Reliability analysis
Call: psych::alpha(x = podaci)
raw_alpha std.alpha G6(smc) average_r S/N ase mean sd median_r
0.95 0.95 0.98 0.29 21 0.0043 3.6 0.63 0.27
lower alpha upper 95% confidence boundaries
0.95 0.95 0.96
Reliability if an item is dropped:
raw_alpha std.alpha G6(smc) average_r S/N alpha se
TIMELINE 0.95 0.95 0.98 0.29 21 0.0044
RISK 0.95 0.95 0.98 0.29 21 0.0044
DYNAMICS 0.95 0.95 0.98 0.29 21 0.0044
AVERAGE 0.95 0.95 0.98 0.29 21 0.0044
AVERAGE_COMPARISON 0.95 0.95 0.98 0.29 21 0.0044
SCHEDULE 0.95 0.95 0.98 0.29 21 0.0044
CALENDAR 0.95 0.95 0.98 0.29 21 0.0044
COURSES 0.95 0.95 0.98 0.29 21 0.0044
NOTIFICATIONS_COURSE 0.95 0.95 0.98 0.29 21 0.0044
NOTIFICATIONS_DEADLINES 0.95 0.95 0.98 0.29 21 0.0044
MESSAGES_TEACHER 0.95 0.95 0.98 0.29 21 0.0044
MESSAGES_ADMIN 0.95 0.95 0.98 0.29 21 0.0044
REQUESTS 0.95 0.96 0.98 0.30 21 0.0043
MESSAGES_SU 0.95 0.95 0.98 0.29 21 0.0044
EXTRACURRICULAR 0.95 0.95 0.98 0.30 21 0.0043
COMPARISON_EXAMS 0.95 0.95 0.98 0.29 21 0.0045
COMPARISON_ECTS 0.95 0.95 0.98 0.29 20 0.0045
COMPARISON_GRADES 0.95 0.95 0.98 0.29 21 0.0045
COMPARISON_OBLIGATIONS 0.95 0.95 0.98 0.29 20 0.0045
STATUS_STUDENTS 0.95 0.95 0.98 0.29 21 0.0044
STATUS_COMPARISON 0.95 0.95 0.98 0.29 21 0.0044
PREDICTION_COURSE 0.95 0.95 0.98 0.29 20 0.0045
PREDICTION_YEAR 0.95 0.95 0.98 0.29 20 0.0045
PREDICTION_OBLIGATIONS 0.95 0.95 0.98 0.29 20 0.0045
PREDICTION_ECTS 0.95 0.95 0.98 0.29 20 0.0045
PREDICTION_PROGRAM 0.95 0.95 0.98 0.29 20 0.0045
PREDICTION_GROUP 0.95 0.95 0.98 0.29 20 0.0045
ECTSAVG_STUDY 0.95 0.95 0.98 0.29 21 0.0045
ECTSAVG_COURSE 0.95 0.95 0.98 0.29 20 0.0045
AVGGRADE_COURSE 0.95 0.95 0.98 0.29 21 0.0045
PASSRATE_COURSE 0.95 0.95 0.98 0.29 21 0.0044
PPLAN_COURSE 0.95 0.95 0.98 0.29 20 0.0045
PPLAN_STUDY 0.95 0.95 0.98 0.29 21 0.0044
PPLAN_MONITORING 0.95 0.95 0.98 0.29 20 0.0045
ECTS_MONITORING 0.95 0.95 0.98 0.29 20 0.0045
PPLAN_EXTRACURRICULAR 0.95 0.95 0.98 0.29 21 0.0044
TEACHERS 0.95 0.95 0.98 0.29 21 0.0044
TEACHER_EVALUATION 0.95 0.95 0.98 0.29 21 0.0044
TEACHER_PROFILE 0.95 0.95 0.98 0.29 21 0.0044
TEACHERS_CONTEVAL 0.95 0.95 0.98 0.30 21 0.0043
TEACHERS_FEEDBACK 0.95 0.95 0.98 0.30 21 0.0044
BADGES 0.95 0.95 0.98 0.29 20 0.0045
BADGES_COMPARISON 0.95 0.95 0.98 0.29 21 0.0045
BADGES_COLLECTING 0.95 0.95 0.98 0.29 21 0.0045
AWARDS 0.95 0.95 0.98 0.29 21 0.0045
COMPETITIONS 0.95 0.95 0.98 0.29 21 0.0045
STATUS_CURRENT 0.95 0.95 0.98 0.29 20 0.0045
ASSESSMENT_CONT 0.95 0.95 0.98 0.29 21 0.0044
ASSESSMENT_EXAMS 0.95 0.95 0.98 0.29 21 0.0044
ABSENCE 0.95 0.95 0.98 0.29 21 0.0044
COMPARISON_OTHERS 0.95 0.95 0.98 0.29 20 0.0045
var.r med.r
TIMELINE 0.021 0.28
RISK 0.020 0.27
DYNAMICS 0.021 0.27
AVERAGE 0.021 0.28
AVERAGE_COMPARISON 0.020 0.28
SCHEDULE 0.020 0.28
CALENDAR 0.020 0.28
COURSES 0.021 0.27
NOTIFICATIONS_COURSE 0.021 0.28
NOTIFICATIONS_DEADLINES 0.021 0.27
MESSAGES_TEACHER 0.021 0.28
MESSAGES_ADMIN 0.020 0.28
REQUESTS 0.020 0.28
MESSAGES_SU 0.021 0.28
EXTRACURRICULAR 0.020 0.28
COMPARISON_EXAMS 0.020 0.27
COMPARISON_ECTS 0.020 0.27
COMPARISON_GRADES 0.020 0.28
COMPARISON_OBLIGATIONS 0.020 0.27
STATUS_STUDENTS 0.020 0.28
STATUS_COMPARISON 0.020 0.28
PREDICTION_COURSE 0.020 0.27
PREDICTION_YEAR 0.020 0.27
PREDICTION_OBLIGATIONS 0.020 0.27
PREDICTION_ECTS 0.020 0.27
PREDICTION_PROGRAM 0.020 0.27
PREDICTION_GROUP 0.020 0.27
ECTSAVG_STUDY 0.020 0.27
ECTSAVG_COURSE 0.020 0.27
AVGGRADE_COURSE 0.020 0.27
PASSRATE_COURSE 0.020 0.27
PPLAN_COURSE 0.020 0.27
PPLAN_STUDY 0.020 0.27
PPLAN_MONITORING 0.020 0.27
ECTS_MONITORING 0.020 0.27
PPLAN_EXTRACURRICULAR 0.021 0.28
TEACHERS 0.021 0.28
TEACHER_EVALUATION 0.021 0.28
TEACHER_PROFILE 0.021 0.28
TEACHERS_CONTEVAL 0.020 0.28
TEACHERS_FEEDBACK 0.020 0.28
BADGES 0.021 0.27
BADGES_COMPARISON 0.020 0.27
BADGES_COLLECTING 0.020 0.27
AWARDS 0.020 0.27
COMPETITIONS 0.020 0.27
STATUS_CURRENT 0.020 0.27
ASSESSMENT_CONT 0.021 0.27
ASSESSMENT_EXAMS 0.020 0.27
ABSENCE 0.020 0.28
COMPARISON_OTHERS 0.020 0.27
Item statistics
n raw.r std.r r.cor r.drop mean sd
TIMELINE 222 0.49 0.50 0.49 0.47 3.9 1.06
RISK 222 0.55 0.57 0.56 0.53 4.0 1.07
DYNAMICS 222 0.56 0.56 0.55 0.53 3.4 1.16
AVERAGE 222 0.49 0.49 0.47 0.46 3.4 1.25
AVERAGE_COMPARISON 221 0.47 0.45 0.44 0.44 3.0 1.28
SCHEDULE 222 0.43 0.46 0.44 0.41 4.3 0.92
CALENDAR 222 0.40 0.44 0.43 0.38 4.5 0.75
COURSES 222 0.53 0.55 0.54 0.51 4.0 1.04
NOTIFICATIONS_COURSE 222 0.48 0.51 0.50 0.46 4.4 0.86
NOTIFICATIONS_DEADLINES 222 0.52 0.54 0.54 0.50 4.2 0.91
MESSAGES_TEACHER 222 0.46 0.49 0.48 0.44 4.1 0.86
MESSAGES_ADMIN 222 0.43 0.44 0.43 0.40 3.5 1.07
REQUESTS 222 0.28 0.28 0.26 0.24 3.7 1.22
MESSAGES_SU 222 0.46 0.46 0.44 0.43 3.1 1.10
EXTRACURRICULAR 222 0.36 0.36 0.35 0.33 3.3 1.14
COMPARISON_EXAMS 222 0.62 0.60 0.60 0.60 3.1 1.24
COMPARISON_ECTS 222 0.64 0.61 0.61 0.61 2.9 1.31
COMPARISON_GRADES 222 0.61 0.59 0.58 0.58 3.0 1.28
COMPARISON_OBLIGATIONS 222 0.65 0.63 0.63 0.63 3.0 1.25
STATUS_STUDENTS 222 0.55 0.52 0.52 0.52 3.0 1.30
STATUS_COMPARISON 222 0.55 0.52 0.52 0.52 2.8 1.28
PREDICTION_COURSE 222 0.69 0.69 0.69 0.67 3.9 1.17
PREDICTION_YEAR 222 0.65 0.65 0.65 0.63 3.9 1.18
PREDICTION_OBLIGATIONS 222 0.64 0.65 0.65 0.62 4.1 1.22
PREDICTION_ECTS 222 0.70 0.70 0.70 0.68 3.9 1.25
PREDICTION_PROGRAM 222 0.63 0.63 0.63 0.60 4.0 1.17
PREDICTION_GROUP 222 0.65 0.65 0.65 0.63 3.7 1.20
ECTSAVG_STUDY 222 0.61 0.59 0.59 0.59 3.1 1.21
ECTSAVG_COURSE 222 0.62 0.61 0.61 0.60 3.2 1.14
AVGGRADE_COURSE 222 0.62 0.60 0.60 0.59 3.5 1.14
PASSRATE_COURSE 222 0.55 0.54 0.54 0.52 3.8 1.13
PPLAN_COURSE 222 0.61 0.63 0.63 0.59 4.0 1.12
PPLAN_STUDY 222 0.59 0.61 0.61 0.57 4.1 1.08
PPLAN_MONITORING 222 0.65 0.66 0.66 0.63 4.1 1.04
ECTS_MONITORING 222 0.68 0.69 0.68 0.66 3.7 1.17
PPLAN_EXTRACURRICULAR 222 0.52 0.52 0.51 0.50 3.4 1.21
TEACHERS 222 0.46 0.47 0.46 0.44 3.7 1.07
TEACHER_EVALUATION 222 0.45 0.44 0.43 0.42 3.5 1.22
TEACHER_PROFILE 222 0.47 0.47 0.46 0.44 3.3 1.17
TEACHERS_CONTEVAL 222 0.39 0.39 0.38 0.36 3.5 1.23
TEACHERS_FEEDBACK 222 0.40 0.41 0.40 0.37 3.8 1.16
BADGES 222 0.65 0.64 0.64 0.63 3.6 1.16
BADGES_COMPARISON 222 0.61 0.59 0.59 0.58 2.7 1.28
BADGES_COLLECTING 222 0.63 0.61 0.61 0.60 3.0 1.35
AWARDS 222 0.60 0.58 0.58 0.57 2.8 1.28
COMPETITIONS 222 0.59 0.58 0.58 0.57 2.8 1.24
STATUS_CURRENT 222 0.66 0.67 0.67 0.64 4.0 1.14
ASSESSMENT_CONT 222 0.54 0.56 0.56 0.52 4.5 0.83
ASSESSMENT_EXAMS 222 0.58 0.61 0.61 0.56 4.5 0.89
ABSENCE 222 0.52 0.55 0.54 0.50 4.6 0.87
COMPARISON_OTHERS 222 0.65 0.63 0.63 0.63 3.0 1.28
Non missing response frequency for each item
1 2 3 4 5 miss
TIMELINE 0.05 0.07 0.13 0.47 0.28 0
RISK 0.03 0.09 0.13 0.38 0.37 0
DYNAMICS 0.08 0.16 0.23 0.37 0.16 0
AVERAGE 0.09 0.21 0.15 0.36 0.19 0
AVERAGE_COMPARISON 0.14 0.24 0.21 0.26 0.14 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
REQUESTS 0.06 0.14 0.19 0.29 0.32 0
MESSAGES_SU 0.08 0.24 0.29 0.30 0.09 0
EXTRACURRICULAR 0.07 0.17 0.29 0.32 0.15 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
STATUS_COMPARISON 0.18 0.29 0.21 0.20 0.12 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
PREDICTION_GROUP 0.09 0.06 0.18 0.41 0.25 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
TEACHERS 0.04 0.09 0.23 0.37 0.27 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 0.09 0.07 0.25 0.37 0.22 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
ASSESSMENT_CONT 0.02 0.02 0.05 0.24 0.67 0
ASSESSMENT_EXAMS 0.02 0.03 0.05 0.27 0.63 0
ABSENCE 0.02 0.02 0.06 0.15 0.75 0
COMPARISON_OTHERS 0.14 0.23 0.23 0.25 0.15 0
Split half reliabilities
Call: splitHalf(r = podaci)
Maximum split half reliability (lambda 4) = 0.98
Guttman lambda 6 = 0.98
Average split half reliability = 0.95
Guttman lambda 3 (alpha) = 0.95
Guttman lambda 2 = 0.96
Minimum split half reliability (beta) = 0.86
Average interitem r = 0.29 with median = 0.27
Kaiser-Meyer-Olkin factor adequacy
Call: KMO(r = podaci)
Overall MSA = 0.9
MSA for each item =
TIMELINE RISK DYNAMICS
0.89 0.90 0.87
AVERAGE AVERAGE_COMPARISON SCHEDULE
0.87 0.90 0.88
CALENDAR COURSES NOTIFICATIONS_COURSE
0.81 0.89 0.91
NOTIFICATIONS_DEADLINES MESSAGES_TEACHER MESSAGES_ADMIN
0.91 0.87 0.86
REQUESTS MESSAGES_SU EXTRACURRICULAR
0.75 0.88 0.85
COMPARISON_EXAMS COMPARISON_ECTS COMPARISON_GRADES
0.89 0.87 0.91
COMPARISON_OBLIGATIONS STATUS_STUDENTS STATUS_COMPARISON
0.93 0.85 0.87
PREDICTION_COURSE PREDICTION_YEAR PREDICTION_OBLIGATIONS
0.95 0.91 0.91
PREDICTION_ECTS PREDICTION_PROGRAM PREDICTION_GROUP
0.94 0.94 0.93
ECTSAVG_STUDY ECTSAVG_COURSE AVGGRADE_COURSE
0.92 0.91 0.89
PASSRATE_COURSE PPLAN_COURSE PPLAN_STUDY
0.88 0.87 0.88
PPLAN_MONITORING ECTS_MONITORING PPLAN_EXTRACURRICULAR
0.93 0.96 0.87
TEACHERS TEACHER_EVALUATION TEACHER_PROFILE
0.84 0.85 0.82
TEACHERS_CONTEVAL TEACHERS_FEEDBACK BADGES
0.81 0.85 0.95
BADGES_COMPARISON BADGES_COLLECTING AWARDS
0.90 0.89 0.89
COMPETITIONS STATUS_CURRENT ASSESSMENT_CONT
0.86 0.93 0.91
ASSESSMENT_EXAMS ABSENCE COMPARISON_OTHERS
0.86 0.89 0.95
[1] 16.09400557 4.97207948 2.77869813 2.47660346 2.03110100 1.74846745
[7] 1.46940006 1.37466959 1.25611988 1.18518085 0.93145648 0.89008174
[13] 0.85621898 0.80994005 0.75993831 0.67218027 0.64091336 0.60908682
[19] 0.57976565 0.54939444 0.52752811 0.51638855 0.48503295 0.47323313
[25] 0.44588608 0.42921671 0.40343571 0.39668863 0.38380158 0.36530247
[31] 0.32445211 0.31070361 0.30049985 0.26860301 0.26566775 0.23806316
[37] 0.21816289 0.20622692 0.20272341 0.18847836 0.18564761 0.18302832
[43] 0.15447409 0.13808285 0.13105041 0.12381425 0.12003444 0.09958839
[49] 0.08292214 0.07714805 0.06881289
Factor Analysis using method = minres
Call: fa(r = podaci, nfactors = 5)
Standardized loadings (pattern matrix) based upon correlation matrix
MR2 MR3 MR1 MR4 MR5 h2 u2 com
TIMELINE 0.03 0.29 0.33 0.10 -0.11 0.32 0.68 2.4
RISK 0.05 0.32 0.48 0.00 -0.16 0.48 0.52 2.0
DYNAMICS 0.14 0.16 0.28 0.28 -0.09 0.35 0.65 3.4
AVERAGE 0.36 0.12 0.19 -0.10 0.04 0.26 0.74 2.0
AVERAGE_COMPARISON 0.65 -0.01 -0.10 -0.06 0.13 0.42 0.58 1.1
SCHEDULE 0.04 0.46 0.16 -0.22 0.12 0.34 0.66 1.9
CALENDAR 0.08 0.51 0.15 -0.29 0.06 0.38 0.62 1.9
COURSES 0.16 0.48 0.15 -0.11 0.01 0.38 0.62 1.5
NOTIFICATIONS_COURSE 0.06 0.60 -0.05 -0.01 0.08 0.39 0.61 1.1
NOTIFICATIONS_DEADLINES 0.02 0.63 0.05 -0.05 0.07 0.46 0.54 1.1
MESSAGES_TEACHER 0.00 0.51 0.02 -0.02 0.18 0.34 0.66 1.2
MESSAGES_ADMIN -0.09 0.56 -0.06 0.10 0.13 0.35 0.65 1.2
REQUESTS -0.06 0.14 0.12 0.00 0.19 0.10 0.90 2.8
MESSAGES_SU 0.04 0.30 -0.15 0.25 0.33 0.34 0.66 3.3
EXTRACURRICULAR 0.03 0.40 -0.25 0.26 0.15 0.27 0.73 2.9
COMPARISON_EXAMS 0.78 0.00 0.01 0.06 -0.04 0.64 0.36 1.0
COMPARISON_ECTS 0.73 0.06 0.03 0.09 -0.09 0.61 0.39 1.1
COMPARISON_GRADES 0.88 0.05 -0.11 0.00 -0.02 0.72 0.28 1.0
COMPARISON_OBLIGATIONS 0.63 0.09 0.09 0.11 -0.06 0.55 0.45 1.2
STATUS_STUDENTS 0.77 -0.07 -0.08 0.09 0.04 0.61 0.39 1.1
STATUS_COMPARISON 0.82 -0.12 -0.06 0.02 0.07 0.66 0.34 1.1
PREDICTION_COURSE 0.03 0.02 0.79 0.10 0.01 0.72 0.28 1.0
PREDICTION_YEAR -0.01 -0.10 0.95 0.01 0.01 0.83 0.17 1.0
PREDICTION_OBLIGATIONS 0.00 0.04 0.84 -0.05 0.02 0.73 0.27 1.0
PREDICTION_ECTS -0.01 0.12 0.74 0.13 -0.01 0.72 0.28 1.1
PREDICTION_PROGRAM -0.02 0.06 0.70 0.08 0.05 0.58 0.42 1.1
PREDICTION_GROUP 0.07 -0.01 0.65 0.10 0.11 0.56 0.44 1.1
ECTSAVG_STUDY 0.77 0.07 0.04 0.04 -0.12 0.62 0.38 1.1
ECTSAVG_COURSE 0.78 0.03 0.04 -0.05 0.02 0.62 0.38 1.0
AVGGRADE_COURSE 0.68 0.01 0.10 -0.07 0.11 0.56 0.44 1.1
PASSRATE_COURSE 0.56 0.06 0.10 -0.11 0.13 0.41 0.59 1.3
PPLAN_COURSE 0.06 0.75 -0.01 0.13 -0.07 0.63 0.37 1.1
PPLAN_STUDY -0.02 0.77 0.03 0.11 -0.03 0.64 0.36 1.0
PPLAN_MONITORING -0.04 0.61 0.16 0.22 0.03 0.61 0.39 1.4
ECTS_MONITORING 0.14 0.39 0.35 0.06 0.01 0.53 0.47 2.3
PPLAN_EXTRACURRICULAR 0.02 0.47 -0.09 0.41 0.01 0.44 0.56 2.1
TEACHERS -0.01 0.17 0.24 0.03 0.27 0.26 0.74 2.7
TEACHER_EVALUATION 0.21 -0.14 0.15 -0.07 0.59 0.47 0.53 1.5
TEACHER_PROFILE 0.09 -0.06 0.10 0.06 0.62 0.48 0.52 1.1
TEACHERS_CONTEVAL -0.02 0.03 -0.02 0.04 0.71 0.52 0.48 1.0
TEACHERS_FEEDBACK -0.10 0.17 -0.08 0.12 0.68 0.53 0.47 1.3
BADGES 0.11 0.05 0.30 0.39 0.18 0.50 0.50 2.6
BADGES_COMPARISON 0.14 0.07 0.04 0.70 0.07 0.67 0.33 1.1
BADGES_COLLECTING 0.08 0.00 0.21 0.73 0.02 0.72 0.28 1.2
AWARDS 0.12 0.01 0.10 0.74 0.03 0.70 0.30 1.1
COMPETITIONS 0.08 0.06 0.07 0.62 0.17 0.57 0.43 1.2
STATUS_CURRENT 0.07 0.31 0.51 0.03 -0.02 0.56 0.44 1.7
ASSESSMENT_CONT 0.08 0.40 0.28 -0.20 0.17 0.43 0.57 2.9
ASSESSMENT_EXAMS 0.14 0.51 0.25 -0.19 0.08 0.50 0.50 2.0
ABSENCE 0.08 0.47 0.25 -0.23 0.12 0.45 0.55 2.3
COMPARISON_OTHERS 0.53 -0.10 0.20 0.23 0.08 0.56 0.44 1.8
MR2 MR3 MR1 MR4 MR5
SS loadings 7.29 6.33 6.31 3.47 2.70
Proportion Var 0.14 0.12 0.12 0.07 0.05
Cumulative Var 0.14 0.27 0.39 0.46 0.51
Proportion Explained 0.28 0.24 0.24 0.13 0.10
Cumulative Proportion 0.28 0.52 0.76 0.90 1.00
With factor correlations of
MR2 MR3 MR1 MR4 MR5
MR2 1.00 0.26 0.39 0.38 0.31
MR3 0.26 1.00 0.49 0.24 0.28
MR1 0.39 0.49 1.00 0.26 0.23
MR4 0.38 0.24 0.26 1.00 0.20
MR5 0.31 0.28 0.23 0.20 1.00
Mean item complexity = 1.6
Test of the hypothesis that 5 factors are sufficient.
The degrees of freedom for the null model are 1275 and the objective function was 40.3 with Chi Square of 8186.99
The degrees of freedom for the model are 1030 and the objective function was 12.4
The root mean square of the residuals (RMSR) is 0.05
The df corrected root mean square of the residuals is 0.06
The harmonic number of observations is 222 with the empirical chi square 1406.68 with prob < 3.9e-14
The total number of observations was 222 with Likelihood Chi Square = 2478.24 with prob < 9.7e-121
Tucker Lewis Index of factoring reliability = 0.735
RMSEA index = 0.079 and the 90 % confidence intervals are 0.076 0.084
BIC = -3086.52
Fit based upon off diagonal values = 0.98
Measures of factor score adequacy
MR2 MR3 MR1 MR4 MR5
Correlation of (regression) scores with factors 0.97 0.96 0.97 0.94 0.91
Multiple R square of scores with factors 0.95 0.92 0.95 0.89 0.82
Minimum correlation of possible factor scores 0.89 0.83 0.89 0.78 0.64
Loadings:
MR2 MR3 MR1 MR4 MR5
AVERAGE_COMPARISON 0.651
COMPARISON_EXAMS 0.782
COMPARISON_ECTS 0.734
COMPARISON_GRADES 0.883
COMPARISON_OBLIGATIONS 0.635
STATUS_STUDENTS 0.771
STATUS_COMPARISON 0.824
ECTSAVG_STUDY 0.768
ECTSAVG_COURSE 0.775
AVGGRADE_COURSE 0.680
PASSRATE_COURSE 0.557
COMPARISON_OTHERS 0.528
CALENDAR 0.509
NOTIFICATIONS_COURSE 0.603
NOTIFICATIONS_DEADLINES 0.634
MESSAGES_TEACHER 0.506
MESSAGES_ADMIN 0.562
PPLAN_COURSE 0.754
PPLAN_STUDY 0.767
PPLAN_MONITORING 0.605
ASSESSMENT_EXAMS 0.506
PREDICTION_COURSE 0.787
PREDICTION_YEAR 0.952
PREDICTION_OBLIGATIONS 0.837
PREDICTION_ECTS 0.742
PREDICTION_PROGRAM 0.699
PREDICTION_GROUP 0.652
STATUS_CURRENT 0.511
BADGES_COMPARISON 0.698
BADGES_COLLECTING 0.729
AWARDS 0.735
COMPETITIONS 0.615
TEACHER_EVALUATION 0.593
TEACHER_PROFILE 0.623
TEACHERS_CONTEVAL 0.712
TEACHERS_FEEDBACK 0.679
TIMELINE
RISK 0.484
DYNAMICS
AVERAGE
SCHEDULE 0.457
COURSES 0.483
REQUESTS
MESSAGES_SU
EXTRACURRICULAR
ECTS_MONITORING
PPLAN_EXTRACURRICULAR 0.473 0.409
TEACHERS
BADGES
ASSESSMENT_CONT 0.402
ABSENCE 0.470
MR2 MR3 MR1 MR4 MR5
SS loadings 6.664 5.352 5.295 3.030 2.305
Proportion Var 0.131 0.105 0.104 0.059 0.045
Cumulative Var 0.131 0.236 0.339 0.399 0.444
MR2 MR3 MR1 MR4 MR5
[1,] 1.335504157 -0.185631158 0.312558488 1.017559320 1.285118687
[2,] 0.526179980 0.414032782 -0.972252728 -0.130702489 0.153436567
[3,] 0.747972923 0.635519556 0.288740029 0.153523763 0.347525996
[4,] -0.134971113 0.050818124 0.231621641 -1.000643893 0.114436826
[5,] 0.953078896 0.908087822 0.259025091 1.528495072 1.426527133
[6,] -0.807406086 0.498423556 0.476054681 0.585557664 -0.042025356
[7,] 0.903305453 0.221783645 0.947613536 -0.147853545 0.719148074
[8,] 1.791507078 0.922465450 1.014231592 1.426121229 -0.288953387
[9,] -0.758038235 -3.657812697 -1.440890147 1.071214402 -1.004940887
[10,] -2.245101819 -1.543542812 -3.062785201 -0.352245262 -0.510267569
[11,] -1.016765223 0.887289470 -0.051527944 -0.912697792 0.682484415
[12,] 0.137360191 -0.088786216 1.096295904 -0.362567817 -0.068608661
[13,] 1.787120030 -0.197528365 0.759578026 0.015989036 0.791953933
[14,] 0.469230807 -1.026495312 -0.884059053 -0.968732854 1.955611900
[15,] -0.374283567 1.203428782 0.926235314 1.254241232 0.818449971
[16,] -0.262798762 -1.048926730 -0.625292714 0.215638090 -0.837164958
[17,] 0.298363087 0.666536901 0.920839444 1.058706546 -0.128457115
[18,] 1.104609395 -0.134868214 -0.725119112 -0.033983275 0.049009334
[19,] 0.939361211 0.557087108 0.830303460 1.032283217 0.424366976
[20,] 0.912532039 0.307124476 1.041858767 -0.265392613 -0.020605478
[21,] -1.499313857 0.093432625 0.004034723 -0.515401516 0.748075500
[22,] -0.058981861 -0.313962982 0.036490876 -1.438515121 -0.117486753
[23,] 0.009861058 -0.152742865 1.077881131 -0.006379338 -0.744705286
[24,] 1.065256747 0.265043642 0.648028113 -0.749503502 0.223793577
[25,] 0.334043595 0.985145256 0.953165377 0.746207851 0.091980751
[26,] -1.000506961 0.977391090 0.134097007 0.130363084 -0.583893558
[27,] -0.068901678 0.952720651 0.710474467 -0.296009642 -0.983551607
[28,] -0.720954078 -0.740112758 0.360922939 0.892930377 -1.357746560
[29,] -0.400878553 1.290063069 0.413292591 0.809166856 1.451376665
[30,] -0.608732564 0.928612050 0.962357205 0.409328203 1.238319729
[31,] 0.233127675 0.946656409 -0.052667205 1.670169089 -0.403447098
[32,] -0.356218600 0.048444842 0.437063835 -1.465032182 -1.270240787
[33,] -0.698662128 -0.147300217 0.902608146 -1.451683480 -0.001269629
[34,] -0.086676298 -0.002490554 0.182618932 -0.572998278 0.253423182
[35,] 1.814710972 1.007871236 1.035208290 1.529678060 1.449379017
[36,] -0.518000900 0.094189359 -1.571262332 0.654312557 -0.224781187
[37,] 0.211916604 0.444717898 0.704793281 0.909561120 -0.691155543
[38,] -1.485134050 0.602129688 0.579789991 1.514114558 -0.239187967
[39,] -1.023485093 0.363527764 -0.072816665 -0.012881789 -0.321582455
[40,] 0.958289328 0.437134503 0.633422780 -1.573620235 1.252489103
[41,] 1.310735769 0.687038695 -0.277139251 -0.763170765 0.940792038
[42,] -0.626642490 0.070232826 -1.652206292 -1.232625141 -0.392866798
[43,] 0.896556588 -0.600899824 0.612401823 0.770665152 -0.584230322
[44,] -0.152514819 0.041254586 1.076088409 -0.681149720 1.679414674
[45,] -0.743643971 -0.414275459 -0.010399371 -0.954473706 -0.020354808
[46,] -0.363746467 0.970743509 0.244832205 -0.321041918 0.498967018
[47,] 0.004417546 0.288278622 0.868239470 -0.161866341 -0.300062752
[48,] -0.977879051 0.923082973 0.974723947 -0.530542328 -0.111111456
[49,] 0.910332902 1.126144924 -0.816642069 0.981106176 0.862409496
[50,] -1.724413507 -0.192998848 -1.126828688 -0.850691890 -0.938327784
[51,] -0.804629528 0.920757570 0.790119249 -1.103017918 0.904617348
[52,] -0.132411867 0.113267422 0.310550859 0.252510605 0.765775339
[53,] 0.730107505 -0.036640779 -0.399268404 1.138744974 -0.080390343
[54,] 1.576396835 0.146456290 0.839298007 1.319030888 0.379770443
[55,] -0.168511001 0.522242437 0.022378914 1.459533467 1.478073557
[56,] 0.008173817 0.947399007 0.061059910 -0.225828083 -0.596097083
[57,] 0.393598423 0.765715937 -1.761479048 0.393649621 -0.275228624
[58,] -0.851653353 -0.076477261 -0.428906004 0.783572863 -0.276201022
[59,] 1.233610141 0.030634932 0.316824944 1.016191899 0.003481513
[60,] -0.085583108 0.434936537 1.118651208 0.595828296 -0.100802497
[61,] 0.534354713 -0.731764441 -0.400261511 1.090074541 -0.078754538
[62,] -0.883233120 1.083199689 -0.196597680 -0.332397277 -2.272438331
[63,] 1.635079215 0.366256870 0.571215096 0.276905836 0.629849212
[64,] 1.666455620 0.073677462 0.825727794 -0.653550900 -1.310030163
[65,] -0.282520562 0.172908181 0.030853989 0.582790889 -0.165522303
[66,] 0.149954670 -0.630105407 0.248389429 -0.311209275 -0.154700331
[67,] 1.525267233 -0.038394631 -0.048506720 -1.318571992 -1.998961684
[68,] 1.052087215 1.150877944 0.522684232 0.852490276 0.930168459
[69,] -0.682732054 0.721046412 -0.745178984 -0.329262785 0.913914722
[70,] -0.908709490 -0.120911817 -0.024205649 -0.148812548 0.061827594
[71,] 0.168768310 0.293685315 0.097057506 0.706297520 0.151697859
[72,] 0.684636494 0.565584231 0.784080856 1.290233574 -0.376934161
[73,] NA NA NA NA NA
[74,] 0.031857064 0.392458847 0.311914132 -0.269802959 -0.813092043
[75,] -0.387672273 0.276859784 0.217284446 0.042842313 -0.157060663
[76,] 0.476727137 -1.286607441 -0.548864687 1.418661068 -0.498317622
[77,] 0.730088153 0.427963652 -0.242577395 -0.729518691 0.883915927
[78,] 1.963626091 0.776844914 1.189833842 1.278458594 -0.136075852
[79,] 0.160363504 0.532490346 1.040791510 1.106870069 0.543602622
[80,] 0.749455871 0.523997190 0.453628723 1.311756571 0.628388168
[81,] -1.326899100 0.738606167 0.828868100 0.217896537 -0.006148676
[82,] -0.076122007 -0.122669038 -0.120737995 -1.089474314 0.619363874
[83,] 0.315527579 -1.008806364 -0.456504695 1.029623725 -0.502833197
[84,] 0.254868159 0.757408888 0.049699431 -1.266975154 1.047584687
[85,] -1.395760538 -0.019012501 -0.056634996 -1.637623931 -0.917838420
[86,] -1.341515591 0.934349618 -0.128079324 0.239959369 -1.199564722
[87,] -0.009856869 -1.019967737 -1.005941433 -1.208091602 0.804307185
[88,] -0.485779425 0.020822330 0.176782874 -1.226929708 0.092827633
[89,] 0.784363821 1.187842159 -0.017002318 -0.260347871 1.018972416
[90,] -1.620045706 0.051160157 0.166618000 -0.440382350 -0.404595567
[91,] -1.529641217 -0.218116633 -0.015875459 -0.438292074 0.711907778
[92,] 0.020620809 0.281438713 0.307107621 -1.369269406 -1.220154688
[93,] -0.884103172 0.166890887 0.666271866 -0.757321854 1.162123114
[94,] -0.289705599 -0.223547891 -1.472639126 0.049087501 -0.336609125
[95,] 0.793774579 -1.072827247 -0.401062247 -1.376976065 0.821945423
[96,] 0.650174382 0.422075762 0.445342826 0.750341268 -0.163936012
[97,] 1.867789468 0.179308813 0.603228413 1.300560331 0.862366623
[98,] 0.286690326 0.239515236 1.085693005 -0.495601746 -0.620527639
[99,] 1.459751178 0.420093471 0.804647137 1.729800329 0.862049263
[100,] -0.497622994 0.568994690 0.970196491 -1.017445064 -1.572561494
[101,] -0.166281832 -0.824476234 0.582079767 -0.405826075 -0.707394647
[102,] 1.718661000 0.582699889 0.557265041 -1.401055430 -0.468923694
[103,] 0.287266058 0.153567322 0.654254346 0.657930066 -0.492825428
[104,] -1.974336062 -2.893109101 -2.829958825 -1.250805998 -2.356085916
[105,] -2.100743119 -4.020707068 -2.933805025 -0.551370725 -2.716578964
[106,] -2.173221676 -4.155390989 -2.941310419 -0.670132148 -2.844447282
[107,] 1.339281546 -0.787122129 0.355125172 0.593026463 -0.490710336
[108,] 0.397006419 0.688863510 0.780692407 0.593623430 1.085467536
[109,] 1.364029568 -0.272298466 -0.274559802 -0.874376293 -0.685535851
[110,] 1.759441502 0.563952273 0.347091277 0.734273265 1.121545897
[111,] 0.298445369 -1.071519057 -0.141521076 0.513837232 -0.314311337
[112,] -0.056763584 -1.488956902 -0.225688009 0.427188832 -0.832478040
[113,] -1.835881906 -2.185434576 -2.865731711 -1.521174328 -2.297601047
[114,] -1.627734316 -0.838904225 -2.328578507 -1.748800085 -0.528898036
[115,] -0.128992793 -0.718084511 -0.175831517 -0.421212373 -0.768667128
[116,] -0.289592019 -0.831674447 0.504547092 0.822080965 0.266224383
[117,] 0.572281985 -0.665273256 -0.106277435 0.639437091 0.238286257
[118,] -1.049575579 -0.505797460 -0.545454618 0.381716896 -0.743888595
[119,] -0.493310541 0.750905743 0.961567889 1.138798666 -0.005222779
[120,] -0.704674982 0.095188552 -2.042742194 -1.602004771 -2.022676632
[121,] 1.391727943 0.463540838 0.957258765 1.532122125 1.468127176
[122,] -0.104905315 -1.562180057 -0.866017377 0.320431648 -0.553629746
[123,] 1.381408368 0.417986690 1.020655813 0.710459412 -0.153592412
[124,] -0.434903801 0.413650545 -0.898072976 -0.059750800 -0.407554605
[125,] -0.534585195 -1.409336169 -2.426291857 -1.507735018 0.960430870
[126,] 0.258130241 -2.621956401 -0.106190696 -1.950615674 0.927130676
[127,] 0.303183162 -0.100432285 -0.023020009 0.120922567 -0.252944785
[128,] -0.978725278 0.146941976 -0.801701597 -0.956097388 0.942802258
[129,] -0.510387963 1.101392983 1.198645669 0.560997657 0.291825442
[130,] 0.845887441 0.256603130 0.014965863 0.465430812 0.416096028
[131,] 1.067980695 0.627403104 -0.217384597 0.300183318 -1.218176328
[132,] 0.924019365 0.518675102 0.150163346 1.529210457 0.294508535
[133,] -1.197042194 -0.847288707 -1.981463291 -1.323855374 -0.305641000
[134,] 1.048466024 0.694757189 0.379042772 0.850012122 0.893974714
[135,] -0.861486427 0.001906932 0.249603446 0.585680751 -0.351822641
[136,] 0.693555246 -0.112789833 0.422092399 0.460375685 -0.728916687
[137,] 1.281349502 -0.092283461 -0.817727003 -0.620025967 0.773372049
[138,] 0.685316628 -0.931391670 0.688064870 0.660793215 -0.293211254
[139,] 0.800057188 0.704138303 -1.041986907 1.658226458 0.828972669
[140,] 0.185255105 1.170266309 0.955745811 0.219276739 0.695608795
[141,] -0.940996704 0.932048429 1.094870304 -1.109617203 -2.060442580
[142,] -1.228647276 -0.632631222 -0.436196515 -1.415652909 0.138879559
[143,] 0.631964649 -0.146216842 0.733289711 -0.086350425 -0.812668031
[144,] 1.385573266 0.424244418 -0.452160797 0.308758574 0.867887848
[145,] 0.813511792 0.213226364 0.071052936 0.755872345 0.674997170
[146,] 0.197301264 0.465917527 0.967264800 0.733714396 1.176222001
[147,] 1.235455677 -0.591595738 0.455212302 -0.535261835 0.359330006
[148,] -1.473333958 1.304780238 1.033841021 -0.148047863 0.292685967
[149,] -0.964723308 -1.799043514 -1.320928899 -0.626537889 -0.267542465
[150,] 0.290170704 0.486955046 0.224067390 -0.214950953 1.432480896
[151,] -1.604215530 0.800344799 0.141310547 -1.377255742 -1.390379874
[152,] -0.346736988 0.492503478 1.173191166 -0.260165063 -0.169313736
[153,] 0.237853891 0.957290442 1.085181945 -0.638096414 0.308701899
[154,] 1.845554895 0.056630184 1.026095910 0.892713039 0.826758463
[155,] -0.040462142 -0.463908866 -0.144855977 -0.240788670 0.082789922
[156,] -0.295044275 0.990454442 0.793902066 0.578294279 -1.174475266
[157,] -0.632573443 0.922980583 0.369448609 0.447198652 -0.810679528
[158,] -0.906906000 -0.426772393 -1.646093028 -0.974409426 1.267945298
[159,] 1.013394831 0.979987211 1.083420395 1.537164049 0.494126886
[160,] 0.376369083 1.179330370 0.286403241 -0.156213855 1.525092765
[161,] 0.518644027 -0.116360316 0.746491959 0.837731625 -0.941768747
[162,] 0.009442421 1.242422385 0.647468302 -0.136158857 -0.508615829
[163,] -0.053581424 -0.444200283 0.306284709 -0.896336542 0.183960789
[164,] -1.141212371 -1.782681734 0.441856007 -1.366398153 0.232979171
[165,] -0.951609700 1.006423203 -0.228021319 -1.089883140 0.735677916
[166,] -1.065004459 -0.894555213 -1.590831511 -0.265729803 0.021287804
[167,] 1.103456197 0.774328420 0.300937047 -0.137620118 -0.508808595
[168,] -0.537860319 -0.751016182 0.655994832 -1.789605104 -0.964990075
[169,] 0.163038495 -0.250783470 -1.663441864 -1.322882184 -0.651460876
[170,] -0.813727856 1.003857852 1.007785945 -1.485229691 0.011132399
[171,] -1.842489077 -0.493008125 0.358322007 -1.329919372 0.098014373
[172,] -0.843745990 1.278736562 0.459104317 1.600781858 1.145926221
[173,] -0.750156645 -0.575550443 -0.097819181 0.745958187 -0.316769444
[174,] -0.356236612 -0.007866203 0.656279480 0.084948414 -0.192928024
[175,] 0.225840283 -2.149982534 -2.484531066 1.032104542 1.286745912
[176,] -0.681308359 -0.898660229 -0.646177816 -1.638334012 -1.350180901
[177,] 0.857085677 0.645174695 0.230813881 1.004349556 -0.246107590
[178,] 0.138971641 0.377484991 -0.150186655 0.912471648 0.116073635
[179,] 0.127830865 0.566514022 -1.454211373 -1.310909566 0.149983182
[180,] 0.063954804 -0.537722524 -0.238077072 0.444267160 -0.325366981
[181,] 0.355509995 -0.068493511 0.894334660 0.343430727 -1.269399185
[182,] -0.261129108 -1.366546008 0.697587100 0.114564058 1.230198954
[183,] 0.985707056 0.951202141 0.462683730 0.771498502 -0.120820657
[184,] 1.864948556 0.821838718 0.934094708 1.403685946 1.473340086
[185,] 0.615359889 -0.900034825 -0.605626051 -0.823169831 -1.947648647
[186,] -0.337727525 -3.264311369 0.357130801 -1.327570572 -0.041943278
[187,] -1.732315300 -0.819243083 -0.463034555 -0.830715647 -0.120558531
[188,] 1.915968601 1.155649128 0.963752998 1.685529636 1.519661498
[189,] 0.387499733 -1.135599878 -0.545849196 0.818993340 0.089691281
[190,] -0.579250230 -0.287276300 -2.248000726 -1.355576990 -0.694378688
[191,] 0.892984572 -0.202767556 1.014515564 0.094433663 0.992492086
[192,] -0.258025901 0.678280679 0.869659215 -1.152031850 -0.368714013
[193,] -1.140526682 0.854629090 -0.967415909 2.041132668 0.053897635
[194,] 1.186693896 0.474104689 0.393453660 0.618572700 0.692197605
[195,] 1.633165545 0.474217329 0.879842037 1.053257399 1.216005268
[196,] -1.278341209 -1.023039040 -1.035580945 -1.328589966 -0.968094317
[197,] 0.576444266 0.397471955 0.098727045 0.079562771 1.271747893
[198,] 0.544463194 0.925827719 -1.949401081 -1.104827950 1.304070552
[199,] -0.171700967 -0.012537076 0.073147198 -0.827440021 -1.344154832
[200,] 1.085219933 -1.328553758 -0.816304289 0.403773568 -0.772318038
[201,] 1.082633937 1.173882009 0.659176415 0.458160543 1.163587921
[202,] -0.799750093 -1.382047560 -1.096507311 0.459893742 -1.316683876
[203,] -2.083029077 0.948915753 -2.290809730 -1.046606553 -1.235628379
[204,] 0.382323537 1.121753547 0.095909404 1.059070198 0.507939020
[205,] -0.432005011 0.011964812 0.640551005 0.249784888 0.029552147
[206,] -1.084076634 0.635166057 0.796253050 0.115827154 1.185139566
[207,] -1.424957011 0.383001588 0.114933426 -0.554413073 -0.505022825
[208,] 0.953031716 -1.173441918 -1.438577868 1.079189587 0.371081617
[209,] 0.353595137 -0.348555356 0.718013902 -0.022677072 0.112288917
[210,] 0.320189787 -0.547041013 1.211763917 0.030338729 1.974049485
[211,] -1.541042617 -0.844354116 -0.514225085 -0.907857123 0.308466103
[212,] -0.977638755 0.078162331 0.170086209 -0.771109340 0.492453626
[213,] -1.068147095 0.505574001 0.446291790 0.189777600 0.008411767
[214,] 0.125847998 0.379810555 1.004935570 -0.927945540 -0.042812129
[215,] -0.270123506 0.081479721 -0.124321592 0.475692635 -0.224125013
[216,] -0.239371963 0.628853013 0.675890407 1.201592659 1.155322491
[217,] -0.822501736 0.278799330 0.413033686 -0.605049523 -1.019447704
[218,] 0.879592778 -0.077853099 -0.069414074 1.259683732 0.474794681
[219,] 0.134712754 -0.226343250 0.536473763 1.340831276 -1.931330979
[220,] -1.977645767 -2.981805230 -2.781595047 -1.666139821 -0.302412996
[221,] 0.323647882 -0.452245760 -0.006882960 -0.746788747 -0.440431754
[222,] -1.631753562 0.083607758 -3.132620169 0.328856660 0.519219507
---
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(psych)
library(readxl)
library(tidyverse)
library(corrplot)
library(svgPanZoom)
podaci <- read_excel('potrebe_studenata_2017.xlsx', sheet=1) %>% select(!osoba)
EFA_model <- fa(podaci, nfactors = 5)
file.name <- './graf2.svg'
in.svg <- readChar(file.name, nchars = file.info(file.name)$size)
```
Deskriptiva
=======================================================================
```{r}
datatable(round(describe(podaci),2), filter = 'top',
extensions = c('FixedColumns','Select', 'Buttons'),
options = list(
dom = 'Blfrtip',
select = list(style = 'os', items = 'row'),
buttons = c('selectAll', 'selectNone', 'selectRows', 'selectColumns', 'selectCells'),
pageLength = 15,
scrollX = TRUE,
scrollY= TRUE,
fixedColumns = TRUE
)
)
```
Deskriptiva - slike
=======================================================================
Column {data-width=400}
-----------------------------------------------------------------------
### error.dots
```{r,fig.width = 12,fig.height=11}
error.dots(podaci, tail=30, head=30)
```
Column {data-width=400}
-----------------------------------------------------------------------
### error.bars
```{r,fig.width = 12,fig.height=11}
error.bars(podaci)
```
Korelacije
=======================================================================
```{r}
datatable(round(corr.test(podaci, use = "pairwise.complete.obs", minlength=50)$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
=======================================================================
Column {data-width=400}
-----------------------------------------------------------------------
### koeficijenti korelacija
```{r}
corrplot(round(cor(podaci, 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)
```
Column {data-width=400}
-----------------------------------------------------------------------
### p-vrijednosti korelacija
```{r}
corrplot(round(corr.test(podaci, use = "pairwise.complete.obs")$p, 2), type = "upper", tl.col = "black", tl.srt = 90,
diag=FALSE, mar=c(0,0,0.1,0), tl.cex=0.4)
```
Unutarnja pouzdanost
=======================================================================
Column {data-width=400}
-----------------------------------------------------------------------
### Cronbach alpha
```{r, attr.output='style="max-height: 100%;"'}
psych::alpha(podaci)
```
Column {data-width=400}
-----------------------------------------------------------------------
### split-half
```{r, attr.output='style="max-height: 100%;"'}
splitHalf(podaci)
```
### Kaiser-Meyer-Olkin
```{r, attr.output='style="max-height: 100%;"'}
KMO(podaci)
```
EFA - broj faktora
=======================================================================
Column {data-width=300}
-----------------------------------------------------------------------
### Svojstvene vrijednosti matrice korelacija
```{r warning=FALSE}
EFA_cor <- cor(podaci, use = "pairwise.complete.obs")
sv <- eigen(EFA_cor)
sv$values
```
Column {data-width=500}
-----------------------------------------------------------------------
### SCREE plot
```{r warning=FALSE,fig.width=8, fig.height=7}
scree(podaci)
```
EFA model
=======================================================================
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$loadings, sort=TRUE, cutoff=0.4)
```
Loadings
=======================================================================
Column {.tabset .tabset-fade}
-----------------------------------------------------------------------
### Interaktivna tablica
```{r}
datatable(round(unclass(EFA_model$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
=======================================================================
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
```