user237 5 3 2 3 5 2 4 24 -0.685
user242 4 3 5 4 3 2 4 25 -0.898
user820 4 4 5 5 5 4 5 32 0.377
user567 5 4 5 4 5 2 4 29 0.085
user76 5 4 5 5 5 3 5 32 0.456
user630 4 3 3 3 5 3 2 23 -0.843
user185 5 3 4 3 3 3 3 24 -0.938
user705 3 3 3 3 3 3 3 21 -1.593
user730 5 3 5 3 5 5 4 30 0.086
user513 4 4 3 3 4 3 4 25 -0.620
user515 5 5 5 5 5 5 5 35 1.150
user518 3 3 5 4 4 3 4 26 -0.692
user520 4 4 5 4 5 4 4 30 0.142
user543 3 3 3 3 3 3 3 21 -1.593
user544 5 5 5 5 5 5 5 35 1.150
user545 3 3 3 3 3 3 3 21 -1.593
user560 5 5 5 5 5 5 5 35 1.150
user327 4 3 4 3 3 2 4 23 -1.200
user873 4 5 5 5 5 4 5 33 0.681
user875 5 5 5 4 5 4 4 32 0.648
user876 3 2 3 3 2 2 2 17 -2.282
user878 5 5 5 5 5 5 4 34 0.980
user880 5 5 4 4 5 5 5 33 0.772
user881 5 5 5 5 4 5 4 33 0.628
user882 3 3 3 3 5 1 3 21 -1.254
user885 5 4 4 3 3 3 4 26 -0.548
user886 3 5 3 5 5 3 3 27 -0.174
user887 5 4 4 4 5 3 3 28 -0.027
user632 3 3 4 5 5 4 5 29 -0.221
user888 3 3 3 4 4 2 4 23 -1.142
user889 3 3 5 3 3 3 4 24 -1.121
user890 4 4 4 4 4 4 4 28 -0.246
user891 5 4 5 4 5 4 5 32 0.465
user892 4 4 4 5 4 4 4 29 -0.132
user895 3 3 4 3 4 4 4 25 -0.828
user897 5 5 5 3 5 5 5 33 0.794
user898 5 4 4 5 4 4 4 30 0.062
user900 5 3 3 3 5 2 5 26 -0.443
user901 3 3 4 3 3 2 4 22 -1.451
user904 4 4 4 3 3 4 3 25 -0.729
user905 4 3 5 4 5 2 4 27 -0.361
user910 4 4 4 3 4 4 4 27 -0.361
user911 5 5 4 5 5 4 5 33 0.761
user915 5 4 4 5 4 4 4 30 0.062
user916 5 5 4 4 5 3 3 29 0.235
user917 5 4 5 5 4 3 5 31 0.176
user433 5 4 4 3 4 3 3 26 -0.395
user434 3 2 4 3 4 3 3 22 -1.424
user503 5 4 4 5 5 4 5 32 0.447
user509 4 4 4 5 5 5 5 32 0.368
user510 4 3 4 3 4 4 4 26 -0.619
user511 4 4 4 4 5 4 3 28 -0.096
user1037 4 4 5 5 4 4 5 31 0.104
user1040 2 3 5 3 3 3 3 22 -1.504
user553 5 5 5 5 5 5 5 35 1.150
user44 4 5 5 5 4 4 4 31 0.264
user46 2 3 3 3 3 3 3 20 -1.821
user302 5 5 5 5 5 5 5 35 1.150
user558 5 5 5 5 5 5 3 33 0.828
user55 4 4 5 5 5 4 4 31 0.264
user583 4 4 4 4 4 4 4 28 -0.246
user85 4 5 5 5 5 4 5 33 0.681
user599 5 3 5 3 4 3 5 28 -0.312
user606 5 5 5 5 5 5 4 34 0.980
user108 4 3 4 4 3 2 4 24 -1.055
user364 5 5 4 5 5 5 3 32 0.654
user128 4 4 4 4 4 4 4 28 -0.246
user129 3 3 4 5 3 3 5 26 -0.878
user385 4 4 3 4 4 4 5 28 -0.274
user134 4 4 4 3 4 3 3 25 -0.590
user393 4 4 5 5 5 5 4 32 0.400
user140 4 3 5 4 4 3 5 28 -0.389
user164 4 4 3 4 3 3 4 25 -0.769
user942 3 3 3 3 3 3 3 21 -1.593
user442 4 4 5 4 4 3 4 28 -0.239
user191 4 3 3 3 3 4 3 23 -1.184
user449 4 5 5 4 5 4 5 32 0.538
user712 4 4 5 5 3 4 4 29 -0.254
user713 3 3 1 3 3 3 4 20 -1.785
user459 3 1 1 2 2 3 3 15 -2.525
user231 5 4 5 5 4 4 5 32 0.309
user489 3 0 4 2 3 3 3 18 -1.266
user241 3 4 3 4 4 3 3 24 -0.814
user499 4 3 5 4 3 2 4 25 -0.898
user255 2 3 3 2 3 2 4 19 -1.962
user522 5 5 5 5 5 4 5 34 0.948
user523 5 5 5 5 5 3 5 33 0.772
user524 4 4 5 3 4 3 4 27 -0.353
user273 5 5 5 5 5 5 5 35 1.150
user275 4 3 3 4 4 3 3 24 -0.884
user276 5 4 4 5 4 4 5 31 0.168
user279 4 4 5 4 5 5 5 32 0.386
user1056 5 4 5 5 5 4 5 33 0.603
user33 5 5 5 5 5 5 3 33 0.828
user1062 3 3 3 3 3 1 2 18 -1.982
user1063 5 5 5 5 5 5 5 35 1.150
user1065 5 5 5 3 4 3 5 30 0.201
user1066 4 4 4 4 4 3 4 27 -0.369
user48 5 5 5 5 5 4 5 34 0.948
user562 4 4 4 4 4 5 4 29 -0.124
user1104 5 5 5 5 5 5 5 35 1.150
user1106 4 4 3 5 3 3 4 26 -0.644
user339 5 5 5 5 5 5 4 34 0.980
user341 5 5 5 5 5 5 5 35 1.150
user1109 4 4 4 4 4 4 4 28 -0.246
user343 4 4 4 5 5 4 4 30 0.125
user608 3 3 4 3 3 4 3 23 -1.263
user622 5 5 5 5 4 5 4 33 0.628
user387 5 5 4 5 3 5 5 32 0.300
user141 5 5 5 5 5 4 5 34 0.948
user144 4 4 3 3 4 4 3 25 -0.598
user146 5 4 4 5 5 4 5 32 0.447
user148 4 4 4 4 4 4 4 28 -0.246
user404 3 3 3 3 3 3 3 21 -1.593
user661 5 4 4 4 5 2 4 28 -0.048
user154 3 3 3 5 4 3 4 25 -0.855
user156 4 5 5 5 4 4 5 32 0.377
user158 4 4 5 5 4 4 4 30 -0.001
user927 5 4 5 4 5 3 4 30 0.214
user682 4 4 3 4 3 3 3 24 -0.885
user683 4 4 4 4 5 4 4 29 0.007
user693 5 3 2 5 5 4 5 29 -0.099
user438 4 4 4 5 5 4 5 31 0.233
user703 5 5 3 5 5 4 3 30 0.352
user451 4 4 4 4 4 4 4 28 -0.246
user456 2 2 1 3 4 4 4 20 -1.860
user968 5 5 5 5 5 5 5 35 1.150
user229 5 3 5 4 5 3 5 30 0.057
user230 5 5 5 5 4 4 4 32 0.479
user235 4 4 4 4 4 4 4 28 -0.246
user501 4 4 5 3 4 4 4 28 -0.231
user502 5 5 5 5 5 5 5 35 1.150
user249 3 3 3 3 3 3 3 21 -1.593
user250 5 5 5 3 5 5 5 33 0.794
user253 5 5 5 5 5 5 5 35 1.150
user35 3 3 3 3 3 2 4 21 -1.619
user557 4 4 5 4 4 4 3 28 -0.218
user700 4 3 3 2 3 3 3 21 -1.495
user208 3 3 5 5 5 3 3 27 -0.417
user538 4 4 4 4 4 5 4 29 -0.124
user548 5 5 5 5 5 5 5 35 1.150
user555 4 4 5 4 4 4 3 28 -0.218
user161 4 4 4 4 4 4 4 28 -0.246
user678 5 4 5 4 5 5 5 33 0.613
user715 4 4 5 4 4 3 5 29 -0.137
user298 4 3 4 4 5 4 5 29 -0.144
user80 5 4 5 5 5 4 5 33 0.603
user605 3 3 3 3 3 2 3 20 -1.743
user616 5 4 3 3 4 5 3 27 -0.280
user619 4 2 5 2 4 4 5 26 -0.764
user370 3 3 3 3 3 3 2 20 -1.719
user379 4 3 3 3 4 4 4 25 -0.760
user637 4 4 4 3 4 3 4 26 -0.485
user402 3 3 3 3 3 2 3 20 -1.743
user170 4 3 4 3 3 3 4 24 -1.045
user429 5 3 5 4 4 4 4 29 -0.177
user431 5 5 5 4 5 5 5 34 0.960
user188 5 5 5 5 5 5 5 35 1.150
user709 4 4 3 4 4 3 3 25 -0.607
user465 3 3 3 5 3 3 3 23 -1.294
user247 3 3 3 2 3 2 3 19 -1.871
user248 3 3 4 4 2 4 2 22 -1.577
user261 4 4 3 4 5 4 5 29 -0.021
user29 4 5 4 4 5 4 4 30 0.272
user289 5 3 3 4 4 3 4 26 -0.564
user293 5 5 5 5 5 2 3 30 0.370
user301 3 5 5 5 5 3 5 31 0.308
user64 4 4 4 4 4 4 4 28 -0.246
user66 3 3 5 5 3 4 4 27 -0.709
user77 5 4 4 3 4 4 3 27 -0.272
user122 3 3 4 4 3 3 3 23 -1.273
user126 3 3 3 3 4 3 3 22 -1.263
user150 3 3 3 4 4 3 3 23 -1.116
user419 5 4 5 5 4 4 5 32 0.309
user688 4 4 5 4 5 4 4 30 0.142
user444 3 3 4 4 4 3 3 24 -0.956
user210 3 3 4 4 3 3 3 23 -1.273
user212 4 3 5 4 5 2 5 28 -0.259
user219 4 4 4 4 4 4 4 28 -0.246
user239 5 5 5 5 5 5 5 35 1.150
user240 3 3 3 3 3 2 3 20 -1.743
user9 4 4 5 4 5 3 4 29 0.015
user297 3 3 5 3 4 4 3 25 -0.796
user45 3 3 5 5 3 3 5 27 -0.731
user348 4 4 3 3 4 3 4 25 -0.620
user354 4 4 4 4 4 4 3 27 -0.349
user377 4 4 5 5 5 5 3 31 0.286
user383 3 3 3 3 3 3 4 22 -1.461
user130 4 4 5 4 5 5 5 32 0.386
user390 3 3 4 3 3 3 4 23 -1.290
user662 3 2 3 2 2 1 4 17 -2.303
user687 4 4 5 4 4 4 4 29 -0.116
user546 3 3 3 3 3 3 3 21 -1.593
user823 4 4 4 4 4 4 4 28 -0.246
user414 3 4 4 4 4 4 4 27 -0.438
user426 5 5 5 5 5 5 5 35 1.150
user949 3 3 3 3 3 2 4 21 -1.619
user956 4 3 4 5 5 3 4 28 -0.254
user959 3 3 5 3 3 3 3 23 -1.253
user488 5 5 4 4 5 4 4 31 0.488
user23 5 5 5 5 5 5 5 35 1.150
user304 4 4 5 5 5 4 4 31 0.264
user311 3 4 4 5 5 3 5 29 -0.091
user639 4 4 3 5 5 3 5 29 -0.029
user646 4 3 3 4 3 3 3 23 -1.194
user667 3 2 3 3 2 2 4 19 -2.135
user1015 3 4 5 4 4 3 4 27 -0.430
user1032 4 3 4 5 3 3 3 25 -0.893
user1033 4 5 5 3 5 3 4 29 0.157
user534 3 3 1 4 3 4 3 21 -1.623
user107 4 4 4 4 4 4 4 28 -0.246
user623 2 2 3 3 4 3 3 20 -1.821
user625 4 3 3 2 3 3 3 21 -1.495
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