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
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 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
[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
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
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
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
[3,] 0.81723963 0.500235768 0.306716997 0.242426183 0.172753407
[4,] -0.02523446 -0.124559057 0.381441753 -1.158158304 -0.616097557
[5,] 0.93167174 0.995359830 0.266956151 1.542869970 1.433348685
[6,] -1.09445750 0.650220352 0.351045307 0.924322458 0.120650699
[7,] 0.78130079 0.125925578 0.973639990 0.013377458 0.468204989
[8,] 1.72479448 0.969318629 0.979252112 1.588651401 0.022286704
[9,] -0.65669079 -3.063289722 -1.449081035 0.577170329 -0.875227070
[10,] -2.24362124 -0.633784846 -2.866387973 -1.399424202 0.161869184
[11,] -0.88613577 0.899525539 0.091410324 -1.177490747 0.737381178
[12,] 0.34818486 -0.132099602 1.039135201 -0.107721020 -0.189964737
[13,] 1.81441383 0.036806313 0.882253428 0.306833616 0.953334036
[14,] 0.32659331 -1.200238503 -0.646559128 -0.799392764 1.685139757
[15,] -0.29467331 1.205246295 0.824805640 1.175034256 0.839456496
[16,] -0.32723013 -0.854898148 -0.750566052 -0.051365696 -0.889431948
[17,] 0.16425385 0.639838828 0.959050714 1.191272322 -0.103175440
[18,] 1.07850882 -0.274954710 -0.953525136 0.207654900 -0.341801589
[19,] 0.84901169 0.725179175 0.807301089 1.276301411 0.351686660
[20,] 1.10410587 0.362048362 0.952855876 -0.263990034 0.346866836
[21,] -1.49919694 0.017464905 -0.323262001 -0.132776830 0.601933211
[22,] 0.12369946 -0.150435111 0.058526028 -1.487914166 -0.140925146
[23,] 0.13574410 0.078919810 0.863413716 0.191029630 -0.342982702
[24,] 0.98843691 0.497626881 0.532483929 -0.658090697 0.255264710
[25,] 0.69875847 1.058647681 0.996732071 0.929010277 0.368306414
[26,] -1.27824650 0.832155857 0.235383531 0.051387713 -0.360061735
[27,] 0.04386225 0.978925737 0.809031202 -0.162380429 -0.930920974
[28,] -0.81469362 -0.457165815 0.413209058 0.722562281 -1.277381635
[29,] -0.44255260 1.194152718 0.476330770 1.020299812 1.271634946
[30,] -0.47655721 0.755292458 0.923276301 0.359463884 1.340942659
[31,] 0.19536798 0.929271968 -0.001056947 1.537520570 -0.530230555
[32,] -0.64536838 -0.006569391 0.175294252 -1.226760412 -1.427321601
[33,] -0.43673780 0.031396226 0.964399464 -1.637574102 0.318894413
[34,] -0.16375994 -0.022952331 0.072275060 -0.510371050 0.455266689
[35,] 1.69016091 1.069935173 0.983915699 1.774616842 1.411800563
[36,] -0.63799065 0.599361420 -1.538622029 0.402446344 0.264977442
[37,] 0.24739612 0.337824151 0.755561364 1.008744573 -0.631483029
[38,] -1.52632741 0.377972228 0.686228913 1.339567242 -0.250658899
[39,] -1.13305465 0.533782343 0.007639186 -0.328576830 -0.610671993
[40,] 0.80408732 0.601150331 0.930641117 -1.393751782 1.248774799
[41,] 1.33101822 0.777460688 -0.163629598 -0.566727280 0.914326869
[42,] -0.33646910 0.071485190 -1.195873152 -1.376833363 -0.546258069
[43,] 1.08085061 -0.537215652 0.783342048 0.795234723 -0.603292195
[44,] -0.32045211 0.061941871 1.021292251 -0.381914771 1.430822297
[45,] -0.74524982 -0.424602039 -0.073122171 -0.720005896 -0.085468342
[46,] -0.42647167 0.899618986 0.292886199 -0.257312764 0.552751283
[47,] 0.14533012 0.243505972 0.912481596 -0.061734704 -0.299443159
[48,] -1.09692679 0.940836406 0.858916542 -0.490360935 0.093908955
[49,] 0.90853480 1.112385203 -1.161296287 1.060550279 0.967969833
[50,] -1.62375296 -0.114630183 -1.306779076 -1.147119814 -0.865407201
[51,] -0.78116882 0.954922818 0.902091976 -1.189848310 0.989038604
[52,] 0.06664104 0.017278665 0.326206094 0.382505428 0.811951099
[53,] 0.77089318 -0.073914706 -0.554236058 0.915031245 0.074628443
[54,] 1.74565054 0.218611737 0.874357260 1.064717935 0.513988984
[55,] -0.06043103 0.648310381 0.121409893 1.097163716 1.416058360
[56,] 0.06111067 0.948129265 0.077197068 -0.254331988 -0.222747761
[57,] 0.28244860 0.648473218 -2.225211979 0.780383780 -0.293856093
[58,] -0.86897477 -0.243899546 -0.396009099 1.046402604 -0.163386412
[59,] 1.35635012 -0.037889874 0.380285793 1.132631944 -0.237223519
[60,] 0.05838373 0.660143650 1.004605126 0.757231805 0.128512473
[61,] 0.49674730 -0.527729737 -0.370213649 0.737089832 -0.059332386
[62,] -0.65065781 1.305021951 -0.179733200 -0.153619608 -2.400940779
[63,] 1.55045498 0.208210280 0.571958917 0.457119008 0.450466242
[64,] 1.56227793 -0.030822934 0.899411669 -0.457860136 -1.459845470
[65,] -0.50871716 -0.001716999 -0.233342414 0.578642173 -0.198380876
[66,] 0.10227902 -0.688510175 0.123042425 -0.218202221 -0.317023888
[67,] 1.57997385 0.006201736 -0.140952092 -1.424764769 -1.625854957
[68,] 1.02127880 1.189856940 0.515117624 0.918037922 0.734002812
[69,] -0.75555310 0.844160866 -0.614302768 -0.216629946 0.939846887
[70,] -0.81728909 -0.157358002 0.062416953 -0.326334641 -0.199369616
[71,] 0.19297740 0.325515081 0.164936762 0.614399111 0.023300710
[72,] 0.57683577 0.452083924 0.884748035 1.614392060 -0.660674049
[73,] 0.10238243 0.395724503 0.300764082 0.135893437 -0.014030239
[74,] -0.01562971 0.331980519 0.513912789 -0.293547375 -1.069222731
[75,] -0.52414396 0.236084780 0.143313295 0.080438132 -0.377187970
[76,] 0.15545970 -1.153455562 -0.289245613 1.188997495 -0.530409089
[77,] 0.89061311 0.444612701 -0.120192328 -0.893816853 0.652063411
[78,] 1.89922401 0.889224452 1.054052503 1.553474440 -0.144246045
[79,] 0.35621068 0.562920550 0.811180187 1.257821718 0.833557289
[80,] 0.69112253 0.690809799 0.350894497 1.232961768 0.532120453
[81,] -1.36484699 0.590536905 0.865720168 0.207846416 -0.243768350
[82,] 0.12746755 -0.350273473 -0.153941010 -1.008445350 0.683980869
[83,] 0.47538493 -0.998139757 -0.456418668 0.719331539 -0.430349292
[84,] 0.26577806 0.846427515 0.265099248 -1.154726656 0.893075682
[85,] -1.35879698 -0.177134152 0.048982385 -1.627538034 -1.017723571
[86,] -1.21110715 0.783342825 0.104430628 0.159227934 -1.021177572
[87,] 0.02704349 -0.675214557 -0.869318427 -1.327718568 1.253470555
[88,] -0.63712399 -0.164676338 0.132278994 -1.109353476 -0.004643815
[89,] 0.71432405 1.182269398 0.008919636 -0.377913552 0.728619946
[90,] -1.54264252 0.023363325 0.197620078 -0.453518164 -0.330825243
[91,] -1.60600254 -0.122535695 0.096154004 -0.422326647 0.732873604
[92,] 0.04489234 0.307137869 0.129005961 -1.182591440 -1.325260343
[93,] -0.92529967 0.207650622 0.582574290 -0.590297777 1.083045132
[94,] -0.13990605 -0.554745519 -1.638594024 -0.031775411 -0.559339160
[95,] 0.72222259 -1.261547101 -0.477201061 -1.335646140 0.972506413
[96,] 0.58221418 0.557701418 0.415663507 0.805968766 -0.256927709
[97,] 1.82376119 0.459024539 0.697180627 1.277304149 0.832693951
[98,] 0.54630060 0.248898465 0.898978906 -0.408299262 -0.485660381
[99,] 1.43371786 0.350951261 0.836264326 1.783058593 0.982872890
[100,] -0.44642085 0.840936064 0.936044778 -1.127835750 -1.965393191
[101,] -0.34546094 -0.831797449 0.521777304 -0.115436044 -0.533456117
[102,] 1.66453746 0.677729372 0.517853726 -1.201665905 0.119945977
[103,] 0.38519401 0.120820545 0.850603383 0.444150222 -0.262800192
[104,] -1.92640431 -2.441999657 -2.598964134 -1.771377674 -2.207877986
[105,] -1.97643742 -3.782616821 -2.826955056 -1.279727553 -2.615110608
[106,] -2.09780003 -3.719097654 -2.821150125 -1.382026419 -2.617800748
[107,] 1.15852141 -0.522923598 0.388116910 0.774233902 -0.440803131
[108,] 0.54230737 0.703612871 0.933063196 0.230051709 1.232437764
[109,] 1.24329332 -0.403159322 0.168231697 -0.965378233 -0.048741240
[110,] 1.75681009 0.680781380 0.155497175 0.871751916 1.237630715
[111,] 0.42605432 -1.209494197 -0.116809187 0.461630091 -0.560700556
[112,] -0.10705147 -1.447336448 -0.338677160 0.618480084 -0.536586646
[113,] -2.03283381 -1.544913552 -2.554741544 -1.926683552 -2.082662963
[114,] -1.59802614 -1.427313904 -2.463098119 -1.567961287 -0.381029575
[115,] 0.01661537 -0.787160326 -0.347978427 -0.048242777 -0.557830459
[116,] -0.20733563 -1.012971546 0.727763265 0.834959286 0.441937388
[117,] 0.59932264 -0.558974684 -0.108387749 0.565544775 0.375209661
[118,] -0.94464172 -0.547092116 -0.581264149 0.237218792 -0.797463058
[119,] -0.57730853 0.731886105 0.868938657 0.971960039 -0.159958286
[120,] -0.86553734 -0.289651213 -2.235484673 -1.642558919 -1.973375027
[121,] 1.56719594 0.274061121 0.894025780 1.833708881 1.478276151
[122,] -0.11019667 -1.386900178 -0.940363057 -0.012178111 -0.567639248
[123,] 1.21972995 0.525477243 0.906842319 0.883656964 -0.437510730
[124,] -0.51477963 0.169845101 -0.997231059 -0.267152765 -0.535604806
[125,] -0.74339196 -2.007448472 -2.625724152 -1.013650165 0.673922472
[126,] -0.31609018 -3.036137149 0.014022856 -1.643350270 1.036595054
[127,] 0.34184187 -0.117013922 -0.074827469 0.226328165 -0.159562433
[128,] -1.12683553 -0.025929237 -0.915164276 -0.933023550 0.942771361
[129,] -0.37190912 0.992262871 1.088275511 0.336772418 0.105546965
[130,] 0.70772786 0.153536944 0.090481053 0.547165936 0.497328650
[131,] 1.21640302 0.889494948 0.101807162 -0.273175686 -1.334380566
[132,] 0.85243140 0.573996294 0.155733432 1.332952611 0.429557031
[133,] -1.41517508 -1.308813202 -1.933731708 -1.302738498 -1.322154989
[134,] 1.04503890 0.700130511 0.277305276 1.020241471 0.783013730
[135,] -0.84738900 -0.255168719 0.200859714 0.715050892 -0.378435573
[136,] 0.83269186 0.215536216 0.435123096 0.238063631 -0.559755072
[137,] 1.04317259 -0.109041650 -0.846702529 -0.550631315 0.624970588
[138,] 0.62102619 -0.812238129 0.727435969 0.596106629 -0.287590710
[139,] 0.74054949 0.697128734 -1.017252916 1.697641579 0.589102792
[140,] 0.13378558 1.162473172 0.979894088 0.306251514 0.529376948
[141,] -0.98560875 0.850089867 0.902654809 -1.340074199 -1.990274102
[142,] -1.19619312 -1.024685380 -0.794525851 -1.381480811 0.094684247
[143,] 0.76080171 -0.005391737 0.790977936 -0.004430057 -1.064983849
[144,] 1.23409521 0.446318878 -0.627715405 0.425927773 1.177247066
[145,] 0.74803765 0.290324939 0.106788295 0.840156206 0.867722365
[146,] 0.15641912 0.451595293 0.863528586 0.905767144 1.136202979
[147,] 1.21837000 -1.035286020 0.375647416 -0.519479671 0.248945059
[148,] -1.46402259 1.095060507 1.035987363 -0.442526123 0.221715744
[149,] -0.76115212 -1.833978996 -1.175947334 -1.162966076 -0.190227113
[150,] 0.31481534 0.551464321 0.175966998 0.026266810 1.277779509
[151,] -1.41621348 0.724115982 0.444421549 -1.494998369 -1.285834003
[152,] -0.26638918 0.683719729 0.976762673 -0.063408675 0.102855959
[153,] 0.42974304 1.051833213 1.022880952 -0.598460273 0.324076572
[154,] 1.77698755 0.056422233 0.899709694 1.080020057 1.141924879
[155,] -0.08233094 -0.651311667 -0.211004995 0.063963370 0.096709938
[156,] -0.28467199 0.936064928 0.822397375 0.711896097 -1.257877500
[157,] -0.59316260 1.057238155 0.474604518 0.354163418 -0.818557921
[158,] -1.01860422 -0.253372060 -1.754184143 -1.354109399 1.145576123
[159,] 0.89713928 0.993620528 0.958286083 1.679761647 0.419209128
[160,] 0.57593435 1.183552036 0.451985890 -0.303761824 1.250046552
[161,] 0.50024716 -0.020415936 0.832014112 0.634516714 -1.104349332
[162,] 0.16086213 1.190311428 0.642083252 0.043296094 -0.686848691
[163,] -0.13778132 -0.417457088 0.033005997 -0.711603008 0.276022290
[164,] -1.10638036 -2.049302602 0.584273403 -1.036647452 0.198615221
[165,] -0.90637312 1.017611257 -0.102301733 -0.668134321 0.697711873
[166,] -1.08895933 -0.749738252 -1.523362248 -0.591428484 0.049570596
[167,] 0.92285237 0.748117336 0.315904966 -0.031785463 -0.541503024
[168,] -0.67678956 -1.107234994 0.550555523 -1.537770701 -0.798267365
[169,] 0.16852591 -0.566194740 -1.368105153 -1.321606996 -1.171715531
[170,] -0.80361285 1.059864849 0.955361001 -1.448575003 0.226848037
[171,] -1.65234131 -0.385288981 0.606112045 -1.357003883 0.335752756
[172,] -0.84631941 1.264495712 0.511478478 1.442707388 1.161044212
[173,] -0.65073183 -0.542590725 -0.066044107 0.347125538 -0.364293589
[174,] -0.22159130 -0.118976543 0.763388054 0.002681198 0.004555934
[175,] 0.02841725 -2.690968854 -2.629636441 1.561526242 1.352247743
[176,] -0.52175255 -1.005444906 -0.786156578 -1.615392229 -1.519153840
[177,] 1.16591290 0.684964882 0.490989903 0.888233775 0.094957989
[178,] 0.20397122 0.372384432 -0.121611499 0.921441410 0.350377616
[179,] 0.23880344 0.664146719 -1.868203667 -1.074688594 0.290031319
[180,] 0.19687083 -0.621250918 -0.178107365 0.327750927 -0.306505543
[181,] 0.52707217 -0.280264885 0.826508636 0.379564240 -1.873719652
[182,] -0.40358601 -0.984520564 0.832642487 0.015207727 1.211682044
[183,] 0.74957148 0.903014433 0.528075245 0.943602275 -0.399899275
[184,] 1.84222558 0.856773137 0.989675486 1.577427206 1.364783396
[185,] 0.72799800 -1.235743411 -0.861172423 -0.303139202 -1.871059632
[186,] -0.79515271 -3.211378651 0.157157013 -1.458128601 -0.482081618
[187,] -1.81863835 -0.755287605 -0.320328715 -0.970957906 0.450485994
[188,] 1.83650958 1.103629284 0.980124913 1.768892838 1.376439504
[189,] 0.21777119 -1.005011793 -0.772854199 0.664817535 -0.149241289
[190,] -0.66223341 -0.569510908 -2.419133970 -1.313841092 -1.069743490
[191,] 1.07995526 -0.326126086 1.067006347 0.350705993 0.784680677
[192,] -0.23735087 0.738029763 0.945091178 -0.906581380 -0.150498586
[193,] -1.33653866 0.667223366 -1.304036797 1.690096229 -0.287199139
[194,] 1.19239468 0.691980720 0.494869898 0.697126941 0.925451571
[195,] 1.58137246 0.437637656 0.836433321 1.298497281 1.157158772
[196,] -1.27415966 -1.196734066 -1.164685025 -1.627024492 -1.150407428
[197,] 0.54328247 0.381603691 0.047269180 0.100487467 1.187931923
[198,] 0.27769053 0.961185576 -1.579131477 -0.981503609 1.365986543
[199,] -0.11763770 0.098222577 0.055242468 -0.629938398 -1.391497108
[200,] 1.01203390 -1.147270782 -0.424445848 0.248419246 -0.841967001
[201,] 1.17723432 1.054147205 0.792363790 0.580161825 1.097462372
[202,] -0.91212086 -1.406877307 -0.956735200 0.082605851 -1.491431161
[203,] -2.17459496 0.661384166 -2.446106333 -1.215267988 -0.965399241
[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
# 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
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
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
# 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
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
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
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 |
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 |
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 |
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")
```