Deskriptiva

Column

Godina 2017.

Godina 2022.

Deskriptiva - slike

Column

Godina 2017.

Column

Godina 2022.

Korelacije

Column

Godina 2017.

Godina 2022.

Korelacije - slike

Column1

korelacije 2017.

p-vrijednosti 2017.

korelacije 2022.

p-vrijednosti 2022.

Column1

korelacije 2022.

p-vrijednosti 2022.

korelacije 2017.

p-vrijednosti 2017.

Unutarnja pouzdanost

Column

Cronbach alpha


Reliability analysis   
Call: psych::alpha(x = podaci_EFA)

  raw_alpha std.alpha G6(smc) average_r S/N    ase mean   sd median_r
      0.94      0.94    0.97      0.31  17 0.0053  3.6 0.67     0.29

 lower alpha upper     95% confidence boundaries
0.93 0.94 0.95 

 Reliability if an item is dropped:
                        raw_alpha std.alpha G6(smc) average_r S/N alpha se
RISK                         0.94      0.94    0.97      0.31  17   0.0054
SCHEDULE                     0.94      0.94    0.97      0.32  17   0.0054
CALENDAR                     0.94      0.94    0.97      0.32  17   0.0054
COURSES                      0.94      0.94    0.97      0.31  17   0.0054
NOTIFICATIONS_COURSE         0.94      0.94    0.97      0.32  17   0.0054
NOTIFICATIONS_DEADLINES      0.94      0.94    0.97      0.31  17   0.0054
MESSAGES_TEACHER             0.94      0.94    0.97      0.32  17   0.0054
MESSAGES_ADMIN               0.94      0.94    0.97      0.32  17   0.0053
COMPARISON_EXAMS             0.94      0.94    0.97      0.31  16   0.0055
COMPARISON_ECTS              0.94      0.94    0.97      0.31  16   0.0055
COMPARISON_GRADES            0.94      0.94    0.97      0.31  16   0.0055
COMPARISON_OBLIGATIONS       0.94      0.94    0.97      0.31  16   0.0055
STATUS_STUDENTS              0.94      0.94    0.97      0.32  17   0.0054
PREDICTION_COURSE            0.94      0.94    0.97      0.31  16   0.0056
PREDICTION_YEAR              0.94      0.94    0.97      0.31  16   0.0055
PREDICTION_OBLIGATIONS       0.94      0.94    0.97      0.31  16   0.0055
PREDICTION_ECTS              0.94      0.94    0.97      0.31  16   0.0056
PREDICTION_PROGRAM           0.94      0.94    0.97      0.31  16   0.0055
ECTSAVG_STUDY                0.94      0.94    0.97      0.31  16   0.0055
ECTSAVG_COURSE               0.94      0.94    0.97      0.31  16   0.0055
AVGGRADE_COURSE              0.94      0.94    0.97      0.31  16   0.0055
PASSRATE_COURSE              0.94      0.94    0.97      0.31  17   0.0055
PPLAN_COURSE                 0.94      0.94    0.97      0.31  16   0.0055
PPLAN_STUDY                  0.94      0.94    0.97      0.31  16   0.0055
PPLAN_MONITORING             0.94      0.94    0.97      0.31  16   0.0055
ECTS_MONITORING              0.94      0.94    0.97      0.31  16   0.0056
PPLAN_EXTRACURRICULAR        0.94      0.94    0.97      0.32  17   0.0054
TEACHER_EVALUATION           0.94      0.94    0.97      0.32  17   0.0053
TEACHER_PROFILE              0.94      0.94    0.97      0.32  17   0.0054
TEACHERS_CONTEVAL            0.94      0.94    0.97      0.32  17   0.0053
TEACHERS_FEEDBACK            0.94      0.94    0.97      0.32  17   0.0053
BADGES_COMPARISON            0.94      0.94    0.97      0.31  16   0.0055
BADGES_COLLECTING            0.94      0.94    0.97      0.31  16   0.0055
AWARDS                       0.94      0.94    0.97      0.31  16   0.0055
COMPETITIONS                 0.94      0.94    0.97      0.31  16   0.0055
STATUS_CURRENT               0.94      0.94    0.97      0.31  16   0.0055
COMPARISON_OTHERS            0.94      0.94    0.97      0.31  16   0.0055
                        var.r med.r
RISK                    0.023  0.29
SCHEDULE                0.023  0.29
CALENDAR                0.023  0.29
COURSES                 0.024  0.29
NOTIFICATIONS_COURSE    0.024  0.29
NOTIFICATIONS_DEADLINES 0.023  0.29
MESSAGES_TEACHER        0.024  0.29
MESSAGES_ADMIN          0.023  0.30
COMPARISON_EXAMS        0.022  0.29
COMPARISON_ECTS         0.023  0.29
COMPARISON_GRADES       0.022  0.29
COMPARISON_OBLIGATIONS  0.023  0.29
STATUS_STUDENTS         0.022  0.29
PREDICTION_COURSE       0.023  0.29
PREDICTION_YEAR         0.022  0.29
PREDICTION_OBLIGATIONS  0.023  0.29
PREDICTION_ECTS         0.022  0.29
PREDICTION_PROGRAM      0.023  0.29
ECTSAVG_STUDY           0.023  0.29
ECTSAVG_COURSE          0.023  0.29
AVGGRADE_COURSE         0.023  0.29
PASSRATE_COURSE         0.023  0.29
PPLAN_COURSE            0.023  0.29
PPLAN_STUDY             0.023  0.29
PPLAN_MONITORING        0.023  0.29
ECTS_MONITORING         0.023  0.29
PPLAN_EXTRACURRICULAR   0.024  0.29
TEACHER_EVALUATION      0.023  0.30
TEACHER_PROFILE         0.024  0.30
TEACHERS_CONTEVAL       0.023  0.30
TEACHERS_FEEDBACK       0.023  0.30
BADGES_COMPARISON       0.023  0.29
BADGES_COLLECTING       0.023  0.29
AWARDS                  0.023  0.29
COMPETITIONS            0.023  0.29
STATUS_CURRENT          0.023  0.29
COMPARISON_OTHERS       0.023  0.29

 Item statistics 
                          n raw.r std.r r.cor r.drop mean   sd
RISK                    222  0.55  0.56  0.54   0.51  4.0 1.07
SCHEDULE                222  0.42  0.45  0.43   0.39  4.3 0.92
CALENDAR                222  0.41  0.44  0.43   0.38  4.5 0.75
COURSES                 222  0.52  0.54  0.53   0.49  4.0 1.04
NOTIFICATIONS_COURSE    222  0.48  0.51  0.49   0.46  4.4 0.86
NOTIFICATIONS_DEADLINES 222  0.52  0.54  0.53   0.49  4.2 0.91
MESSAGES_TEACHER        222  0.46  0.48  0.46   0.43  4.1 0.86
MESSAGES_ADMIN          222  0.42  0.44  0.42   0.38  3.5 1.07
COMPARISON_EXAMS        222  0.64  0.62  0.62   0.60  3.1 1.24
COMPARISON_ECTS         222  0.65  0.63  0.63   0.62  2.9 1.31
COMPARISON_GRADES       222  0.62  0.60  0.59   0.58  3.0 1.28
COMPARISON_OBLIGATIONS  222  0.66  0.65  0.64   0.63  3.0 1.25
STATUS_STUDENTS         222  0.54  0.52  0.51   0.50  3.0 1.30
PREDICTION_COURSE       222  0.69  0.69  0.69   0.67  3.9 1.17
PREDICTION_YEAR         222  0.65  0.65  0.65   0.62  3.9 1.18
PREDICTION_OBLIGATIONS  222  0.65  0.66  0.66   0.62  4.1 1.22
PREDICTION_ECTS         222  0.71  0.71  0.71   0.69  3.9 1.25
PREDICTION_PROGRAM      222  0.62  0.63  0.62   0.59  4.0 1.17
ECTSAVG_STUDY           222  0.63  0.62  0.61   0.60  3.1 1.21
ECTSAVG_COURSE          222  0.63  0.62  0.62   0.60  3.2 1.14
AVGGRADE_COURSE         222  0.63  0.62  0.61   0.60  3.5 1.14
PASSRATE_COURSE         222  0.57  0.56  0.55   0.53  3.8 1.13
PPLAN_COURSE            222  0.62  0.64  0.64   0.59  4.0 1.12
PPLAN_STUDY             222  0.60  0.63  0.63   0.58  4.1 1.08
PPLAN_MONITORING        222  0.66  0.68  0.68   0.64  4.1 1.04
ECTS_MONITORING         222  0.68  0.69  0.68   0.66  3.7 1.17
PPLAN_EXTRACURRICULAR   222  0.53  0.53  0.51   0.49  3.4 1.21
TEACHER_EVALUATION      222  0.45  0.44  0.42   0.41  3.5 1.22
TEACHER_PROFILE         222  0.46  0.46  0.44   0.42  3.3 1.17
TEACHERS_CONTEVAL       222  0.39  0.39  0.38   0.35  3.5 1.23
TEACHERS_FEEDBACK       222  0.41  0.42  0.40   0.37  3.8 1.16
BADGES_COMPARISON       222  0.62  0.60  0.60   0.59  2.7 1.28
BADGES_COLLECTING       222  0.65  0.63  0.63   0.61  3.0 1.35
AWARDS                  222  0.61  0.59  0.59   0.57  2.8 1.28
COMPETITIONS            222  0.59  0.58  0.57   0.56  2.8 1.24
STATUS_CURRENT          222  0.67  0.68  0.67   0.64  4.0 1.14
COMPARISON_OTHERS       222  0.67  0.65  0.64   0.63  3.0 1.28

Non missing response frequency for each item
                           1    2    3    4    5 miss
RISK                    0.03 0.09 0.13 0.38 0.37    0
SCHEDULE                0.01 0.05 0.09 0.30 0.55    0
CALENDAR                0.01 0.02 0.05 0.28 0.64    0
COURSES                 0.04 0.06 0.14 0.41 0.35    0
NOTIFICATIONS_COURSE    0.02 0.02 0.06 0.36 0.54    0
NOTIFICATIONS_DEADLINES 0.03 0.02 0.09 0.39 0.46    0
MESSAGES_TEACHER        0.01 0.02 0.17 0.43 0.36    0
MESSAGES_ADMIN          0.04 0.15 0.29 0.34 0.17    0
COMPARISON_EXAMS        0.12 0.21 0.22 0.32 0.14    0
COMPARISON_ECTS         0.17 0.25 0.18 0.28 0.13    0
COMPARISON_GRADES       0.14 0.24 0.23 0.24 0.15    0
COMPARISON_OBLIGATIONS  0.14 0.24 0.20 0.30 0.11    0
STATUS_STUDENTS         0.15 0.24 0.23 0.23 0.15    0
PREDICTION_COURSE       0.07 0.08 0.13 0.39 0.34    0
PREDICTION_YEAR         0.07 0.07 0.11 0.37 0.38    0
PREDICTION_OBLIGATIONS  0.07 0.06 0.10 0.27 0.50    0
PREDICTION_ECTS         0.07 0.10 0.10 0.32 0.41    0
PREDICTION_PROGRAM      0.07 0.05 0.11 0.35 0.42    0
ECTSAVG_STUDY           0.11 0.22 0.28 0.26 0.14    0
ECTSAVG_COURSE          0.08 0.23 0.27 0.30 0.12    0
AVGGRADE_COURSE         0.06 0.18 0.19 0.40 0.17    0
PASSRATE_COURSE         0.05 0.10 0.15 0.41 0.28    0
PPLAN_COURSE            0.05 0.07 0.15 0.33 0.41    0
PPLAN_STUDY             0.05 0.05 0.12 0.34 0.44    0
PPLAN_MONITORING        0.05 0.04 0.10 0.40 0.41    0
ECTS_MONITORING         0.06 0.09 0.24 0.30 0.32    0
PPLAN_EXTRACURRICULAR   0.07 0.17 0.27 0.26 0.23    0
TEACHER_EVALUATION      0.09 0.13 0.18 0.38 0.21    0
TEACHER_PROFILE         0.08 0.15 0.28 0.31 0.18    0
TEACHERS_CONTEVAL       0.07 0.16 0.23 0.27 0.27    0
TEACHERS_FEEDBACK       0.05 0.10 0.20 0.33 0.32    0
BADGES_COMPARISON       0.23 0.23 0.24 0.21 0.09    0
BADGES_COLLECTING       0.20 0.18 0.18 0.31 0.13    0
AWARDS                  0.20 0.21 0.23 0.27 0.09    0
COMPETITIONS            0.18 0.24 0.23 0.27 0.09    0
STATUS_CURRENT          0.06 0.06 0.12 0.37 0.39    0
COMPARISON_OTHERS       0.14 0.23 0.23 0.25 0.15    0

Column

split-half

Split half reliabilities  
Call: splitHalf(r = podaci_EFA)

Maximum split half reliability (lambda 4) =  0.97
Guttman lambda 6                          =  0.97
Average split half reliability            =  0.94
Guttman lambda 3 (alpha)                  =  0.94
Guttman lambda 2                          =  0.95
Minimum split half reliability  (beta)    =  0.83
Average interitem r =  0.31  with median =  0.29

Kaiser-Meyer-Olkin

Kaiser-Meyer-Olkin factor adequacy
Call: KMO(r = podaci_EFA)
Overall MSA =  0.91
MSA for each item = 
                   RISK                SCHEDULE                CALENDAR 
                   0.93                    0.88                    0.86 
                COURSES    NOTIFICATIONS_COURSE NOTIFICATIONS_DEADLINES 
                   0.92                    0.89                    0.91 
       MESSAGES_TEACHER          MESSAGES_ADMIN        COMPARISON_EXAMS 
                   0.88                    0.87                    0.88 
        COMPARISON_ECTS       COMPARISON_GRADES  COMPARISON_OBLIGATIONS 
                   0.89                    0.93                    0.94 
        STATUS_STUDENTS       PREDICTION_COURSE         PREDICTION_YEAR 
                   0.94                    0.93                    0.90 
 PREDICTION_OBLIGATIONS         PREDICTION_ECTS      PREDICTION_PROGRAM 
                   0.91                    0.94                    0.94 
          ECTSAVG_STUDY          ECTSAVG_COURSE         AVGGRADE_COURSE 
                   0.91                    0.90                    0.93 
        PASSRATE_COURSE            PPLAN_COURSE             PPLAN_STUDY 
                   0.90                    0.89                    0.89 
       PPLAN_MONITORING         ECTS_MONITORING   PPLAN_EXTRACURRICULAR 
                   0.93                    0.96                    0.86 
     TEACHER_EVALUATION         TEACHER_PROFILE       TEACHERS_CONTEVAL 
                   0.85                    0.85                    0.78 
      TEACHERS_FEEDBACK       BADGES_COMPARISON       BADGES_COLLECTING 
                   0.82                    0.89                    0.89 
                 AWARDS            COMPETITIONS          STATUS_CURRENT 
                   0.90                    0.89                    0.94 
      COMPARISON_OTHERS 
                   0.94 

EFA - broj faktora

Column

Svojstvene vrijednosti matrice korelacija

 [1] 12.62222490  4.08486685  2.32931051  2.08891930  1.86254670  1.43118524
 [7]  1.16602729  0.98445370  0.86581997  0.79260476  0.70038491  0.64079644
[13]  0.58026809  0.56591649  0.50381411  0.49749051  0.43876665  0.43532793
[19]  0.42316388  0.39862464  0.37392871  0.34791586  0.30866078  0.30291738
[25]  0.28056591  0.25945260  0.21825720  0.21420384  0.19783583  0.18008587
[31]  0.16513219  0.16142741  0.14002291  0.12400957  0.11559126  0.10810169
[37]  0.08937815

Column

SCREE plot

EFA model

Column

EFA - 5 faktora

Factor Analysis using method =  minres
Call: fa(r = podaci_EFA, nfactors = 5)
Standardized loadings (pattern matrix) based upon correlation matrix
                          MR2   MR1   MR3   MR4   MR5   h2   u2 com
RISK                     0.03  0.27  0.47  0.04 -0.11 0.42 0.58 1.8
SCHEDULE                 0.02  0.45  0.16 -0.16  0.13 0.31 0.69 1.7
CALENDAR                 0.07  0.48  0.16 -0.24  0.09 0.34 0.66 1.9
COURSES                  0.16  0.47  0.14 -0.08  0.03 0.35 0.65 1.5
NOTIFICATIONS_COURSE     0.06  0.59 -0.04  0.00  0.08 0.38 0.62 1.1
NOTIFICATIONS_DEADLINES  0.02  0.65  0.08 -0.07  0.05 0.48 0.52 1.1
MESSAGES_TEACHER         0.02  0.51  0.03 -0.03  0.14 0.33 0.67 1.2
MESSAGES_ADMIN          -0.07  0.53 -0.01  0.09  0.05 0.31 0.69 1.1
COMPARISON_EXAMS         0.81 -0.01  0.02  0.02 -0.03 0.67 0.33 1.0
COMPARISON_ECTS          0.77  0.07  0.02  0.03 -0.07 0.63 0.37 1.0
COMPARISON_GRADES        0.88  0.02 -0.10  0.00  0.00 0.72 0.28 1.0
COMPARISON_OBLIGATIONS   0.64  0.08  0.08  0.09 -0.04 0.55 0.45 1.1
STATUS_STUDENTS          0.68 -0.12 -0.07  0.17  0.05 0.55 0.45 1.2
PREDICTION_COURSE        0.03  0.01  0.80  0.09  0.00 0.74 0.26 1.0
PREDICTION_YEAR         -0.01 -0.10  0.98  0.00  0.01 0.87 0.13 1.0
PREDICTION_OBLIGATIONS   0.00  0.03  0.89 -0.07  0.02 0.79 0.21 1.0
PREDICTION_ECTS          0.02  0.14  0.73  0.10 -0.02 0.73 0.27 1.1
PREDICTION_PROGRAM      -0.01  0.07  0.68  0.09  0.01 0.57 0.43 1.1
ECTSAVG_STUDY            0.80  0.08  0.00  0.00 -0.09 0.65 0.35 1.0
ECTSAVG_COURSE           0.78  0.00  0.01 -0.01  0.05 0.63 0.37 1.0
AVGGRADE_COURSE          0.69 -0.01  0.08 -0.06  0.16 0.57 0.43 1.1
PASSRATE_COURSE          0.58  0.04  0.08 -0.06  0.12 0.42 0.58 1.2
PPLAN_COURSE             0.08  0.80 -0.03  0.06 -0.04 0.68 0.32 1.0
PPLAN_STUDY              0.00  0.84 -0.01  0.02  0.01 0.72 0.28 1.0
PPLAN_MONITORING        -0.04  0.66  0.13  0.17  0.04 0.65 0.35 1.2
ECTS_MONITORING          0.15  0.42  0.32  0.03  0.02 0.53 0.47 2.2
PPLAN_EXTRACURRICULAR    0.00  0.43 -0.05  0.39 -0.03 0.39 0.61 2.0
TEACHER_EVALUATION       0.23 -0.14  0.15 -0.08  0.59 0.47 0.53 1.6
TEACHER_PROFILE          0.11 -0.01  0.06  0.07  0.57 0.42 0.58 1.1
TEACHERS_CONTEVAL       -0.02  0.04 -0.03  0.01  0.79 0.62 0.38 1.0
TEACHERS_FEEDBACK       -0.11  0.16 -0.08  0.12  0.72 0.59 0.41 1.2
BADGES_COMPARISON        0.07  0.05 -0.03  0.78  0.06 0.70 0.30 1.0
BADGES_COLLECTING        0.02 -0.01  0.13  0.80  0.02 0.75 0.25 1.1
AWARDS                   0.04 -0.02  0.02  0.88 -0.01 0.80 0.20 1.0
COMPETITIONS             0.03  0.04  0.02  0.71  0.09 0.60 0.40 1.0
STATUS_CURRENT           0.04  0.30  0.49  0.07  0.01 0.55 0.45 1.7
COMPARISON_OTHERS        0.50 -0.11  0.17  0.24  0.11 0.56 0.44 1.9

                       MR2  MR1  MR3  MR4  MR5
SS loadings           5.79 4.96 4.80 3.30 2.17
Proportion Var        0.16 0.13 0.13 0.09 0.06
Cumulative Var        0.16 0.29 0.42 0.51 0.57
Proportion Explained  0.28 0.24 0.23 0.16 0.10
Cumulative Proportion 0.28 0.51 0.74 0.90 1.00

 With factor correlations of 
     MR2  MR1  MR3  MR4  MR5
MR2 1.00 0.27 0.40 0.47 0.27
MR1 0.27 1.00 0.49 0.31 0.26
MR3 0.40 0.49 1.00 0.35 0.22
MR4 0.47 0.31 0.35 1.00 0.25
MR5 0.27 0.26 0.22 0.25 1.00

Mean item complexity =  1.3
Test of the hypothesis that 5 factors are sufficient.

The degrees of freedom for the null model are  666  and the objective function was  28.37 with Chi Square of  5896.04
The degrees of freedom for the model are 491  and the objective function was  6.04 

The root mean square of the residuals (RMSR) is  0.04 
The df corrected root mean square of the residuals is  0.05 

The harmonic number of observations is  222 with the empirical chi square  593.11  with prob <  0.001 
The total number of observations was  222  with Likelihood Chi Square =  1235.71  with prob <  8.3e-66 

Tucker Lewis Index of factoring reliability =  0.803
RMSEA index =  0.083  and the 90 % confidence intervals are  0.077 0.089
BIC =  -1417.01
Fit based upon off diagonal values = 0.98
Measures of factor score adequacy             
                                                   MR2  MR1  MR3  MR4  MR5
Correlation of (regression) scores with factors   0.97 0.95 0.97 0.96 0.91
Multiple R square of scores with factors          0.94 0.91 0.95 0.92 0.82
Minimum correlation of possible factor scores     0.87 0.82 0.90 0.83 0.64

Column

Loadings (cutoff = 0.4)


Loadings:
                        MR2    MR1    MR3    MR4    MR5   
COMPARISON_EXAMS         0.812                            
COMPARISON_ECTS          0.769                            
COMPARISON_GRADES        0.877                            
COMPARISON_OBLIGATIONS   0.640                            
STATUS_STUDENTS          0.681                            
ECTSAVG_STUDY            0.799                            
ECTSAVG_COURSE           0.783                            
AVGGRADE_COURSE          0.691                            
PASSRATE_COURSE                                           
COMPARISON_OTHERS                                         
NOTIFICATIONS_COURSE                                      
NOTIFICATIONS_DEADLINES         0.647                     
MESSAGES_TEACHER                                          
MESSAGES_ADMIN                                            
PPLAN_COURSE                    0.801                     
PPLAN_STUDY                     0.838                     
PPLAN_MONITORING                0.657                     
PREDICTION_COURSE                      0.802              
PREDICTION_YEAR                        0.977              
PREDICTION_OBLIGATIONS                 0.894              
PREDICTION_ECTS                        0.734              
PREDICTION_PROGRAM                     0.684              
BADGES_COMPARISON                             0.778       
BADGES_COLLECTING                             0.799       
AWARDS                                        0.877       
COMPETITIONS                                  0.708       
TEACHER_EVALUATION                                        
TEACHER_PROFILE                                           
TEACHERS_CONTEVAL                                    0.787
TEACHERS_FEEDBACK                                    0.723
RISK                                                      
SCHEDULE                                                  
CALENDAR                                                  
COURSES                                                   
ECTS_MONITORING                                           
PPLAN_EXTRACURRICULAR                                     
STATUS_CURRENT                                            

                 MR2   MR1   MR3   MR4   MR5
SS loadings    5.371 4.380 4.189 2.968 1.968
Proportion Var 0.145 0.118 0.113 0.080 0.053
Cumulative Var 0.145 0.264 0.377 0.457 0.510

Loadings

Column

Interaktivna tablica

graf

Scores

Column

Funkcija gustoće

Column

tablica

               MR2          MR1          MR3          MR4          MR5
  [1,]  1.22626253 -0.618045136  0.243038519  1.385742075  1.099287345
  [2,]  0.48853625  0.282047424 -1.305955773  0.054543878  0.273165495
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[204,]  0.44366333  1.167015448  0.089513824  0.899924453  0.574232560
[205,] -0.27902793 -0.140046971  0.531355742  0.484469584 -0.034139194
[206,] -0.94812247  0.863103087  0.871600096 -0.209266304  0.983735759
[207,] -1.36557958  0.157895351  0.011236991 -0.510610244 -0.450343127
[208,]  0.80439873 -1.067789896 -1.679281165  0.371600929  0.206969372
[209,]  0.55572546 -0.641424009  0.819165524  0.251276917 -0.184681511
[210,] -0.03853499 -0.506430208  1.138179510  0.532918949  1.743864720
[211,] -1.49506419 -0.889717785 -0.593959121 -1.098617922  0.144104596
[212,] -0.97259930  0.151786889  0.131776767 -0.959644057  0.843133589
[213,] -0.91828284  0.655464447  0.498996056  0.509943164  0.242998885
[214,]  0.15936853  0.614172287  0.967990641 -0.674992740  0.363885725
[215,] -0.10719548  0.222396214 -0.070764458  0.495526405 -0.249083324
[216,] -0.28264393  0.555682632  0.678635539  1.122534430  1.058488333
[217,] -0.78038804 -0.048498865  0.424603322 -0.886061663 -0.794274931
[218,]  0.82998111 -0.051348197  0.048645920  1.048128061  0.397695966
[219,]  0.39301063 -0.432326367  0.685897950  1.391454910 -2.126600316
[220,] -2.02337520 -3.015030901 -2.825935942 -1.564148508  0.160881434
[221,]  0.42996577 -0.646131195 -0.003825481 -0.817462782 -0.440811949
[222,] -1.42985227  0.702735470 -2.722021253 -0.514053264  0.688517128

Summary

Column

Model (cutoff=0.4)

# Latent variables
MR2 =~ COMPARISON_EXAMS + COMPARISON_ECTS + COMPARISON_GRADES + COMPARISON_OBLIGATIONS + STATUS_STUDENTS + ECTSAVG_STUDY + ECTSAVG_COURSE + AVGGRADE_COURSE
MR1 =~ NOTIFICATIONS_DEADLINES + PPLAN_COURSE + PPLAN_STUDY + PPLAN_MONITORING
MR3 =~ PREDICTION_COURSE + PREDICTION_YEAR + PREDICTION_OBLIGATIONS + PREDICTION_ECTS + PREDICTION_PROGRAM
MR4 =~ BADGES_COMPARISON + BADGES_COLLECTING + AWARDS + COMPETITIONS
MR5 =~ TEACHERS_CONTEVAL + TEACHERS_FEEDBACK

Summary (cutoff=0.4)

lavaan 0.6-10 ended normally after 64 iterations

  Estimator                                         ML
  Optimization method                           NLMINB
  Number of model parameters                        56
                                                      
  Number of observations                           196
                                                      
Model Test User Model:
                                                      
  Test statistic                               445.474
  Degrees of freedom                               220
  P-value (Chi-square)                           0.000

Model Test Baseline Model:

  Test statistic                              3681.006
  Degrees of freedom                               253
  P-value                                        0.000

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.934
  Tucker-Lewis Index (TLI)                       0.924

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)              -5496.738
  Loglikelihood unrestricted model (H1)      -5274.001
                                                      
  Akaike (AIC)                               11105.476
  Bayesian (BIC)                             11289.050
  Sample-size adjusted Bayesian (BIC)        11111.648

Root Mean Square Error of Approximation:

  RMSEA                                          0.072
  90 Percent confidence interval - lower         0.063
  90 Percent confidence interval - upper         0.082
  P-value RMSEA <= 0.05                          0.000

Standardized Root Mean Square Residual:

  SRMR                                           0.057

Parameter Estimates:

  Standard errors                             Standard
  Information                                 Expected
  Information saturated (h1) model          Structured

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)
  MR2 =~                                              
    COMPARISON_EXA    1.000                           
    COMPARISON_ECT    0.989    0.053   18.633    0.000
    COMPARISON_GRA    1.040    0.052   19.983    0.000
    COMPARISON_OBL    0.911    0.057   15.955    0.000
    STATUS_STUDENT    0.879    0.065   13.554    0.000
    ECTSAVG_STUDY     0.848    0.054   15.632    0.000
    ECTSAVG_COURSE    0.920    0.052   17.819    0.000
    AVGGRADE_COURS    0.612    0.056   10.914    0.000
  MR1 =~                                              
    NOTIFICATIONS_    1.000                           
    PPLAN_COURSE      2.434    0.435    5.602    0.000
    PPLAN_STUDY       2.281    0.412    5.534    0.000
    PPLAN_MONITORI    2.444    0.433    5.651    0.000
  MR3 =~                                              
    PREDICTION_COU    1.000                           
    PREDICTION_YEA    1.111    0.057   19.349    0.000
    PREDICTION_OBL    0.890    0.057   15.631    0.000
    PREDICTION_ECT    0.938    0.056   16.627    0.000
    PREDICTION_PRO    0.532    0.067    7.934    0.000
  MR4 =~                                              
    BADGES_COMPARI    1.000                           
    BADGES_COLLECT    1.085    0.074   14.712    0.000
    AWARDS            0.936    0.073   12.779    0.000
    COMPETITIONS      0.806    0.079   10.160    0.000
  MR5 =~                                              
    TEACHERS_CONTE    1.000                           
    TEACHERS_FEEDB    0.881    0.158    5.562    0.000

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)
  MR2 ~~                                              
    MR1               0.096    0.037    2.583    0.010
    MR3               0.515    0.103    4.978    0.000
    MR4               0.745    0.120    6.223    0.000
    MR5               0.304    0.097    3.122    0.002
  MR1 ~~                                              
    MR3               0.203    0.048    4.242    0.000
    MR4               0.158    0.043    3.699    0.000
    MR5               0.097    0.034    2.849    0.004
  MR3 ~~                                              
    MR4               0.445    0.096    4.634    0.000
    MR5               0.214    0.084    2.549    0.011
  MR4 ~~                                              
    MR5               0.360    0.094    3.811    0.000

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)
   .COMPARISON_EXA    0.393    0.047    8.346    0.000
   .COMPARISON_ECT    0.352    0.043    8.198    0.000
   .COMPARISON_GRA    0.279    0.037    7.521    0.000
   .COMPARISON_OBL    0.532    0.059    8.951    0.000
   .STATUS_STUDENT    0.807    0.087    9.320    0.000
   .ECTSAVG_STUDY     0.492    0.055    9.012    0.000
   .ECTSAVG_COURSE    0.365    0.043    8.486    0.000
   .AVGGRADE_COURS    0.687    0.072    9.570    0.000
   .NOTIFICATIONS_    0.675    0.069    9.724    0.000
   .PPLAN_COURSE      0.252    0.037    6.727    0.000
   .PPLAN_STUDY       0.319    0.041    7.807    0.000
   .PPLAN_MONITORI    0.156    0.031    4.999    0.000
   .PREDICTION_COU    0.364    0.045    8.132    0.000
   .PREDICTION_YEA    0.162    0.032    5.117    0.000
   .PREDICTION_OBL    0.344    0.041    8.440    0.000
   .PREDICTION_ECT    0.298    0.037    7.990    0.000
   .PREDICTION_PRO    0.789    0.082    9.683    0.000
   .BADGES_COMPARI    0.457    0.066    6.922    0.000
   .BADGES_COLLECT    0.407    0.068    6.016    0.000
   .AWARDS            0.618    0.077    8.019    0.000
   .COMPETITIONS      0.939    0.104    9.006    0.000
   .TEACHERS_CONTE    0.297    0.162    1.838    0.066
   .TEACHERS_FEEDB    0.419    0.130    3.214    0.001
    MR2               1.418    0.180    7.861    0.000
    MR1               0.127    0.046    2.780    0.005
    MR3               1.076    0.143    7.524    0.000
    MR4               1.162    0.164    7.095    0.000
    MR5               0.938    0.200    4.694    0.000

Sve mjere testa (cutoff=0.4)

               npar                fmin               chisq                  df 
             56.000               1.136             445.474             220.000 
             pvalue      baseline.chisq         baseline.df     baseline.pvalue 
              0.000            3681.006             253.000               0.000 
                cfi                 tli                nnfi                 rfi 
              0.934               0.924               0.924               0.861 
                nfi                pnfi                 ifi                 rni 
              0.879               0.764               0.935               0.934 
               logl   unrestricted.logl                 aic                 bic 
          -5496.738           -5274.001           11105.476           11289.050 
             ntotal                bic2               rmsea      rmsea.ci.lower 
            196.000           11111.648               0.072               0.063 
     rmsea.ci.upper        rmsea.pvalue                 rmr          rmr_nomean 
              0.082               0.000               0.079               0.079 
               srmr        srmr_bentler srmr_bentler_nomean                crmr 
              0.057               0.057               0.057               0.060 
        crmr_nomean          srmr_mplus   srmr_mplus_nomean               cn_05 
              0.060               0.057               0.057             113.460 
              cn_01                 gfi                agfi                pgfi 
            120.550               0.832               0.789               0.663 
                mfi                ecvi 
              0.563               2.844 

Column

Model (sve stare varijable)

# Latent variables
MR2 =~ COMPARISON_EXAMS + COMPARISON_ECTS + COMPARISON_GRADES + COMPARISON_OBLIGATIONS + STATUS_STUDENTS + ECTSAVG_STUDY + ECTSAVG_COURSE + AVGGRADE_COURSE + PASSRATE_COURSE + COMPARISON_OTHERS
MR1 =~ SCHEDULE + CALENDAR + COURSES + NOTIFICATIONS_COURSE + NOTIFICATIONS_DEADLINES + MESSAGES_TEACHER + MESSAGES_ADMIN + PPLAN_COURSE + PPLAN_STUDY + PPLAN_MONITORING + ECTS_MONITORING + PPLAN_EXTRACURRICULAR
MR3 =~ RISK + PREDICTION_COURSE + PREDICTION_YEAR + PREDICTION_OBLIGATIONS + PREDICTION_ECTS + PREDICTION_PROGRAM + STATUS_CURRENT
MR4 =~ BADGES_COMPARISON + BADGES_COLLECTING + AWARDS + COMPETITIONS
MR5 =~ TEACHER_EVALUATION + TEACHER_PROFILE + TEACHERS_CONTEVAL + TEACHERS_FEEDBACK

Summary (sve stare varijable)

lavaan 0.6-10 ended normally after 85 iterations

  Estimator                                         ML
  Optimization method                           NLMINB
  Number of model parameters                        84
                                                      
  Number of observations                           196
                                                      
Model Test User Model:
                                                      
  Test statistic                              1269.749
  Degrees of freedom                               619
  P-value (Chi-square)                           0.000

Model Test Baseline Model:

  Test statistic                              5106.374
  Degrees of freedom                               666
  P-value                                        0.000

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.853
  Tucker-Lewis Index (TLI)                       0.842

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)              -8871.718
  Loglikelihood unrestricted model (H1)      -8236.844
                                                      
  Akaike (AIC)                               17911.437
  Bayesian (BIC)                             18186.799
  Sample-size adjusted Bayesian (BIC)        17920.695

Root Mean Square Error of Approximation:

  RMSEA                                          0.073
  90 Percent confidence interval - lower         0.067
  90 Percent confidence interval - upper         0.079
  P-value RMSEA <= 0.05                          0.000

Standardized Root Mean Square Residual:

  SRMR                                           0.083

Parameter Estimates:

  Standard errors                             Standard
  Information                                 Expected
  Information saturated (h1) model          Structured

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)
  MR2 =~                                              
    COMPARISON_EXA    1.000                           
    COMPARISON_ECT    0.988    0.054   18.383    0.000
    COMPARISON_GRA    1.040    0.053   19.792    0.000
    COMPARISON_OBL    0.911    0.058   15.809    0.000
    STATUS_STUDENT    0.886    0.065   13.668    0.000
    ECTSAVG_STUDY     0.853    0.054   15.689    0.000
    ECTSAVG_COURSE    0.923    0.052   17.788    0.000
    AVGGRADE_COURS    0.620    0.056   11.061    0.000
    PASSRATE_COURS    0.392    0.050    7.769    0.000
    COMPARISON_OTH    0.771    0.068   11.276    0.000
  MR1 =~                                              
    SCHEDULE          1.000                           
    CALENDAR          1.185    0.381    3.113    0.002
    COURSES           1.923    0.549    3.504    0.000
    NOTIFICATIONS_    1.182    0.382    3.096    0.002
    NOTIFICATIONS_    2.142    0.586    3.657    0.000
    MESSAGES_TEACH    2.000    0.550    3.635    0.000
    MESSAGES_ADMIN    1.838    0.572    3.211    0.001
    PPLAN_COURSE      4.676    1.083    4.319    0.000
    PPLAN_STUDY       4.322    1.011    4.277    0.000
    PPLAN_MONITORI    4.690    1.079    4.345    0.000
    ECTS_MONITORIN    2.167    0.579    3.741    0.000
    PPLAN_EXTRACUR    3.551    0.880    4.036    0.000
  MR3 =~                                              
    RISK              1.000                           
    PREDICTION_COU    2.027    0.238    8.534    0.000
    PREDICTION_YEA    2.237    0.252    8.871    0.000
    PREDICTION_OBL    1.804    0.214    8.427    0.000
    PREDICTION_ECT    1.897    0.222    8.563    0.000
    PREDICTION_PRO    1.084    0.173    6.247    0.000
    STATUS_CURRENT    0.515    0.156    3.304    0.001
  MR4 =~                                              
    BADGES_COMPARI    1.000                           
    BADGES_COLLECT    1.084    0.074   14.726    0.000
    AWARDS            0.936    0.073   12.793    0.000
    COMPETITIONS      0.806    0.079   10.169    0.000
  MR5 =~                                              
    TEACHER_EVALUA    1.000                           
    TEACHER_PROFIL    0.921    0.154    5.985    0.000
    TEACHERS_CONTE    1.418    0.179    7.918    0.000
    TEACHERS_FEEDB    1.236    0.159    7.754    0.000

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)
  MR2 ~~                                              
    MR1               0.049    0.020    2.424    0.015
    MR3               0.259    0.057    4.511    0.000
    MR4               0.756    0.120    6.289    0.000
    MR5               0.270    0.073    3.708    0.000
  MR1 ~~                                              
    MR3               0.054    0.016    3.411    0.001
    MR4               0.083    0.025    3.270    0.001
    MR5               0.038    0.014    2.717    0.007
  MR3 ~~                                              
    MR4               0.222    0.053    4.233    0.000
    MR5               0.093    0.032    2.927    0.003
  MR4 ~~                                              
    MR5               0.281    0.071    3.983    0.000

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)
   .COMPARISON_EXA    0.400    0.047    8.444    0.000
   .COMPARISON_ECT    0.363    0.044    8.335    0.000
   .COMPARISON_GRA    0.285    0.037    7.683    0.000
   .COMPARISON_OBL    0.539    0.060    9.008    0.000
   .STATUS_STUDENT    0.793    0.085    9.327    0.000
   .ECTSAVG_STUDY     0.485    0.054    9.030    0.000
   .ECTSAVG_COURSE    0.363    0.043    8.535    0.000
   .AVGGRADE_COURS    0.676    0.071    9.572    0.000
   .PASSRATE_COURS    0.612    0.063    9.755    0.000
   .COMPARISON_OTH    0.998    0.104    9.556    0.000
   .SCHEDULE          0.312    0.032    9.806    0.000
   .CALENDAR          0.441    0.045    9.806    0.000
   .COURSES           0.671    0.069    9.738    0.000
   .NOTIFICATIONS_    0.448    0.046    9.808    0.000
   .NOTIFICATIONS_    0.648    0.067    9.691    0.000
   .MESSAGES_TEACH    0.587    0.060    9.699    0.000
   .MESSAGES_ADMIN    0.932    0.095    9.793    0.000
   .PPLAN_COURSE      0.266    0.036    7.347    0.000
   .PPLAN_STUDY       0.350    0.042    8.275    0.000
   .PPLAN_MONITORI    0.173    0.029    6.015    0.000
   .ECTS_MONITORIN    0.568    0.059    9.656    0.000
   .PPLAN_EXTRACUR    0.754    0.080    9.405    0.000
   .RISK              0.578    0.060    9.644    0.000
   .PREDICTION_COU    0.360    0.044    8.133    0.000
   .PREDICTION_YEA    0.174    0.032    5.528    0.000
   .PREDICTION_OBL    0.341    0.040    8.438    0.000
   .PREDICTION_ECT    0.299    0.037    8.030    0.000
   .PREDICTION_PRO    0.785    0.081    9.679    0.000
   .STATUS_CURRENT    1.032    0.105    9.862    0.000
   .BADGES_COMPARI    0.456    0.066    6.929    0.000
   .BADGES_COLLECT    0.408    0.067    6.048    0.000
   .AWARDS            0.617    0.077    8.024    0.000
   .COMPETITIONS      0.939    0.104    9.009    0.000
   .TEACHER_EVALUA    0.848    0.096    8.869    0.000
   .TEACHER_PROFIL    0.993    0.108    9.165    0.000
   .TEACHERS_CONTE    0.329    0.075    4.407    0.000
   .TEACHERS_FEEDB    0.459    0.070    6.559    0.000
    MR2               1.411    0.180    7.833    0.000
    MR1               0.034    0.016    2.152    0.031
    MR3               0.263    0.063    4.162    0.000
    MR4               1.163    0.164    7.100    0.000
    MR5               0.450    0.108    4.171    0.000

Sve mjere testa (sve stare varijable)

               npar                fmin               chisq                  df 
             84.000               3.239            1269.749             619.000 
             pvalue      baseline.chisq         baseline.df     baseline.pvalue 
              0.000            5106.374             666.000               0.000 
                cfi                 tli                nnfi                 rfi 
              0.853               0.842               0.842               0.732 
                nfi                pnfi                 ifi                 rni 
              0.751               0.698               0.855               0.853 
               logl   unrestricted.logl                 aic                 bic 
          -8871.718           -8236.844           17911.437           18186.799 
             ntotal                bic2               rmsea      rmsea.ci.lower 
            196.000           17920.695               0.073               0.067 
     rmsea.ci.upper        rmsea.pvalue                 rmr          rmr_nomean 
              0.079               0.000               0.095               0.095 
               srmr        srmr_bentler srmr_bentler_nomean                crmr 
              0.083               0.083               0.083               0.086 
        crmr_nomean          srmr_mplus   srmr_mplus_nomean               cn_05 
              0.086               0.083               0.083             105.655 
              cn_01                 gfi                agfi                pgfi 
            109.637               0.743               0.708               0.654 
                mfi                ecvi 
              0.190               7.335 

Parametri

Column

Parametri (cutoff=0.4)

Parametri (cutoff=0.4)
lhs op rhs est se z pvalue ci.lower ci.upper
MR2 =~ COMPARISON_EXAMS 1.0000000 0.0000000 NA NA 1.0000000 1.0000000
MR2 =~ COMPARISON_ECTS 0.9892496 0.0530906 18.633228 0.0000000 0.8851939 1.0933053
MR2 =~ COMPARISON_GRADES 1.0399884 0.0520428 19.983342 0.0000000 0.9379865 1.1419904
MR2 =~ COMPARISON_OBLIGATIONS 0.9112762 0.0571147 15.955191 0.0000000 0.7993334 1.0232190
MR2 =~ STATUS_STUDENTS 0.8787119 0.0648311 13.553864 0.0000000 0.7516453 1.0057785
MR2 =~ ECTSAVG_STUDY 0.8480822 0.0542539 15.631724 0.0000000 0.7417465 0.9544179
MR2 =~ ECTSAVG_COURSE 0.9196047 0.0516079 17.819069 0.0000000 0.8184551 1.0207543
MR2 =~ AVGGRADE_COURSE 0.6122949 0.0561038 10.913611 0.0000000 0.5023335 0.7222563
MR1 =~ NOTIFICATIONS_DEADLINES 1.0000000 0.0000000 NA NA 1.0000000 1.0000000
MR1 =~ PPLAN_COURSE 2.4343179 0.4345743 5.601614 0.0000000 1.5825678 3.2860680
MR1 =~ PPLAN_STUDY 2.2814772 0.4122306 5.534469 0.0000000 1.4735201 3.0894342
MR1 =~ PPLAN_MONITORING 2.4443759 0.4325415 5.651193 0.0000000 1.5966101 3.2921418
MR3 =~ PREDICTION_COURSE 1.0000000 0.0000000 NA NA 1.0000000 1.0000000
MR3 =~ PREDICTION_YEAR 1.1109641 0.0574180 19.348696 0.0000000 0.9984268 1.2235014
MR3 =~ PREDICTION_OBLIGATIONS 0.8898335 0.0569269 15.631171 0.0000000 0.7782589 1.0014081
MR3 =~ PREDICTION_ECTS 0.9378514 0.0564056 16.626908 0.0000000 0.8272984 1.0484044
MR3 =~ PREDICTION_PROGRAM 0.5317495 0.0670189 7.934317 0.0000000 0.4003948 0.6631042
MR4 =~ BADGES_COMPARISON 1.0000000 0.0000000 NA NA 1.0000000 1.0000000
MR4 =~ BADGES_COLLECTING 1.0853556 0.0737714 14.712412 0.0000000 0.9407663 1.2299449
MR4 =~ AWARDS 0.9361797 0.0732620 12.778512 0.0000000 0.7925887 1.0797706
MR4 =~ COMPETITIONS 0.8056960 0.0792984 10.160311 0.0000000 0.6502741 0.9611180
MR5 =~ TEACHERS_CONTEVAL 1.0000000 0.0000000 NA NA 1.0000000 1.0000000
MR5 =~ TEACHERS_FEEDBACK 0.8808414 0.1583747 5.561757 0.0000000 0.5704328 1.1912501
COMPARISON_EXAMS ~~ COMPARISON_EXAMS 0.3933212 0.0471288 8.345670 0.0000000 0.3009505 0.4856919
COMPARISON_ECTS ~~ COMPARISON_ECTS 0.3519077 0.0429258 8.198052 0.0000000 0.2677748 0.4360407
COMPARISON_GRADES ~~ COMPARISON_GRADES 0.2786688 0.0370501 7.521398 0.0000000 0.2060518 0.3512857
COMPARISON_OBLIGATIONS ~~ COMPARISON_OBLIGATIONS 0.5317737 0.0594126 8.950513 0.0000000 0.4153270 0.6482203
STATUS_STUDENTS ~~ STATUS_STUDENTS 0.8067305 0.0865584 9.320068 0.0000000 0.6370791 0.9763819
ECTSAVG_STUDY ~~ ECTSAVG_STUDY 0.4921385 0.0546097 9.011928 0.0000000 0.3851055 0.5991715
ECTSAVG_COURSE ~~ ECTSAVG_COURSE 0.3652867 0.0430442 8.486310 0.0000000 0.2809216 0.4496519
AVGGRADE_COURSE ~~ AVGGRADE_COURSE 0.6868595 0.0717729 9.569902 0.0000000 0.5461873 0.8275318
NOTIFICATIONS_DEADLINES ~~ NOTIFICATIONS_DEADLINES 0.6753806 0.0694569 9.723735 0.0000000 0.5392476 0.8115137
PPLAN_COURSE ~~ PPLAN_COURSE 0.2516319 0.0374051 6.727203 0.0000000 0.1783192 0.3249446
PPLAN_STUDY ~~ PPLAN_STUDY 0.3190444 0.0408675 7.806794 0.0000000 0.2389455 0.3991432
PPLAN_MONITORING ~~ PPLAN_MONITORING 0.1560695 0.0312224 4.998642 0.0000006 0.0948748 0.2172643
PREDICTION_COURSE ~~ PREDICTION_COURSE 0.3637268 0.0447279 8.131989 0.0000000 0.2760617 0.4513919
PREDICTION_YEAR ~~ PREDICTION_YEAR 0.1616425 0.0315882 5.117181 0.0000003 0.0997308 0.2235542
PREDICTION_OBLIGATIONS ~~ PREDICTION_OBLIGATIONS 0.3442536 0.0407867 8.440329 0.0000000 0.2643130 0.4241941
PREDICTION_ECTS ~~ PREDICTION_ECTS 0.2979490 0.0372913 7.989763 0.0000000 0.2248593 0.3710387
PREDICTION_PROGRAM ~~ PREDICTION_PROGRAM 0.7891959 0.0815005 9.683328 0.0000000 0.6294579 0.9489339
BADGES_COMPARISON ~~ BADGES_COMPARISON 0.4565121 0.0659478 6.922322 0.0000000 0.3272567 0.5857675
BADGES_COLLECTING ~~ BADGES_COLLECTING 0.4066741 0.0676003 6.015866 0.0000000 0.2741800 0.5391682
AWARDS ~~ AWARDS 0.6176248 0.0770163 8.019404 0.0000000 0.4666756 0.7685740
COMPETITIONS ~~ COMPETITIONS 0.9393980 0.1043026 9.006472 0.0000000 0.7349688 1.1438273
TEACHERS_CONTEVAL ~~ TEACHERS_CONTEVAL 0.2972855 0.1617199 1.838274 0.0660220 -0.0196797 0.6142507
TEACHERS_FEEDBACK ~~ TEACHERS_FEEDBACK 0.4189628 0.1303546 3.214023 0.0013089 0.1634724 0.6744531
MR2 ~~ MR2 1.4182179 0.1804173 7.860763 0.0000000 1.0646064 1.7718294
MR1 ~~ MR1 0.1268628 0.0456355 2.779917 0.0054373 0.0374189 0.2163066
MR3 ~~ MR3 1.0757510 0.1429842 7.523565 0.0000000 0.7955071 1.3559949
MR4 ~~ MR4 1.1622659 0.1638145 7.095012 0.0000000 0.8411954 1.4833365
MR5 ~~ MR5 0.9379289 0.1997964 4.694424 0.0000027 0.5463352 1.3295227
MR2 ~~ MR1 0.0960410 0.0371803 2.583118 0.0097912 0.0231690 0.1689130
MR2 ~~ MR3 0.5150297 0.1034683 4.977658 0.0000006 0.3122356 0.7178238
MR2 ~~ MR4 0.7453592 0.1197821 6.222627 0.0000000 0.5105906 0.9801277
MR2 ~~ MR5 0.3042911 0.0974685 3.121943 0.0017966 0.1132563 0.4953258
MR1 ~~ MR3 0.2034621 0.0479601 4.242320 0.0000221 0.1094620 0.2974621
MR1 ~~ MR4 0.1584265 0.0428253 3.699366 0.0002161 0.0744904 0.2423625
MR1 ~~ MR5 0.0974163 0.0341899 2.849274 0.0043819 0.0304054 0.1644273
MR3 ~~ MR4 0.4452378 0.0960790 4.634080 0.0000036 0.2569264 0.6335492
MR3 ~~ MR5 0.2140529 0.0839839 2.548737 0.0108114 0.0494475 0.3786583
MR4 ~~ MR5 0.3598194 0.0944274 3.810538 0.0001387 0.1747450 0.5448938

Parametri (sve stare varijable)

Parametri (sve stare varijable)
lhs op rhs est se z pvalue ci.lower ci.upper
MR2 =~ COMPARISON_EXAMS 1.0000000 0.0000000 NA NA 1.0000000 1.0000000
MR2 =~ COMPARISON_ECTS 0.9875479 0.0537200 18.383238 0.0000000 0.8822586 1.0928372
MR2 =~ COMPARISON_GRADES 1.0403685 0.0525664 19.791503 0.0000000 0.9373402 1.1433968
MR2 =~ COMPARISON_OBLIGATIONS 0.9105448 0.0575959 15.809205 0.0000000 0.7976590 1.0234306
MR2 =~ STATUS_STUDENTS 0.8862259 0.0648389 13.668128 0.0000000 0.7591440 1.0133077
MR2 =~ ECTSAVG_STUDY 0.8529934 0.0543699 15.688704 0.0000000 0.7464304 0.9595565
MR2 =~ ECTSAVG_COURSE 0.9226887 0.0518719 17.787819 0.0000000 0.8210216 1.0243559
MR2 =~ AVGGRADE_COURSE 0.6198809 0.0560435 11.060702 0.0000000 0.5100376 0.7297243
MR2 =~ PASSRATE_COURSE 0.3915468 0.0503978 7.769130 0.0000000 0.2927690 0.4903247
MR2 =~ COMPARISON_OTHERS 0.7712424 0.0683949 11.276316 0.0000000 0.6371909 0.9052940
MR1 =~ SCHEDULE 1.0000000 0.0000000 NA NA 1.0000000 1.0000000
MR1 =~ CALENDAR 1.1852309 0.3807858 3.112592 0.0018545 0.4389045 1.9315574
MR1 =~ COURSES 1.9228284 0.5486968 3.504355 0.0004577 0.8474024 2.9982544
MR1 =~ NOTIFICATIONS_COURSE 1.1816516 0.3817073 3.095701 0.0019635 0.4335190 1.9297843
MR1 =~ NOTIFICATIONS_DEADLINES 2.1419019 0.5857512 3.656675 0.0002555 0.9938506 3.2899532
MR1 =~ MESSAGES_TEACHER 1.9999274 0.5502345 3.634682 0.0002783 0.9214876 3.0783672
MR1 =~ MESSAGES_ADMIN 1.8376923 0.5722789 3.211183 0.0013219 0.7160462 2.9593383
MR1 =~ PPLAN_COURSE 4.6764823 1.0828004 4.318878 0.0000157 2.5542325 6.7987320
MR1 =~ PPLAN_STUDY 4.3224280 1.0105389 4.277349 0.0000189 2.3418080 6.3030479
MR1 =~ PPLAN_MONITORING 4.6899665 1.0794106 4.344933 0.0000139 2.5743605 6.8055725
MR1 =~ ECTS_MONITORING 2.1668931 0.5792665 3.740754 0.0001835 1.0315517 3.3022345
MR1 =~ PPLAN_EXTRACURRICULAR 3.5506082 0.8798336 4.035545 0.0000545 1.8261660 5.2750503
MR3 =~ RISK 1.0000000 0.0000000 NA NA 1.0000000 1.0000000
MR3 =~ PREDICTION_COURSE 2.0273086 0.2375583 8.533940 0.0000000 1.5617028 2.4929143
MR3 =~ PREDICTION_YEAR 2.2372993 0.2522072 8.870878 0.0000000 1.7429822 2.7316163
MR3 =~ PREDICTION_OBLIGATIONS 1.8041428 0.2140828 8.427312 0.0000000 1.3845482 2.2237374
MR3 =~ PREDICTION_ECTS 1.8970300 0.2215504 8.562522 0.0000000 1.4627993 2.3312607
MR3 =~ PREDICTION_PROGRAM 1.0838393 0.1734991 6.246946 0.0000000 0.7437874 1.4238913
MR3 =~ STATUS_CURRENT 0.5154270 0.1560172 3.303655 0.0009543 0.2096389 0.8212152
MR4 =~ BADGES_COMPARISON 1.0000000 0.0000000 NA NA 1.0000000 1.0000000
MR4 =~ BADGES_COLLECTING 1.0844429 0.0736391 14.726458 0.0000000 0.9401129 1.2287728
MR4 =~ AWARDS 0.9361140 0.0731732 12.793122 0.0000000 0.7926971 1.0795309
MR4 =~ COMPETITIONS 0.8056387 0.0792259 10.168877 0.0000000 0.6503587 0.9609186
MR5 =~ TEACHER_EVALUATION 1.0000000 0.0000000 NA NA 1.0000000 1.0000000
MR5 =~ TEACHER_PROFILE 0.9212047 0.1539224 5.984866 0.0000000 0.6195224 1.2228870
MR5 =~ TEACHERS_CONTEVAL 1.4184829 0.1791433 7.918148 0.0000000 1.0673686 1.7695972
MR5 =~ TEACHERS_FEEDBACK 1.2357012 0.1593700 7.753662 0.0000000 0.9233417 1.5480607
COMPARISON_EXAMS ~~ COMPARISON_EXAMS 0.4002786 0.0474035 8.444073 0.0000000 0.3073694 0.4931877
COMPARISON_ECTS ~~ COMPARISON_ECTS 0.3634635 0.0436059 8.335199 0.0000000 0.2779976 0.4489294
COMPARISON_GRADES ~~ COMPARISON_GRADES 0.2850768 0.0371060 7.682777 0.0000000 0.2123505 0.3578031
COMPARISON_OBLIGATIONS ~~ COMPARISON_OBLIGATIONS 0.5394362 0.0598828 9.008196 0.0000000 0.4220680 0.6568044
STATUS_STUDENTS ~~ STATUS_STUDENTS 0.7933900 0.0850632 9.327070 0.0000000 0.6266693 0.9601107
ECTSAVG_STUDY ~~ ECTSAVG_STUDY 0.4853504 0.0537468 9.030311 0.0000000 0.3800086 0.5906922
ECTSAVG_COURSE ~~ ECTSAVG_COURSE 0.3631516 0.0425504 8.534629 0.0000000 0.2797544 0.4465487
AVGGRADE_COURSE ~~ AVGGRADE_COURSE 0.6762753 0.0706539 9.571662 0.0000000 0.5377962 0.8147544
PASSRATE_COURSE ~~ PASSRATE_COURSE 0.6117080 0.0627063 9.755125 0.0000000 0.4888058 0.7346101
COMPARISON_OTHERS ~~ COMPARISON_OTHERS 0.9979253 0.1044343 9.555536 0.0000000 0.7932379 1.2026127
SCHEDULE ~~ SCHEDULE 0.3120871 0.0318277 9.805519 0.0000000 0.2497059 0.3744682
CALENDAR ~~ CALENDAR 0.4408876 0.0449608 9.806048 0.0000000 0.3527661 0.5290091
COURSES ~~ COURSES 0.6710901 0.0689169 9.737675 0.0000000 0.5360155 0.8061647
NOTIFICATIONS_COURSE ~~ NOTIFICATIONS_COURSE 0.4478077 0.0456572 9.808051 0.0000000 0.3583213 0.5372941
NOTIFICATIONS_DEADLINES ~~ NOTIFICATIONS_DEADLINES 0.6476041 0.0668239 9.691208 0.0000000 0.5166317 0.7785765
MESSAGES_TEACHER ~~ MESSAGES_TEACHER 0.5866537 0.0604855 9.699073 0.0000000 0.4681042 0.7052032
MESSAGES_ADMIN ~~ MESSAGES_ADMIN 0.9318955 0.0951576 9.793182 0.0000000 0.7453901 1.1184009
PPLAN_COURSE ~~ PPLAN_COURSE 0.2662747 0.0362443 7.346667 0.0000000 0.1952372 0.3373122
PPLAN_STUDY ~~ PPLAN_STUDY 0.3496356 0.0422524 8.274929 0.0000000 0.2668224 0.4324487
PPLAN_MONITORING ~~ PPLAN_MONITORING 0.1726776 0.0287099 6.014577 0.0000000 0.1164074 0.2289479
ECTS_MONITORING ~~ ECTS_MONITORING 0.5679896 0.0588209 9.656251 0.0000000 0.4527027 0.6832765
PPLAN_EXTRACURRICULAR ~~ PPLAN_EXTRACURRICULAR 0.7544306 0.0802157 9.405024 0.0000000 0.5972107 0.9116505
RISK ~~ RISK 0.5778459 0.0599150 9.644432 0.0000000 0.4604147 0.6952771
PREDICTION_COURSE ~~ PREDICTION_COURSE 0.3597369 0.0442339 8.132601 0.0000000 0.2730400 0.4464338
PREDICTION_YEAR ~~ PREDICTION_YEAR 0.1743705 0.0315418 5.528238 0.0000000 0.1125498 0.2361913
PREDICTION_OBLIGATIONS ~~ PREDICTION_OBLIGATIONS 0.3409264 0.0404035 8.438033 0.0000000 0.2617369 0.4201159
PREDICTION_ECTS ~~ PREDICTION_ECTS 0.2987133 0.0372005 8.029814 0.0000000 0.2258016 0.3716250
PREDICTION_PROGRAM ~~ PREDICTION_PROGRAM 0.7847625 0.0810781 9.679097 0.0000000 0.6258524 0.9436726
STATUS_CURRENT ~~ STATUS_CURRENT 1.0322480 0.1046713 9.861802 0.0000000 0.8270960 1.2374001
BADGES_COMPARISON ~~ BADGES_COMPARISON 0.4558086 0.0657808 6.929207 0.0000000 0.3268806 0.5847365
BADGES_COLLECTING ~~ BADGES_COLLECTING 0.4081557 0.0674817 6.048393 0.0000000 0.2758940 0.5404173
AWARDS ~~ AWARDS 0.6171504 0.0769113 8.024188 0.0000000 0.4664071 0.7678937
COMPETITIONS ~~ COMPETITIONS 0.9390469 0.1042378 9.008702 0.0000000 0.7347447 1.1433492
TEACHER_EVALUATION ~~ TEACHER_EVALUATION 0.8475809 0.0955718 8.868523 0.0000000 0.6602636 1.0348983
TEACHER_PROFILE ~~ TEACHER_PROFILE 0.9928445 0.1083294 9.165050 0.0000000 0.7805228 1.2051663
TEACHERS_CONTEVAL ~~ TEACHERS_CONTEVAL 0.3287948 0.0746144 4.406585 0.0000105 0.1825532 0.4750364
TEACHERS_FEEDBACK ~~ TEACHERS_FEEDBACK 0.4588102 0.0699528 6.558852 0.0000000 0.3217052 0.5959152
MR2 ~~ MR2 1.4112524 0.1801760 7.832631 0.0000000 1.0581139 1.7643910
MR1 ~~ MR1 0.0337062 0.0156657 2.151595 0.0314293 0.0030020 0.0644103
MR3 ~~ MR3 0.2627119 0.0631266 4.161669 0.0000316 0.1389861 0.3864377
MR4 ~~ MR4 1.1629627 0.1637866 7.100473 0.0000000 0.8419468 1.4839787
MR5 ~~ MR5 0.4504851 0.1080116 4.170709 0.0000304 0.2387862 0.6621840
MR2 ~~ MR1 0.0494975 0.0204200 2.423968 0.0153520 0.0094750 0.0895201
MR2 ~~ MR3 0.2588387 0.0573793 4.511015 0.0000065 0.1463774 0.3713000
MR2 ~~ MR4 0.7555618 0.1201310 6.289482 0.0000000 0.5201093 0.9910142
MR2 ~~ MR5 0.2701817 0.0728660 3.707924 0.0002090 0.1273669 0.4129964
MR1 ~~ MR3 0.0535108 0.0156856 3.411461 0.0006462 0.0227676 0.0842540
MR1 ~~ MR4 0.0828137 0.0253252 3.270013 0.0010754 0.0331772 0.1324502
MR1 ~~ MR5 0.0384627 0.0141544 2.717360 0.0065805 0.0107205 0.0662049
MR3 ~~ MR4 0.2223659 0.0525312 4.233022 0.0000231 0.1194065 0.3253252
MR3 ~~ MR5 0.0925775 0.0316307 2.926822 0.0034245 0.0305824 0.1545727
MR4 ~~ MR5 0.2813742 0.0706421 3.983096 0.0000680 0.1429182 0.4198301

Normalizirani parametri

Column

Normalizirani parametri (cutoff=0.4)

Normalizirani parametri (cutoff=0.4)
lhs op rhs est.std se z pvalue ci.lower ci.upper
MR2 =~ COMPARISON_EXAMS 0.8848051 0.0174080 50.827426 0.0000000 0.8506860 0.9189242
MR2 =~ COMPARISON_ECTS 0.8931576 0.0163915 54.489011 0.0000000 0.8610308 0.9252844
MR2 =~ COMPARISON_GRADES 0.9199231 0.0131443 69.986321 0.0000000 0.8941606 0.9456855
MR2 =~ COMPARISON_OBLIGATIONS 0.8300178 0.0239521 34.653174 0.0000000 0.7830725 0.8769632
MR2 =~ STATUS_STUDENTS 0.7588173 0.0319418 23.756225 0.0000000 0.6962124 0.8214221
MR2 =~ ECTSAVG_STUDY 0.8213104 0.0249636 32.900373 0.0000000 0.7723828 0.8702381
MR2 =~ ECTSAVG_COURSE 0.8755201 0.0185347 47.236910 0.0000000 0.8391929 0.9118474
MR2 =~ AVGGRADE_COURSE 0.6605555 0.0418470 15.785006 0.0000000 0.5785368 0.7425741
MR1 =~ NOTIFICATIONS_DEADLINES 0.3976620 0.0635064 6.261764 0.0000000 0.2731917 0.5221322
MR1 =~ PPLAN_COURSE 0.8655766 0.0238837 36.241318 0.0000000 0.8187654 0.9123878
MR1 =~ PPLAN_STUDY 0.8211208 0.0280275 29.296999 0.0000000 0.7661879 0.8760536
MR1 =~ PPLAN_MONITORING 0.9106365 0.0202681 44.929510 0.0000000 0.8709118 0.9503613
MR3 =~ PREDICTION_COURSE 0.8644769 0.0207554 41.650623 0.0000000 0.8237970 0.9051568
MR3 =~ PREDICTION_YEAR 0.9441768 0.0123505 76.448286 0.0000000 0.9199702 0.9683834
MR3 =~ PREDICTION_OBLIGATIONS 0.8439026 0.0231118 36.513938 0.0000000 0.7986043 0.8892008
MR3 =~ PREDICTION_ECTS 0.8720771 0.0198888 43.847699 0.0000000 0.8330959 0.9110584
MR3 =~ PREDICTION_PROGRAM 0.5274471 0.0536080 9.838969 0.0000000 0.4223774 0.6325167
MR4 =~ BADGES_COMPARISON 0.8473427 0.0264781 32.001670 0.0000000 0.7954466 0.8992388
MR4 =~ BADGES_COLLECTING 0.8780624 0.0237472 36.975422 0.0000000 0.8315188 0.9246060
MR4 =~ AWARDS 0.7890130 0.0321364 24.551988 0.0000000 0.7260268 0.8519992
MR4 =~ COMPETITIONS 0.6673949 0.0439982 15.168701 0.0000000 0.5811601 0.7536297
MR5 =~ TEACHERS_CONTEVAL 0.8713924 0.0757925 11.497073 0.0000000 0.7228418 1.0199431
MR5 =~ TEACHERS_FEEDBACK 0.7966374 0.0723551 11.010110 0.0000000 0.6548241 0.9384508
COMPARISON_EXAMS ~~ COMPARISON_EXAMS 0.2171199 0.0308054 7.048107 0.0000000 0.1567424 0.2774974
COMPARISON_ECTS ~~ COMPARISON_ECTS 0.2022695 0.0292804 6.908011 0.0000000 0.1448809 0.2596580
COMPARISON_GRADES ~~ COMPARISON_GRADES 0.1537416 0.0241835 6.357282 0.0000000 0.1063427 0.2011404
COMPARISON_OBLIGATIONS ~~ COMPARISON_OBLIGATIONS 0.3110704 0.0397614 7.823423 0.0000000 0.2331394 0.3890013
STATUS_STUDENTS ~~ STATUS_STUDENTS 0.4241963 0.0484760 8.750642 0.0000000 0.3291851 0.5192076
ECTSAVG_STUDY ~~ ECTSAVG_STUDY 0.3254492 0.0410057 7.936687 0.0000000 0.2450795 0.4058188
ECTSAVG_COURSE ~~ ECTSAVG_COURSE 0.2334645 0.0324549 7.193496 0.0000000 0.1698540 0.2970750
AVGGRADE_COURSE ~~ AVGGRADE_COURSE 0.5636665 0.0552846 10.195732 0.0000000 0.4553108 0.6720222
NOTIFICATIONS_DEADLINES ~~ NOTIFICATIONS_DEADLINES 0.8418650 0.0505081 16.667906 0.0000000 0.7428708 0.9408591
PPLAN_COURSE ~~ PPLAN_COURSE 0.2507771 0.0413463 6.065279 0.0000000 0.1697398 0.3318144
PPLAN_STUDY ~~ PPLAN_STUDY 0.3257607 0.0460279 7.077465 0.0000000 0.2355477 0.4159737
PPLAN_MONITORING ~~ PPLAN_MONITORING 0.1707411 0.0369138 4.625403 0.0000037 0.0983914 0.2430908
PREDICTION_COURSE ~~ PREDICTION_COURSE 0.2526797 0.0358852 7.041336 0.0000000 0.1823460 0.3230134
PREDICTION_YEAR ~~ PREDICTION_YEAR 0.1085302 0.0233222 4.653519 0.0000033 0.0628195 0.1542408
PREDICTION_OBLIGATIONS ~~ PREDICTION_OBLIGATIONS 0.2878285 0.0390082 7.378666 0.0000000 0.2113738 0.3642832
PREDICTION_ECTS ~~ PREDICTION_ECTS 0.2394815 0.0346891 6.903652 0.0000000 0.1714921 0.3074708
PREDICTION_PROGRAM ~~ PREDICTION_PROGRAM 0.7217996 0.0565507 12.763756 0.0000000 0.6109622 0.8326370
BADGES_COMPARISON ~~ BADGES_COMPARISON 0.2820103 0.0448720 6.284770 0.0000000 0.1940628 0.3699579
BADGES_COLLECTING ~~ BADGES_COLLECTING 0.2290064 0.0417030 5.491362 0.0000000 0.1472700 0.3107429
AWARDS ~~ AWARDS 0.3774585 0.0507121 7.443162 0.0000000 0.2780645 0.4768524
COMPETITIONS ~~ COMPETITIONS 0.5545841 0.0587283 9.443220 0.0000000 0.4394788 0.6696894
TEACHERS_CONTEVAL ~~ TEACHERS_CONTEVAL 0.2406752 0.1320901 1.822053 0.0684469 -0.0182166 0.4995671
TEACHERS_FEEDBACK ~~ TEACHERS_FEEDBACK 0.3653688 0.1152815 3.169361 0.0015277 0.1394211 0.5913165
MR2 ~~ MR2 1.0000000 0.0000000 NA NA 1.0000000 1.0000000
MR1 ~~ MR1 1.0000000 0.0000000 NA NA 1.0000000 1.0000000
MR3 ~~ MR3 1.0000000 0.0000000 NA NA 1.0000000 1.0000000
MR4 ~~ MR4 1.0000000 0.0000000 NA NA 1.0000000 1.0000000
MR5 ~~ MR5 1.0000000 0.0000000 NA NA 1.0000000 1.0000000
MR2 ~~ MR1 0.2264217 0.0728629 3.107504 0.0018867 0.0836131 0.3692303
MR2 ~~ MR3 0.4169701 0.0626823 6.652116 0.0000000 0.2941150 0.5398252
MR2 ~~ MR4 0.5805523 0.0533181 10.888465 0.0000000 0.4760508 0.6850539
MR2 ~~ MR5 0.2638352 0.0754882 3.495052 0.0004740 0.1158810 0.4117894
MR1 ~~ MR3 0.5507575 0.0555193 9.920104 0.0000000 0.4419416 0.6595734
MR1 ~~ MR4 0.4125797 0.0671979 6.139775 0.0000000 0.2808744 0.5442851
MR1 ~~ MR5 0.2824098 0.0769229 3.671333 0.0002413 0.1316436 0.4331759
MR3 ~~ MR4 0.3981836 0.0664967 5.988024 0.0000000 0.2678526 0.5285147
MR3 ~~ MR5 0.2130984 0.0776286 2.745103 0.0060492 0.0609492 0.3652476
MR4 ~~ MR5 0.3446250 0.0751454 4.586107 0.0000045 0.1973427 0.4919074

Normalizirani parametri (sve stare varijable)

Normalizirani parametri (sve stare varijable)
lhs op rhs est.std se z pvalue ci.lower ci.upper
MR2 =~ COMPARISON_EXAMS 0.8826316 0.0175774 50.214022 0.0000000 0.8481805 0.9170826
MR2 =~ COMPARISON_ECTS 0.8894310 0.0167469 53.110163 0.0000000 0.8566077 0.9222544
MR2 =~ COMPARISON_GRADES 0.9179990 0.0132533 69.265788 0.0000000 0.8920231 0.9439750
MR2 =~ COMPARISON_OBLIGATIONS 0.8273130 0.0241889 34.202171 0.0000000 0.7799037 0.8747224
MR2 =~ STATUS_STUDENTS 0.7634250 0.0313742 24.332903 0.0000000 0.7019327 0.8249172
MR2 =~ ECTSAVG_STUDY 0.8240377 0.0245699 33.538458 0.0000000 0.7758815 0.8721939
MR2 =~ ECTSAVG_COURSE 0.8762985 0.0183485 47.758543 0.0000000 0.8403361 0.9122609
MR2 =~ AVGGRADE_COURSE 0.6670963 0.0411640 16.205821 0.0000000 0.5864163 0.7477762
MR2 =~ PASSRATE_COURSE 0.5111563 0.0542502 9.422200 0.0000000 0.4048278 0.6174847
MR2 =~ COMPARISON_OTHERS 0.6759214 0.0403208 16.763592 0.0000000 0.5968941 0.7549488
MR1 =~ SCHEDULE 0.3122097 0.0675755 4.620162 0.0000038 0.1797642 0.4446552
MR1 =~ CALENDAR 0.3114170 0.0676106 4.606040 0.0000041 0.1789027 0.4439312
MR1 =~ COURSES 0.3957469 0.0633824 6.243794 0.0000000 0.2715196 0.5199742
MR1 =~ NOTIFICATIONS_COURSE 0.3083883 0.0677437 4.552277 0.0000053 0.1756130 0.4411635
MR1 =~ NOTIFICATIONS_DEADLINES 0.4390382 0.0608228 7.218313 0.0000000 0.3198276 0.5582487
MR1 =~ MESSAGES_TEACHER 0.4322751 0.0612400 7.058700 0.0000000 0.3122468 0.5523033
MR1 =~ MESSAGES_ADMIN 0.3299276 0.0667685 4.941368 0.0000008 0.1990638 0.4607914
MR1 =~ PPLAN_COURSE 0.8571059 0.0236381 36.259448 0.0000000 0.8107760 0.9034358
MR1 =~ PPLAN_STUDY 0.8018750 0.0294662 27.213361 0.0000000 0.7441222 0.8596277
MR1 =~ PPLAN_MONITORING 0.9006051 0.0193366 46.575123 0.0000000 0.8627060 0.9385041
MR1 =~ ECTS_MONITORING 0.4668182 0.0590419 7.906563 0.0000000 0.3510983 0.5825381
MR1 =~ PPLAN_EXTRACURRICULAR 0.6002533 0.0489946 12.251419 0.0000000 0.5042257 0.6962810
MR3 =~ RISK 0.5590570 0.0511657 10.926412 0.0000000 0.4587742 0.6593398
MR3 =~ PREDICTION_COURSE 0.8660785 0.0205174 42.211992 0.0000000 0.8258653 0.9062918
MR3 =~ PREDICTION_YEAR 0.9396403 0.0125428 74.914457 0.0000000 0.9150568 0.9642238
MR3 =~ PREDICTION_OBLIGATIONS 0.8455489 0.0228839 36.949516 0.0000000 0.8006973 0.8904005
MR3 =~ PREDICTION_ECTS 0.8717247 0.0198677 43.876564 0.0000000 0.8327848 0.9106646
MR3 =~ PREDICTION_PROGRAM 0.5312767 0.0533180 9.964302 0.0000000 0.4267753 0.6357781
MR3 =~ STATUS_CURRENT 0.2516565 0.0688980 3.652595 0.0002596 0.1166189 0.3866941
MR4 =~ BADGES_COMPARISON 0.8475984 0.0264124 32.090950 0.0000000 0.7958311 0.8993658
MR4 =~ BADGES_COLLECTING 0.8775871 0.0237337 36.976476 0.0000000 0.8310700 0.9241043
MR4 =~ AWARDS 0.7891957 0.0320932 24.590761 0.0000000 0.7262943 0.8520972
MR4 =~ COMPETITIONS 0.6675486 0.0439680 15.182605 0.0000000 0.5813729 0.7537243
MR5 =~ TEACHER_EVALUATION 0.5891038 0.0542797 10.853123 0.0000000 0.4827176 0.6954900
MR5 =~ TEACHER_PROFILE 0.5272588 0.0587959 8.967610 0.0000000 0.4120209 0.6424966
MR5 =~ TEACHERS_CONTEVAL 0.8566302 0.0368553 23.243085 0.0000000 0.7843952 0.9288652
MR5 =~ TEACHERS_FEEDBACK 0.7745193 0.0410726 18.857323 0.0000000 0.6940185 0.8550201
COMPARISON_EXAMS ~~ COMPARISON_EXAMS 0.2209615 0.0310287 7.121192 0.0000000 0.1601463 0.2817767
COMPARISON_ECTS ~~ COMPARISON_ECTS 0.2089124 0.0297904 7.012734 0.0000000 0.1505242 0.2673006
COMPARISON_GRADES ~~ COMPARISON_GRADES 0.1572777 0.0243330 6.463557 0.0000000 0.1095859 0.2049696
COMPARISON_OBLIGATIONS ~~ COMPARISON_OBLIGATIONS 0.3155531 0.0400236 7.884178 0.0000000 0.2371083 0.3939979
STATUS_STUDENTS ~~ STATUS_STUDENTS 0.4171823 0.0479037 8.708776 0.0000000 0.3232929 0.5110718
ECTSAVG_STUDY ~~ ECTSAVG_STUDY 0.3209619 0.0404931 7.926335 0.0000000 0.2415969 0.4003269
ECTSAVG_COURSE ~~ ECTSAVG_COURSE 0.2321009 0.0321576 7.217617 0.0000000 0.1690733 0.2951286
AVGGRADE_COURSE ~~ AVGGRADE_COURSE 0.5549825 0.0549207 10.105163 0.0000000 0.4473400 0.6626251
PASSRATE_COURSE ~~ PASSRATE_COURSE 0.7387192 0.0554607 13.319695 0.0000000 0.6300183 0.8474202
COMPARISON_OTHERS ~~ COMPARISON_OTHERS 0.5431302 0.0545074 9.964341 0.0000000 0.4362977 0.6499627
SCHEDULE ~~ SCHEDULE 0.9025251 0.0421955 21.389155 0.0000000 0.8198235 0.9852267
CALENDAR ~~ CALENDAR 0.9030195 0.0421102 21.444221 0.0000000 0.8204851 0.9855539
COURSES ~~ COURSES 0.8433844 0.0501668 16.811600 0.0000000 0.7450592 0.9417095
NOTIFICATIONS_COURSE ~~ NOTIFICATIONS_COURSE 0.9048967 0.0417827 21.657184 0.0000000 0.8230040 0.9867894
NOTIFICATIONS_DEADLINES ~~ NOTIFICATIONS_DEADLINES 0.8072455 0.0534071 15.114952 0.0000000 0.7025695 0.9119214
MESSAGES_TEACHER ~~ MESSAGES_TEACHER 0.8131383 0.0529451 15.358144 0.0000000 0.7093678 0.9169087
MESSAGES_ADMIN ~~ MESSAGES_ADMIN 0.8911478 0.0440575 20.226910 0.0000000 0.8047966 0.9774989
PPLAN_COURSE ~~ PPLAN_COURSE 0.2653695 0.0405208 6.548973 0.0000000 0.1859502 0.3447887
PPLAN_STUDY ~~ PPLAN_STUDY 0.3569966 0.0472565 7.554451 0.0000000 0.2643756 0.4496175
PPLAN_MONITORING ~~ PPLAN_MONITORING 0.1889105 0.0348293 5.423895 0.0000001 0.1206463 0.2571747
ECTS_MONITORING ~~ ECTS_MONITORING 0.7820808 0.0551236 14.187759 0.0000000 0.6740405 0.8901211
PPLAN_EXTRACURRICULAR ~~ PPLAN_EXTRACURRICULAR 0.6396960 0.0588183 10.875791 0.0000000 0.5244141 0.7549778
RISK ~~ RISK 0.6874553 0.0572090 12.016551 0.0000000 0.5753276 0.7995829
PREDICTION_COURSE ~~ PREDICTION_COURSE 0.2499080 0.0355393 7.031879 0.0000000 0.1802522 0.3195637
PREDICTION_YEAR ~~ PREDICTION_YEAR 0.1170761 0.0235715 4.966847 0.0000007 0.0708768 0.1632755
PREDICTION_OBLIGATIONS ~~ PREDICTION_OBLIGATIONS 0.2850470 0.0386989 7.365763 0.0000000 0.2091985 0.3608955
PREDICTION_ECTS ~~ PREDICTION_ECTS 0.2400961 0.0346383 6.931529 0.0000000 0.1722064 0.3079858
PREDICTION_PROGRAM ~~ PREDICTION_PROGRAM 0.7177450 0.0566532 12.669093 0.0000000 0.6067068 0.8287833
STATUS_CURRENT ~~ STATUS_CURRENT 0.9366690 0.0346773 27.011046 0.0000000 0.8687028 1.0046352
BADGES_COMPARISON ~~ BADGES_COMPARISON 0.2815769 0.0447742 6.288822 0.0000000 0.1938211 0.3693327
BADGES_COLLECTING ~~ BADGES_COLLECTING 0.2298408 0.0416567 5.517498 0.0000000 0.1481952 0.3114865
AWARDS ~~ AWARDS 0.3771701 0.0506556 7.445772 0.0000000 0.2778869 0.4764532
COMPETITIONS ~~ COMPETITIONS 0.5543789 0.0587015 9.444026 0.0000000 0.4393260 0.6694318
TEACHER_EVALUATION ~~ TEACHER_EVALUATION 0.6529567 0.0639527 10.209994 0.0000000 0.5276117 0.7783017
TEACHER_PROFILE ~~ TEACHER_PROFILE 0.7219982 0.0620013 11.644885 0.0000000 0.6004779 0.8435185
TEACHERS_CONTEVAL ~~ TEACHERS_CONTEVAL 0.2661847 0.0631427 4.215607 0.0000249 0.1424273 0.3899421
TEACHERS_FEEDBACK ~~ TEACHERS_FEEDBACK 0.4001199 0.0636230 6.288915 0.0000000 0.2754210 0.5248188
MR2 ~~ MR2 1.0000000 0.0000000 NA NA 1.0000000 1.0000000
MR1 ~~ MR1 1.0000000 0.0000000 NA NA 1.0000000 1.0000000
MR3 ~~ MR3 1.0000000 0.0000000 NA NA 1.0000000 1.0000000
MR4 ~~ MR4 1.0000000 0.0000000 NA NA 1.0000000 1.0000000
MR5 ~~ MR5 1.0000000 0.0000000 NA NA 1.0000000 1.0000000
MR2 ~~ MR1 0.2269481 0.0725567 3.127874 0.0017608 0.0847397 0.3691565
MR2 ~~ MR3 0.4250960 0.0621408 6.840851 0.0000000 0.3033022 0.5468897
MR2 ~~ MR4 0.5897728 0.0524945 11.234943 0.0000000 0.4868854 0.6926601
MR2 ~~ MR5 0.3388545 0.0716094 4.731984 0.0000022 0.1985027 0.4792064
MR1 ~~ MR3 0.5686521 0.0538470 10.560521 0.0000000 0.4631140 0.6741903
MR1 ~~ MR4 0.4182776 0.0666192 6.278637 0.0000000 0.2877065 0.5488488
MR1 ~~ MR5 0.3121366 0.0747505 4.175714 0.0000297 0.1656284 0.4586449
MR3 ~~ MR4 0.4022956 0.0662749 6.070107 0.0000000 0.2723993 0.5321920
MR3 ~~ MR5 0.2691073 0.0751977 3.578663 0.0003454 0.1217225 0.4164922
MR4 ~~ MR5 0.3887417 0.0720411 5.396111 0.0000001 0.2475438 0.5299396
---
title: "Faktorska analiza"
output: 
  flexdashboard::flex_dashboard:
    social: menu
    orientation: columns
    vertical_layout: fill
    source_code: embed
---

```{css, echo=FALSE}
.sidebar { overflow: auto; }
.dataTables_scrollBody {
    height:95% !important;
    max-height:95% !important;
}
.chart-stage-flex {
    overflow:auto !important;
}
```

```{r setup, include=FALSE}
library(DT)
library(knitr)
library(kableExtra)
library(psych)
library(readxl)
library(tidyverse)
library(corrplot)
library(svgPanZoom)
library(lavaan)
library(parameters)

cols <- c("osoba", "DYNAMICS", "AVERAGE_COMPARISON", "REQUESTS", "MESSAGES_SU",
          "EXTRACURRICULAR", "STATUS_COMPARISON", "PREDICTION_GROUP", 
          "TEACHERS", "BADGES", "ABSENCE", "TIMELINE", "AVERAGE", "ASSESSMENT_EXAMS", "ASSESSMENT_CONT")
podaci_EFA <- read_excel('potrebe_studenata_2017.xlsx', sheet=1) %>% select(-one_of(cols))
new_cols <- c("osoba",  "DASHBOARD", "DASHBOARD_CUSTOM",  "ABSENCE", "TIMELINE", "AVERAGE", "ASSESSMENT_EXAMS", "ASSESSMENT_CONT")
podaci_CFA <- read_excel('potrebe_studenata_2022.xlsx', sheet=1) %>% select(-one_of(new_cols))
EFA_model <- fa(podaci_EFA, nfactors = 5)
file.name <- './graf3.svg'
in.svg <- readChar(file.name, nchars = file.info(file.name)$size)

model1 <- efa_to_cfa(EFA_model, threshold = 0.6)
#model1 <- efa_to_cfa(EFA_model)
model2 <- 'MR2 =~ COMPARISON_EXAMS + COMPARISON_ECTS + COMPARISON_GRADES + COMPARISON_OBLIGATIONS + STATUS_STUDENTS + ECTSAVG_STUDY + ECTSAVG_COURSE + AVGGRADE_COURSE + PASSRATE_COURSE + COMPARISON_OTHERS
MR1 =~ SCHEDULE + CALENDAR + COURSES + NOTIFICATIONS_COURSE + NOTIFICATIONS_DEADLINES + MESSAGES_TEACHER + MESSAGES_ADMIN + PPLAN_COURSE + PPLAN_STUDY + PPLAN_MONITORING + PPLAN_EXTRACURRICULAR + NOTIFICATIONS_PRECLASS + SUGGESTION_TEAMS + ESTIMATION_TIME + SUGGESTION_LEARNING + ECTS_MONITORING
MR3 =~ RISK + PREDICTION_COURSE + PREDICTION_YEAR + PREDICTION_OBLIGATIONS + PREDICTION_ECTS + PREDICTION_PROGRAM + STATUS_CURRENT
MR4 =~ BADGES_COMPARISON + BADGES_COLLECTING + AWARDS + COMPETITIONS
MR5 =~ TEACHER_EVALUATION + TEACHER_PROFILE + TEACHERS_CONTEVAL + TEACHERS_FEEDBACK'

rez1 <- cfa(model1, podaci_CFA)
model2 <- efa_to_cfa(EFA_model)
rez2 <- cfa(model2, podaci_CFA)
```

Deskriptiva {data-navmenu="Podaci"}
=======================================================================

Column {.tabset .tabset-fade}
-----------------------------------------------------------------------

### Godina 2017.

```{r}
datatable(round(describe(podaci_EFA),2), filter = 'top',
    extensions = c('FixedColumns','Select', 'Buttons'),
    options = list(
      dom = 'Blfrtip',
      select = list(style = 'os', items = 'row'),
      buttons = c('selectAll', 'selectNone', 'selectRows', 'selectColumns', 'selectCells'),
      pageLength = 15,
      scrollX = TRUE,
      scrollY= TRUE,
      fixedColumns = TRUE
    )
)
```

### Godina 2022.

```{r}
datatable(round(describe(podaci_CFA),2), filter = 'top',
    extensions = c('FixedColumns','Select', 'Buttons'),
    options = list(
      dom = 'Blfrtip',
      select = list(style = 'os', items = 'row'),
      buttons = c('selectAll', 'selectNone', 'selectRows', 'selectColumns', 'selectCells'),
      pageLength = 15,
      scrollX = TRUE,
      scrollY= TRUE,
      fixedColumns = TRUE
    )
)
```

Deskriptiva - slike {data-navmenu="Podaci"}
=======================================================================

Column {data-width=400}
-----------------------------------------------------------------------

### Godina 2017.

```{r,fig.width = 12,fig.height=11}
error.dots(podaci_EFA, tail=30, head=30, sort=FALSE)
```

Column {data-width=400}
-----------------------------------------------------------------------

### Godina 2022.

```{r,fig.width = 12,fig.height=11}
error.dots(podaci_CFA, tail=30, head=30, sort=FALSE)
```

Korelacije {data-navmenu="Podaci"}
=======================================================================

Column {.tabset .tabset-fade}
-----------------------------------------------------------------------

### Godina 2017.

```{r}
datatable(round(corr.test(podaci_EFA, use = "pairwise.complete.obs", minlength=50)$ci, 2), filter = 'top',
    extensions = c('FixedColumns','Select', 'Buttons'),
    options = list(
      dom = 'Blfrtip',
      select = list(style = 'os', items = 'row'),
      buttons = c('selectAll', 'selectNone', 'selectRows', 'selectColumns', 'selectCells'),
      pageLength = 15,
      scrollX = TRUE,
      fixedColumns = TRUE
    )
)
```

### Godina 2022.

```{r}
datatable(round(corr.test(podaci_CFA, use = "pairwise.complete.obs", minlength=50)$ci, 2), filter = 'top',
    extensions = c('FixedColumns','Select', 'Buttons'),
    options = list(
      dom = 'Blfrtip',
      select = list(style = 'os', items = 'row'),
      buttons = c('selectAll', 'selectNone', 'selectRows', 'selectColumns', 'selectCells'),
      pageLength = 15,
      scrollX = TRUE,
      fixedColumns = TRUE
    )
)
```


Korelacije - slike {data-navmenu="Podaci"}
=======================================================================

## Column1 {.tabset .tabset-fade}

### korelacije 2017.

```{r}
corrplot(round(cor(podaci_EFA, use = "pairwise.complete.obs"), 2), type = "upper", tl.col = "black", tl.srt = 90,
         diag=FALSE, mar=c(0,0,0.1,0), tl.cex=0.4)
```

### p-vrijednosti 2017.

```{r}
corrplot(round(corr.test(podaci_EFA, use = "pairwise.complete.obs")$p, 2), type = "upper", tl.col = "black", tl.srt = 90,
         diag=FALSE, mar=c(0,0,0.1,0), tl.cex=0.4)
```

### korelacije 2022.

```{r}
corrplot(round(cor(podaci_CFA, use = "pairwise.complete.obs"), 2), type = "upper", tl.col = "black", tl.srt = 90,
         diag=FALSE, mar=c(0,0,0.1,0), tl.cex=0.4)
```

### p-vrijednosti 2022.

```{r}
corrplot(round(corr.test(podaci_CFA, use = "pairwise.complete.obs")$p, 2), type = "upper", tl.col = "black", tl.srt = 90,
         diag=FALSE, mar=c(0,0,0.1,0), tl.cex=0.4)
```

## Column1 {.tabset .tabset-fade}

### korelacije 2022.

```{r}
corrplot(round(cor(podaci_CFA, use = "pairwise.complete.obs"), 2), type = "upper", tl.col = "black", tl.srt = 90,
         diag=FALSE, mar=c(0,0,0.1,0), tl.cex=0.4)
```

### p-vrijednosti 2022.

```{r}
corrplot(round(corr.test(podaci_CFA, use = "pairwise.complete.obs")$p, 2), type = "upper", tl.col = "black", tl.srt = 90,
         diag=FALSE, mar=c(0,0,0.1,0), tl.cex=0.4)
```

### korelacije 2017.

```{r}
corrplot(round(cor(podaci_EFA, use = "pairwise.complete.obs"), 2), type = "upper", tl.col = "black", tl.srt = 90,
         diag=FALSE, mar=c(0,0,0.1,0), tl.cex=0.4)
```

### p-vrijednosti 2017.

```{r}
corrplot(round(corr.test(podaci_EFA, use = "pairwise.complete.obs")$p, 2), type = "upper", tl.col = "black", tl.srt = 90,
         diag=FALSE, mar=c(0,0,0.1,0), tl.cex=0.4)
```

Unutarnja pouzdanost {data-navmenu="EFA 2017"}
=======================================================================

Column {data-width=400}
-----------------------------------------------------------------------

### Cronbach alpha

```{r, attr.output='style="max-height: 100%;"'}
psych::alpha(podaci_EFA)
```

Column {data-width=400}
-----------------------------------------------------------------------

### split-half


```{r, attr.output='style="max-height: 100%;"'}
splitHalf(podaci_EFA)
```

### Kaiser-Meyer-Olkin

```{r, attr.output='style="max-height: 100%;"'}
KMO(podaci_EFA)
```

EFA - broj faktora {data-navmenu="EFA 2017"}
=======================================================================

Column {data-width=300}
-----------------------------------------------------------------------

### Svojstvene vrijednosti matrice korelacija

```{r warning=FALSE}
EFA_cor <- cor(podaci_EFA, use = "pairwise.complete.obs")
sv <- eigen(EFA_cor)
sv$values
```

Column {data-width=500}
-----------------------------------------------------------------------

### SCREE plot

```{r warning=FALSE,fig.width=8, fig.height=7}
scree(podaci_EFA)
```

EFA model {data-navmenu="EFA 2017"}
=======================================================================

Column {data-width=400}
-----------------------------------------------------------------------

### EFA - 5 faktora

```{r, attr.output='style="max-height: 100%;"'}
EFA_model
```

Column {data-width=400}
-----------------------------------------------------------------------

### Loadings (cutoff = 0.4)

```{r, attr.output='style="max-height: 100%;"'}
print(EFA_model$loadings, sort=TRUE, cutoff=0.6)
```

Loadings {data-navmenu="EFA 2017"}
=======================================================================

Column {.tabset .tabset-fade}
-----------------------------------------------------------------------

### Interaktivna tablica

```{r}
datatable(round(unclass(EFA_model$loadings),2), filter = 'top',
    extensions = c('FixedColumns','Select', 'Buttons'),
    options = list(
      dom = 'Blfrtip',
      select = list(style = 'os', items = 'row'),
      buttons = c('selectAll', 'selectNone', 'selectRows', 'selectColumns', 'selectCells'),
      pageLength = 15,
      scrollX = TRUE,
      fixedColumns = TRUE
    )
)
```

### graf

```{r}
svgPanZoom(in.svg, controlIconsEnabled = TRUE)
```

Scores {data-navmenu="EFA 2017"}
=======================================================================

Column {data-width=400}
-----------------------------------------------------------------------

### Funkcija gustoće

```{r warning=FALSE}
plot(density(EFA_model$scores, na.rm = TRUE), 
    main = "Factor Scores")
```

Column {data-width=400}
-----------------------------------------------------------------------

### tablica

```{r,attr.output='style="max-height: 100%;"'}
EFA_model$scores
```

Summary {data-navmenu="CFA 2022"}
=======================================================================

Column {.tabset .tabset-fade}
-----------------------------------------------------------------------

### Model (cutoff=0.4)

```{r}
model1
```

### Summary (cutoff=0.4)

```{r}
summary(rez1, fit.measures=TRUE)
```

### Sve mjere testa (cutoff=0.4)

```{r}
fitMeasures(rez1)
```

Column {.tabset .tabset-fade}
-----------------------------------------------------------------------

### Model (sve stare varijable)

```{r}
model2
```

### Summary (sve stare varijable)

```{r}
summary(rez2, fit.measures=TRUE)
```

### Sve mjere testa (sve stare varijable)

```{r}
fitMeasures(rez2)
```

Parametri {data-navmenu="CFA 2022"}
=======================================================================

Column {.tabset .tabset-fade}
-----------------------------------------------------------------------

### Parametri (cutoff=0.4)

```{r}
parameterEstimates(rez1) %>%
  kbl(caption = "Parametri (cutoff=0.4)") %>%
  kable_classic("hover",full_width = F, html_font = "Cambria")
```

### Parametri (sve stare varijable)

```{r}
parameterEstimates(rez2) %>%
  kbl(caption = "Parametri (sve stare varijable)") %>%
  kable_classic("hover",full_width = F, html_font = "Cambria")
```

Normalizirani parametri {data-navmenu="CFA 2022"}
=======================================================================

Column {.tabset .tabset-fade}
-----------------------------------------------------------------------

### Normalizirani parametri (cutoff=0.4)

```{r}
standardizedSolution(rez1) %>%
  kbl(caption = "Normalizirani parametri (cutoff=0.4)") %>%
  kable_classic("hover",full_width = F, html_font = "Cambria")
```

### Normalizirani parametri (sve stare varijable)

```{r}
standardizedSolution(rez2) %>%
  kbl(caption = "Normalizirani parametri (sve stare varijable)") %>%
  kable_classic("hover",full_width = F, html_font = "Cambria")
```