Report 1
대석, 충일
1/17/2019
Data Cleaning
Decriptive
## rawdata[, c(5, 6, 7, 8, 9, 10, 106, 107)]
##
## 8 Variables 116 Observations
## ---------------------------------------------------------------------------
## gender
## n missing distinct Info Mean Gmd
## 116 0 2 0.75 1.5 0.5043
##
## Value 1 2
## Frequency 58 58
## Proportion 0.5 0.5
## ---------------------------------------------------------------------------
## age
## n missing distinct Info Mean Gmd
## 116 0 4 0.64 1.345 0.5094
##
## Value 1 2 3 4
## Frequency 81 31 3 1
## Proportion 0.698 0.267 0.026 0.009
## ---------------------------------------------------------------------------
## country
## n missing distinct Info Mean Gmd
## 116 0 8 0.858 2.259 1.754
##
## Value 1 2 3 4 5 6 7 9
## Frequency 59 24 11 5 7 5 4 1
## Proportion 0.509 0.207 0.095 0.043 0.060 0.043 0.034 0.009
## ---------------------------------------------------------------------------
## family
## n missing distinct Info Mean Gmd
## 116 0 3 0.076 1.043 0.08501
##
## Value 1 2 3
## Frequency 113 1 2
## Proportion 0.974 0.009 0.017
## ---------------------------------------------------------------------------
## degree
## n missing distinct Info Mean Gmd
## 116 0 4 0.843 2.448 0.7763
##
## Value 1 2 3 4
## Frequency 10 51 48 7
## Proportion 0.086 0.440 0.414 0.060
## ---------------------------------------------------------------------------
## major
## n missing distinct
## 116 0 64
##
## lowest : accounting Accounting, Finance Applied chemistry Applied Economics Art education
## highest: Social Science Social Sciences Sociolinguistics Sociology Zoology
## ---------------------------------------------------------------------------
## institution
## n missing distinct Info Mean Gmd
## 116 0 5 0.602 1.629 1.005
##
## Value 1 2 3 4 6
## Frequency 85 10 2 18 1
## Proportion 0.733 0.086 0.017 0.155 0.009
## ---------------------------------------------------------------------------
## data source
## n missing distinct
## 116 0 2
##
## Value Mobile Online
## Frequency 16 100
## Proportion 0.138 0.862
## ---------------------------------------------------------------------------## rawdata[, c(28:56, 58:105)]
##
## 77 Variables 116 Observations
## ---------------------------------------------------------------------------
## ppc1
## n missing distinct Info Mean Gmd
## 116 0 7 0.936 4.603 1.414
##
## Value 1 2 3 4 5 6 7
## Frequency 2 8 12 24 37 32 1
## Proportion 0.017 0.069 0.103 0.207 0.319 0.276 0.009
## ---------------------------------------------------------------------------
## ppc2
## n missing distinct Info Mean Gmd
## 116 0 7 0.924 4.845 1.333
##
## Value 1 2 3 4 5 6 7
## Frequency 3 3 9 23 37 38 3
## Proportion 0.026 0.026 0.078 0.198 0.319 0.328 0.026
## ---------------------------------------------------------------------------
## ppc3
## n missing distinct Info Mean Gmd
## 116 0 7 0.903 5.052 1.321
##
## Value 1 2 3 4 5 6 7
## Frequency 1 8 5 11 43 41 7
## Proportion 0.009 0.069 0.043 0.095 0.371 0.353 0.060
## ---------------------------------------------------------------------------
## ppc4
## n missing distinct Info Mean Gmd
## 116 0 7 0.954 4.181 1.656
##
## Value 1 2 3 4 5 6 7
## Frequency 7 13 11 32 28 24 1
## Proportion 0.060 0.112 0.095 0.276 0.241 0.207 0.009
## ---------------------------------------------------------------------------
## ppc5
## n missing distinct Info Mean Gmd
## 116 0 6 0.936 4.716 1.281
##
## Value 2 3 4 5 6 7
## Frequency 4 13 32 33 31 3
## Proportion 0.034 0.112 0.276 0.284 0.267 0.026
## ---------------------------------------------------------------------------
## ppc6
## n missing distinct Info Mean Gmd
## 116 0 7 0.955 4.414 1.584
##
## Value 1 2 3 4 5 6 7
## Frequency 4 7 19 26 32 23 5
## Proportion 0.034 0.060 0.164 0.224 0.276 0.198 0.043
## ---------------------------------------------------------------------------
## ppc7
## n missing distinct Info Mean Gmd
## 116 0 6 0.914 5.103 1.206
##
## Value 2 3 4 5 6 7
## Frequency 3 8 18 39 41 7
## Proportion 0.026 0.069 0.155 0.336 0.353 0.060
## ---------------------------------------------------------------------------
## ppc8
## n missing distinct Info Mean Gmd
## 116 0 7 0.939 4.853 1.434
##
## Value 1 2 3 4 5 6 7
## Frequency 2 4 12 22 34 35 7
## Proportion 0.017 0.034 0.103 0.190 0.293 0.302 0.060
## ---------------------------------------------------------------------------
## ppc9
## n missing distinct Info Mean Gmd
## 116 0 7 0.928 4.94 1.398
##
## Value 1 2 3 4 5 6 7
## Frequency 1 7 8 18 37 38 7
## Proportion 0.009 0.060 0.069 0.155 0.319 0.328 0.060
## ---------------------------------------------------------------------------
## ppc10
## n missing distinct Info Mean Gmd
## 116 0 6 0.941 4.948 1.443
##
## Value 2 3 4 5 6 7
## Frequency 7 10 20 34 35 10
## Proportion 0.060 0.086 0.172 0.293 0.302 0.086
## ---------------------------------------------------------------------------
## ppc11
## n missing distinct Info Mean Gmd
## 116 0 7 0.945 4.776 1.444
##
## Value 1 2 3 4 5 6 7
## Frequency 1 6 10 30 31 30 8
## Proportion 0.009 0.052 0.086 0.259 0.267 0.259 0.069
## ---------------------------------------------------------------------------
## pt1
## n missing distinct Info Mean Gmd
## 116 0 6 0.898 5.388 1.131
##
## Value 2 3 4 5 6 7
## Frequency 4 1 14 37 47 13
## Proportion 0.034 0.009 0.121 0.319 0.405 0.112
## ---------------------------------------------------------------------------
## pt2
## n missing distinct Info Mean Gmd
## 116 0 7 0.955 3.517 1.638
##
## Value 1 2 3 4 5 6 7
## Frequency 6 28 30 16 25 10 1
## Proportion 0.052 0.241 0.259 0.138 0.216 0.086 0.009
## ---------------------------------------------------------------------------
## pt3
## n missing distinct Info Mean Gmd
## 116 0 6 0.924 5.362 1.354
##
## Value 2 3 4 5 6 7
## Frequency 3 7 18 24 45 19
## Proportion 0.026 0.060 0.155 0.207 0.388 0.164
## ---------------------------------------------------------------------------
## pt4
## n missing distinct Info Mean Gmd
## 116 0 6 0.914 5.586 1.243
##
## Value 1 3 4 5 6 7
## Frequency 1 8 7 30 45 25
## Proportion 0.009 0.069 0.060 0.259 0.388 0.216
## ---------------------------------------------------------------------------
## pt5
## n missing distinct Info Mean Gmd
## 116 0 7 0.967 4.172 1.776
##
## Value 1 2 3 4 5 6 7
## Frequency 3 18 21 22 23 24 5
## Proportion 0.026 0.155 0.181 0.190 0.198 0.207 0.043
## ---------------------------------------------------------------------------
## pt6
## n missing distinct Info Mean Gmd
## 116 0 7 0.931 5.078 1.31
##
## Value 1 2 3 4 5 6 7
## Frequency 1 2 7 26 31 39 10
## Proportion 0.009 0.017 0.060 0.224 0.267 0.336 0.086
## ---------------------------------------------------------------------------
## pt7
## n missing distinct Info Mean Gmd
## 116 0 6 0.947 4.81 1.413
##
## Value 2 3 4 5 6 7
## Frequency 4 15 26 35 26 10
## Proportion 0.034 0.129 0.224 0.302 0.224 0.086
## ---------------------------------------------------------------------------
## pps1
## n missing distinct Info Mean Gmd
## 116 0 6 0.942 4.862 1.392
##
## Value 2 3 4 5 6 7
## Frequency 6 8 31 31 31 9
## Proportion 0.052 0.069 0.267 0.267 0.267 0.078
## ---------------------------------------------------------------------------
## pps2
## n missing distinct Info Mean Gmd
## 116 0 6 0.901 5.379 1.204
##
## Value 2 3 4 5 6 7
## Frequency 3 3 19 27 50 14
## Proportion 0.026 0.026 0.164 0.233 0.431 0.121
## ---------------------------------------------------------------------------
## pps3
## n missing distinct Info Mean Gmd
## 116 0 7 0.957 4.612 1.611
##
## Value 1 2 3 4 5 6 7
## Frequency 1 11 14 24 30 28 8
## Proportion 0.009 0.095 0.121 0.207 0.259 0.241 0.069
## ---------------------------------------------------------------------------
## pps4
## n missing distinct Info Mean Gmd
## 116 0 7 0.928 2.853 1.708
##
## Value 1 2 3 4 5 6 7
## Frequency 20 46 15 13 11 10 1
## Proportion 0.172 0.397 0.129 0.112 0.095 0.086 0.009
## ---------------------------------------------------------------------------
## pps5
## n missing distinct Info Mean Gmd
## 116 0 7 0.924 5.336 1.364
##
## Value 1 2 3 4 5 6 7
## Frequency 2 3 3 18 28 44 18
## Proportion 0.017 0.026 0.026 0.155 0.241 0.379 0.155
## ---------------------------------------------------------------------------
## pps6
## n missing distinct Info Mean Gmd
## 116 0 7 0.946 4.759 1.511
##
## Value 1 2 3 4 5 6 7
## Frequency 1 9 9 27 29 34 7
## Proportion 0.009 0.078 0.078 0.233 0.250 0.293 0.060
## ---------------------------------------------------------------------------
## pps7
## n missing distinct Info Mean Gmd
## 116 0 7 0.948 4.802 1.47
##
## Value 1 2 3 4 5 6 7
## Frequency 1 6 10 29 32 28 10
## Proportion 0.009 0.052 0.086 0.250 0.276 0.241 0.086
## ---------------------------------------------------------------------------
## pfs1
## n missing distinct Info Mean Gmd
## 116 0 7 0.962 4.241 1.9
##
## Value 1 2 3 4 5 6 7
## Frequency 10 12 9 33 23 19 10
## Proportion 0.086 0.103 0.078 0.284 0.198 0.164 0.086
## ---------------------------------------------------------------------------
## pfs2
## n missing distinct Info Mean Gmd
## 116 0 7 0.954 4.793 1.841
##
## Value 1 2 3 4 5 6 7
## Frequency 8 8 5 21 25 35 14
## Proportion 0.069 0.069 0.043 0.181 0.216 0.302 0.121
## ---------------------------------------------------------------------------
## pfs3
## n missing distinct Info Mean Gmd
## 116 0 7 0.915 5.216 1.674
##
## Value 1 2 3 4 5 6 7
## Frequency 4 7 7 13 16 49 20
## Proportion 0.034 0.060 0.060 0.112 0.138 0.422 0.172
## ---------------------------------------------------------------------------
## pfs4
## n missing distinct Info Mean Gmd
## 116 0 7 0.923 5.267 1.494
##
## Value 1 2 3 4 5 6 7
## Frequency 3 4 5 17 23 46 18
## Proportion 0.026 0.034 0.043 0.147 0.198 0.397 0.155
## ---------------------------------------------------------------------------
## pcs1
## n missing distinct Info Mean Gmd
## 116 0 7 0.94 5.164 1.472
##
## Value 1 2 3 4 5 6 7
## Frequency 2 4 4 25 26 38 17
## Proportion 0.017 0.034 0.034 0.216 0.224 0.328 0.147
## ---------------------------------------------------------------------------
## pcs2
## n missing distinct Info Mean Gmd
## 116 0 7 0.964 4.457 1.859
##
## Value 1 2 3 4 5 6 7
## Frequency 9 8 11 26 28 23 11
## Proportion 0.078 0.069 0.095 0.224 0.241 0.198 0.095
## ---------------------------------------------------------------------------
## pcs3
## n missing distinct Info Mean Gmd
## 116 0 7 0.957 4.75 1.866
##
## Value 1 2 3 4 5 6 7
## Frequency 6 7 16 16 21 36 14
## Proportion 0.052 0.060 0.138 0.138 0.181 0.310 0.121
## ---------------------------------------------------------------------------
## pcs4
## n missing distinct Info Mean Gmd
## 116 0 7 0.953 5.043 1.727
##
## Value 1 2 3 4 5 6 7
## Frequency 5 6 7 16 29 33 20
## Proportion 0.043 0.052 0.060 0.138 0.250 0.284 0.172
## ---------------------------------------------------------------------------
## pcs5
## n missing distinct Info Mean Gmd
## 116 0 7 0.959 4.819 1.797
##
## Value 1 2 3 4 5 6 7
## Frequency 6 6 9 25 22 32 16
## Proportion 0.052 0.052 0.078 0.216 0.190 0.276 0.138
## ---------------------------------------------------------------------------
## pcs6
## n missing distinct Info Mean Gmd
## 116 0 7 0.93 5.112 1.481
##
## Value 1 2 3 4 5 6 7
## Frequency 3 4 6 20 27 43 13
## Proportion 0.026 0.034 0.052 0.172 0.233 0.371 0.112
## ---------------------------------------------------------------------------
## pcs7
## n missing distinct Info Mean Gmd
## 116 0 7 0.938 5.086 1.485
##
## Value 1 2 3 4 5 6 7
## Frequency 3 5 3 23 30 38 14
## Proportion 0.026 0.043 0.026 0.198 0.259 0.328 0.121
## ---------------------------------------------------------------------------
## pcs8
## n missing distinct Info Mean Gmd
## 116 0 7 0.957 4.284 1.843
##
## Value 1 2 3 4 5 6 7
## Frequency 6 15 15 26 16 34 4
## Proportion 0.052 0.129 0.129 0.224 0.138 0.293 0.034
## ---------------------------------------------------------------------------
## pcs9
## n missing distinct Info Mean Gmd
## 116 0 7 0.932 5.026 1.559
##
## Value 1 2 3 4 5 6 7
## Frequency 3 7 5 21 25 43 12
## Proportion 0.026 0.060 0.043 0.181 0.216 0.371 0.103
## ---------------------------------------------------------------------------
## pcs10
## n missing distinct Info Mean Gmd
## 116 0 7 0.95 4.828 1.826
##
## Value 1 2 3 4 5 6 7
## Frequency 6 7 12 18 20 39 14
## Proportion 0.052 0.060 0.103 0.155 0.172 0.336 0.121
## ---------------------------------------------------------------------------
## we1
## n missing distinct Info Mean Gmd
## 116 0 7 0.923 4.767 1.309
##
## Value 1 2 3 4 5 6 7
## Frequency 1 5 8 29 44 21 8
## Proportion 0.009 0.043 0.069 0.250 0.379 0.181 0.069
## ---------------------------------------------------------------------------
## we2
## n missing distinct Info Mean Gmd
## 116 0 7 0.937 4.664 1.37
##
## Value 1 2 3 4 5 6 7
## Frequency 1 7 9 32 36 26 5
## Proportion 0.009 0.060 0.078 0.276 0.310 0.224 0.043
## ---------------------------------------------------------------------------
## we3
## n missing distinct Info Mean Gmd
## 116 0 7 0.966 4.138 1.881
##
## Value 1 2 3 4 5 6 7
## Frequency 7 20 12 21 28 23 5
## Proportion 0.060 0.172 0.103 0.181 0.241 0.198 0.043
## ---------------------------------------------------------------------------
## we4
## n missing distinct Info Mean Gmd
## 116 0 7 0.952 4.784 1.565
##
## Value 1 2 3 4 5 6 7
## Frequency 2 7 9 28 33 24 13
## Proportion 0.017 0.060 0.078 0.241 0.284 0.207 0.112
## ---------------------------------------------------------------------------
## we5
## n missing distinct Info Mean Gmd
## 116 0 7 0.938 4.759 1.472
##
## Value 1 2 3 4 5 6 7
## Frequency 3 5 11 22 40 27 8
## Proportion 0.026 0.043 0.095 0.190 0.345 0.233 0.069
## ---------------------------------------------------------------------------
## we6
## n missing distinct Info Mean Gmd
## 116 0 7 0.942 4.81 1.474
##
## Value 1 2 3 4 5 6 7
## Frequency 3 5 6 30 36 25 11
## Proportion 0.026 0.043 0.052 0.259 0.310 0.216 0.095
## ---------------------------------------------------------------------------
## we7
## n missing distinct Info Mean Gmd
## 116 0 7 0.956 4.879 1.622
##
## Value 1 2 3 4 5 6 7
## Frequency 3 5 10 26 28 29 15
## Proportion 0.026 0.043 0.086 0.224 0.241 0.250 0.129
## ---------------------------------------------------------------------------
## we8
## n missing distinct Info Mean Gmd
## 116 0 7 0.94 4.293 1.504
##
## Value 1 2 3 4 5 6 7
## Frequency 3 11 12 40 28 17 5
## Proportion 0.026 0.095 0.103 0.345 0.241 0.147 0.043
## ---------------------------------------------------------------------------
## we9
## n missing distinct Info Mean Gmd
## 116 0 7 0.937 4.224 1.539
##
## Value 1 2 3 4 5 6 7
## Frequency 7 6 14 42 25 18 4
## Proportion 0.060 0.052 0.121 0.362 0.216 0.155 0.034
## ---------------------------------------------------------------------------
## ocb1
## n missing distinct Info Mean Gmd
## 116 0 7 0.925 4.931 1.423
##
## Value 1 2 3 4 5 6 7
## Frequency 2 8 5 17 41 35 8
## Proportion 0.017 0.069 0.043 0.147 0.353 0.302 0.069
## ---------------------------------------------------------------------------
## ocb2
## n missing distinct Info Mean Gmd
## 116 0 6 0.943 4.759 1.455
##
## Value 2 3 4 5 6 7
## Frequency 8 11 29 27 35 6
## Proportion 0.069 0.095 0.250 0.233 0.302 0.052
## ---------------------------------------------------------------------------
## ocb3
## n missing distinct Info Mean Gmd
## 116 0 7 0.955 4.181 1.751
##
## Value 1 2 3 4 5 6 7
## Frequency 4 19 14 28 18 32 1
## Proportion 0.034 0.164 0.121 0.241 0.155 0.276 0.009
## ---------------------------------------------------------------------------
## ocb4
## n missing distinct Info Mean Gmd
## 116 0 7 0.929 5.017 1.311
##
## Value 1 2 3 4 5 6 7
## Frequency 1 4 6 23 38 35 9
## Proportion 0.009 0.034 0.052 0.198 0.328 0.302 0.078
## ---------------------------------------------------------------------------
## ocb5
## n missing distinct Info Mean Gmd
## 116 0 7 0.953 4.517 1.543
##
## Value 1 2 3 4 5 6 7
## Frequency 3 6 19 25 30 29 4
## Proportion 0.026 0.052 0.164 0.216 0.259 0.250 0.034
## ---------------------------------------------------------------------------
## ocb6
## n missing distinct Info Mean Gmd
## 116 0 7 0.931 4.922 1.37
##
## Value 1 2 3 4 5 6 7
## Frequency 2 2 9 30 27 39 7
## Proportion 0.017 0.017 0.078 0.259 0.233 0.336 0.060
## ---------------------------------------------------------------------------
## ocb7
## n missing distinct Info Mean Gmd
## 116 0 6 0.915 5.345 1.291
##
## Value 2 3 4 5 6 7
## Frequency 4 3 21 25 47 16
## Proportion 0.034 0.026 0.181 0.216 0.405 0.138
## ---------------------------------------------------------------------------
## ocb8
## n missing distinct Info Mean Gmd
## 116 0 7 0.912 5.776 1.439
##
## Value 1 2 3 4 5 6 7
## Frequency 1 2 6 12 17 32 46
## Proportion 0.009 0.017 0.052 0.103 0.147 0.276 0.397
## ---------------------------------------------------------------------------
## ocb9
## n missing distinct Info Mean Gmd
## 116 0 6 0.893 5.793 1.259
##
## Value 1 2 4 5 6 7
## Frequency 3 2 9 18 49 35
## Proportion 0.026 0.017 0.078 0.155 0.422 0.302
## ---------------------------------------------------------------------------
## ocb10
## n missing distinct Info Mean Gmd
## 116 0 7 0.908 5.629 1.297
##
## Value 1 2 3 4 5 6 7
## Frequency 2 1 3 14 20 48 28
## Proportion 0.017 0.009 0.026 0.121 0.172 0.414 0.241
## ---------------------------------------------------------------------------
## ocb11
## n missing distinct Info Mean Gmd
## 116 0 6 0.908 5.716 1.382
##
## Value 1 3 4 5 6 7
## Frequency 3 7 8 17 45 36
## Proportion 0.026 0.060 0.069 0.147 0.388 0.310
## ---------------------------------------------------------------------------
## pw1
## n missing distinct Info Mean Gmd
## 116 0 7 0.931 4.733 1.374
##
## Value 1 2 3 4 5 6 7
## Frequency 1 8 8 25 41 28 5
## Proportion 0.009 0.069 0.069 0.216 0.353 0.241 0.043
## ---------------------------------------------------------------------------
## pw2
## n missing distinct Info Mean Gmd
## 116 0 7 0.902 5.172 1.181
##
## Value 1 2 3 4 5 6 7
## Frequency 1 2 7 13 45 39 9
## Proportion 0.009 0.017 0.060 0.112 0.388 0.336 0.078
## ---------------------------------------------------------------------------
## pw3
## n missing distinct Info Mean Gmd
## 116 0 6 0.943 4.853 1.37
##
## Value 2 3 4 5 6 7
## Frequency 4 13 26 34 31 8
## Proportion 0.034 0.112 0.224 0.293 0.267 0.069
## ---------------------------------------------------------------------------
## pw4
## n missing distinct Info Mean Gmd
## 116 0 6 0.908 5.543 1.312
##
## Value 2 3 4 5 6 7
## Frequency 4 5 12 22 49 24
## Proportion 0.034 0.043 0.103 0.190 0.422 0.207
## ---------------------------------------------------------------------------
## pw5
## n missing distinct Info Mean Gmd
## 116 0 6 0.957 4.621 1.561
##
## Value 2 3 4 5 6 7
## Frequency 10 16 25 30 27 8
## Proportion 0.086 0.138 0.216 0.259 0.233 0.069
## ---------------------------------------------------------------------------
## pw6
## n missing distinct Info Mean Gmd
## 116 0 7 0.925 5.121 1.29
##
## Value 1 2 3 4 5 6 7
## Frequency 1 2 8 20 35 40 10
## Proportion 0.009 0.017 0.069 0.172 0.302 0.345 0.086
## ---------------------------------------------------------------------------
## pw7
## n missing distinct Info Mean Gmd
## 116 0 6 0.894 5.707 1.093
##
## Value 1 3 4 5 6 7
## Frequency 1 1 13 25 51 25
## Proportion 0.009 0.009 0.112 0.216 0.440 0.216
## ---------------------------------------------------------------------------
## pw8
## n missing distinct Info Mean Gmd
## 116 0 5 0.904 5.871 1.227
##
## Value 1 4 5 6 7
## Frequency 2 15 16 42 41
## Proportion 0.017 0.129 0.138 0.362 0.353
## ---------------------------------------------------------------------------
## pw9
## n missing distinct Info Mean Gmd
## 116 0 7 0.968 3.319 1.964
##
## Value 1 2 3 4 5 6 7
## Frequency 18 28 23 15 13 16 3
## Proportion 0.155 0.241 0.198 0.129 0.112 0.138 0.026
## ---------------------------------------------------------------------------
## pw10
## n missing distinct Info Mean Gmd
## 116 0 7 0.958 3.612 1.836
##
## Value 1 2 3 4 5 6 7
## Frequency 6 34 20 18 17 19 2
## Proportion 0.052 0.293 0.172 0.155 0.147 0.164 0.017
## ---------------------------------------------------------------------------
## pw11
## n missing distinct Info Mean Gmd
## 116 0 7 0.935 4.905 1.39
##
## Value 1 2 3 4 5 6 7
## Frequency 1 5 8 28 29 38 7
## Proportion 0.009 0.043 0.069 0.241 0.250 0.328 0.060
## ---------------------------------------------------------------------------
## pw12
## n missing distinct Info Mean Gmd
## 116 0 6 0.939 2.698 1.575
##
## Value 1 2 3 4 5 6
## Frequency 24 40 24 9 13 6
## Proportion 0.207 0.345 0.207 0.078 0.112 0.052
## ---------------------------------------------------------------------------
## pw13
## n missing distinct Info Mean Gmd
## 116 0 7 0.955 3 1.821
##
## Value 1 2 3 4 5 6 7
## Frequency 22 36 17 13 18 9 1
## Proportion 0.190 0.310 0.147 0.112 0.155 0.078 0.009
## ---------------------------------------------------------------------------
## pw14
## n missing distinct Info Mean Gmd
## 116 0 7 0.939 5.103 1.697
##
## Value 1 2 3 4 5 6 7
## Frequency 2 7 14 11 21 42 19
## Proportion 0.017 0.060 0.121 0.095 0.181 0.362 0.164
## ---------------------------------------------------------------------------
## pw15
## n missing distinct Info Mean Gmd
## 116 0 7 0.966 3.328 2.052
##
## Value 1 2 3 4 5 6 7
## Frequency 20 30 15 20 9 18 4
## Proportion 0.172 0.259 0.129 0.172 0.078 0.155 0.034
## ---------------------------------------------------------------------------
## pw16
## n missing distinct Info Mean Gmd
## 116 0 7 0.925 4.767 1.463
##
## Value 1 2 3 4 5 6 7
## Frequency 3 4 15 21 27 44 2
## Proportion 0.026 0.034 0.129 0.181 0.233 0.379 0.017
## ---------------------------------------------------------------------------
## pw17
## n missing distinct Info Mean Gmd
## 116 0 7 0.96 4.284 1.673
##
## Value 1 2 3 4 5 6 7
## Frequency 5 11 18 25 30 23 4
## Proportion 0.043 0.095 0.155 0.216 0.259 0.198 0.034
## ---------------------------------------------------------------------------
## pw18
## n missing distinct Info Mean Gmd
## 116 0 7 0.964 3.647 1.865
##
## Value 1 2 3 4 5 6 7
## Frequency 7 31 19 22 19 12 6
## Proportion 0.060 0.267 0.164 0.190 0.164 0.103 0.052
## ---------------------------------------------------------------------------## rawdata[, 108:115]
##
## 8 Variables 116 Observations
## ---------------------------------------------------------------------------
## tppc
## n missing distinct Info Mean Gmd .05 .10
## 116 0 40 0.999 52.43 11.49 35.00 39.50
## .25 .50 .75 .90 .95
## 46.00 52.50 60.00 65.00 67.25
##
## lowest : 22 28 35 36 37, highest: 68 69 70 71 73
## ---------------------------------------------------------------------------
## tpt
## n missing distinct Info Mean Gmd .05 .10
## 116 0 24 0.993 33.91 5.267 25.00 28.50
## .25 .50 .75 .90 .95
## 31.75 34.00 37.00 40.00 41.00
##
## lowest : 19 22 24 25 26, highest: 42 43 44 45 46
## ---------------------------------------------------------------------------
## tpps
## n missing distinct Info Mean Gmd .05 .10
## 116 0 28 0.997 32.6 6.96 22.00 26.00
## .25 .50 .75 .90 .95
## 28.00 33.00 37.25 40.50 42.00
##
## lowest : 15 17 19 20 22, highest: 41 42 43 44 46
## ---------------------------------------------------------------------------
## tpfs
## n missing distinct Info Mean Gmd .05 .10
## 116 0 23 0.994 19.52 5.742 9.75 13.00
## .25 .50 .75 .90 .95
## 16.00 20.50 23.00 25.50 27.00
##
## lowest : 4 5 8 9 10, highest: 24 25 26 27 28
## ---------------------------------------------------------------------------
## twe
## n missing distinct Info Mean Gmd .05 .10
## 116 0 38 0.998 41.32 10.64 26.75 29.50
## .25 .50 .75 .90 .95
## 36.00 42.50 47.00 52.00 55.25
##
## lowest : 14 15 16 21 23, highest: 56 57 58 60 63
## ---------------------------------------------------------------------------
## tocb
## n missing distinct Info Mean Gmd .05 .10
## 116 0 33 0.998 56.59 9.628 44.75 46.00
## .25 .50 .75 .90 .95
## 50.75 56.00 63.00 67.00 70.00
##
## lowest : 17 40 43 44 45, highest: 69 70 71 72 75
## ---------------------------------------------------------------------------
## tpw
## n missing distinct Info Mean Gmd .05 .10
## 116 0 36 0.998 80.28 10.85 66.75 70.00
## .25 .50 .75 .90 .95
## 73.75 79.00 85.25 93.50 100.00
##
## lowest : 60 63 64 66 67, highest: 95 96 100 103 108
## ---------------------------------------------------------------------------
## tpcs
## n missing distinct Info Mean Gmd .05 .10
## 116 0 46 0.998 48.57 13.56 26.75 31.50
## .25 .50 .75 .90 .95
## 40.00 51.00 58.00 62.00 64.25
##
## lowest : 10 18 22 23 24, highest: 64 65 67 69 70
## ---------------------------------------------------------------------------## rawdata[, 116:123]
##
## 8 Variables 116 Observations
## ---------------------------------------------------------------------------
## mppc
## n missing distinct Info Mean Gmd .05 .10
## 116 0 40 0.999 4.766 1.045 3.182 3.591
## .25 .50 .75 .90 .95
## 4.182 4.773 5.455 5.909 6.114
##
## lowest : 2.000000 2.545455 3.181818 3.272727 3.363636
## highest: 6.181818 6.272727 6.363636 6.454545 6.636364
## ---------------------------------------------------------------------------
## mpt
## n missing distinct Info Mean Gmd .05 .10
## 116 0 24 0.993 4.845 0.7525 3.571 4.071
## .25 .50 .75 .90 .95
## 4.536 4.857 5.286 5.714 5.857
##
## lowest : 2.714286 3.142857 3.428571 3.571429 3.714286
## highest: 6.000000 6.142857 6.285714 6.428571 6.571429
## ---------------------------------------------------------------------------
## mpps
## n missing distinct Info Mean Gmd .05 .10
## 116 0 28 0.997 4.658 0.9943 3.143 3.714
## .25 .50 .75 .90 .95
## 4.000 4.714 5.321 5.786 6.000
##
## lowest : 2.142857 2.428571 2.714286 2.857143 3.142857
## highest: 5.857143 6.000000 6.142857 6.285714 6.571429
## ---------------------------------------------------------------------------
## mpfs
## n missing distinct Info Mean Gmd .05 .10
## 116 0 23 0.994 4.879 1.435 2.438 3.250
## .25 .50 .75 .90 .95
## 4.000 5.125 5.750 6.375 6.750
##
## lowest : 1.00 1.25 2.00 2.25 2.50, highest: 6.00 6.25 6.50 6.75 7.00
## ---------------------------------------------------------------------------
## mpcs
## n missing distinct Info Mean Gmd .05 .10
## 116 0 46 0.998 4.857 1.356 2.675 3.150
## .25 .50 .75 .90 .95
## 4.000 5.100 5.800 6.200 6.425
##
## lowest : 1.0 1.8 2.2 2.3 2.4, highest: 6.4 6.5 6.7 6.9 7.0
## ---------------------------------------------------------------------------
## mwe
## n missing distinct Info Mean Gmd .05 .10
## 116 0 38 0.998 4.591 1.182 2.972 3.278
## .25 .50 .75 .90 .95
## 4.000 4.722 5.222 5.778 6.139
##
## lowest : 1.555556 1.666667 1.777778 2.333333 2.555556
## highest: 6.222222 6.333333 6.444444 6.666667 7.000000
## ---------------------------------------------------------------------------
## mocb
## n missing distinct Info Mean Gmd .05 .10
## 116 0 33 0.998 5.144 0.8753 4.068 4.182
## .25 .50 .75 .90 .95
## 4.614 5.091 5.727 6.091 6.364
##
## lowest : 1.545455 3.636364 3.909091 4.000000 4.090909
## highest: 6.272727 6.363636 6.454545 6.545455 6.818182
## ---------------------------------------------------------------------------
## mpw
## n missing distinct Info Mean Gmd .05 .10
## 116 0 36 0.998 4.46 0.6028 3.708 3.889
## .25 .50 .75 .90 .95
## 4.097 4.389 4.736 5.194 5.556
##
## lowest : 3.333333 3.500000 3.555556 3.666667 3.722222
## highest: 5.277778 5.333333 5.555556 5.722222 6.000000
## ---------------------------------------------------------------------------Correlation
# plot
plot(data1)
# Correlation
rcorr(as.matrix(data1))## mppc mpt mpps mpfs mpcs mwe mocb mpw
## mppc 1.00 0.37 0.51 0.26 0.39 0.52 0.35 0.36
## mpt 0.37 1.00 0.44 0.16 0.30 0.25 0.52 0.30
## mpps 0.51 0.44 1.00 0.30 0.45 0.59 0.56 0.37
## mpfs 0.26 0.16 0.30 1.00 0.43 0.34 0.38 0.21
## mpcs 0.39 0.30 0.45 0.43 1.00 0.34 0.48 0.18
## mwe 0.52 0.25 0.59 0.34 0.34 1.00 0.48 0.35
## mocb 0.35 0.52 0.56 0.38 0.48 0.48 1.00 0.35
## mpw 0.36 0.30 0.37 0.21 0.18 0.35 0.35 1.00
##
## n= 116
##
##
## P
## mppc mpt mpps mpfs mpcs mwe mocb mpw
## mppc 0.0000 0.0000 0.0043 0.0000 0.0000 0.0001 0.0000
## mpt 0.0000 0.0000 0.0902 0.0013 0.0075 0.0000 0.0012
## mpps 0.0000 0.0000 0.0010 0.0000 0.0000 0.0000 0.0000
## mpfs 0.0043 0.0902 0.0010 0.0000 0.0002 0.0000 0.0207
## mpcs 0.0000 0.0013 0.0000 0.0000 0.0002 0.0000 0.0510
## mwe 0.0000 0.0075 0.0000 0.0002 0.0002 0.0000 0.0001
## mocb 0.0001 0.0000 0.0000 0.0000 0.0000 0.0000 0.0001
## mpw 0.0000 0.0012 0.0000 0.0207 0.0510 0.0001 0.0001# Corvarence
round(cov(data1), digits=2)## mppc mpt mpps mpfs mpcs mwe mocb mpw
## mppc 0.86 0.23 0.42 0.32 0.44 0.51 0.25 0.18
## mpt 0.23 0.46 0.26 0.14 0.24 0.18 0.28 0.11
## mpps 0.42 0.26 0.77 0.34 0.47 0.54 0.39 0.17
## mpfs 0.32 0.14 0.34 1.69 0.67 0.46 0.39 0.15
## mpcs 0.44 0.24 0.47 0.67 1.45 0.43 0.46 0.12
## mwe 0.51 0.18 0.54 0.46 0.43 1.11 0.40 0.20
## mocb 0.25 0.28 0.39 0.39 0.46 0.40 0.62 0.15
## mpw 0.18 0.11 0.17 0.15 0.12 0.20 0.15 0.29Decision tree
##
## Model formula:
## mocb ~ mppc + mpt + mpps + mpfs + mpcs + mwe + mpw
##
## Fitted party:
## [1] root
## | [2] mpps < 4.64286
## | | [3] mpcs < 4.7
## | | | [4] mpfs < 3.375: 3.898 (n = 8, err = 7.6)
## | | | [5] mpfs >= 3.375
## | | | | [6] mpt < 4.64286: 4.448 (n = 15, err = 1.7)
## | | | | [7] mpt >= 4.64286: 4.987 (n = 7, err = 2.1)
## | | [8] mpcs >= 4.7
## | | | [9] mpfs < 5.125: 4.846 (n = 13, err = 3.0)
## | | | [10] mpfs >= 5.125: 5.253 (n = 14, err = 4.9)
## | [11] mpps >= 4.64286
## | | [12] mwe < 5.72222
## | | | [13] mppc < 5.59091
## | | | | [14] mwe >= 4.94444: 5.008 (n = 11, err = 2.5)
## | | | | [15] mwe < 4.94444: 5.401 (n = 22, err = 9.0)
## | | | [16] mppc >= 5.59091: 5.828 (n = 9, err = 0.5)
## | | [17] mwe >= 5.72222: 5.941 (n = 17, err = 2.7)
##
## Number of inner nodes: 8
## Number of terminal nodes: 9
##
## Call:
## randomForest(formula = mocb ~ ., data = data1)
## Type of random forest: regression
## Number of trees: 500
## No. of variables tried at each split: 2
##
## Mean of squared residuals: 0.4317252
## % Var explained: 30.25## IncNodePurity
## mppc 6.667046
## mpt 11.016940
## mpps 14.742111
## mpfs 6.176731
## mpcs 10.330825
## mwe 11.255998
## mpw 5.714401
## Length Class Mode
## 1 5 constparty list
## 2 3 constparty list
## 3 1 constparty list
## 4 1 constparty list
## 5 1 constparty list##
## Model formula:
## mpw ~ mppc + mpt + mpps + mpfs + mpcs + mwe + mocb
##
## Fitted party:
## [1] root
## | [2] mppc < 5.68182
## | | [3] mwe < 4.83333
## | | | [4] mpt < 4.92857
## | | | | [5] mpcs < 3.15: 3.881 (n = 7, err = 0.4)
## | | | | [6] mpcs >= 3.15
## | | | | | [7] mpcs >= 4.3: 4.088 (n = 19, err = 2.3)
## | | | | | [8] mpcs < 4.3: 4.322 (n = 10, err = 0.9)
## | | | [9] mpt >= 4.92857
## | | | | [10] mpt >= 5.21429: 4.247 (n = 9, err = 2.5)
## | | | | [11] mpt < 5.21429: 4.581 (n = 13, err = 1.8)
## | | [12] mwe >= 4.83333
## | | | [13] mocb >= 5.22727
## | | | | [14] mocb < 5.77273: 4.167 (n = 11, err = 1.3)
## | | | | [15] mocb >= 5.77273: 4.761 (n = 10, err = 2.6)
## | | | [16] mocb < 5.22727: 4.693 (n = 19, err = 4.2)
## | [17] mppc >= 5.68182: 4.941 (n = 18, err = 4.6)
##
## Number of inner nodes: 8
## Number of terminal nodes: 9
##
## Call:
## randomForest(formula = mpw ~ ., data = data1)
## Type of random forest: regression
## Number of trees: 500
## No. of variables tried at each split: 2
##
## Mean of squared residuals: 0.2606269
## % Var explained: 9.42## IncNodePurity
## mppc 5.552744
## mpt 3.812468
## mpps 4.306359
## mpfs 3.107299
## mpcs 3.741254
## mwe 4.731119
## mocb 4.582161
## Length Class Mode
## 1 3 constparty list
## 2 1 constparty list
## 3 1 constparty list##
## Model formula:
## mwe ~ mppc + mpt + mpps + mpfs + mpcs + mocb + mpw
##
## Fitted party:
## [1] root
## | [2] mpps < 3.92857
## | | [3] mocb < 4.5: 2.841 (n = 7, err = 3.6)
## | | [4] mocb >= 4.5: 3.825 (n = 14, err = 11.4)
## | [5] mpps >= 3.92857
## | | [6] mppc < 4.77273
## | | | [7] mpw < 4.08333: 3.778 (n = 12, err = 8.6)
## | | | [8] mpw >= 4.08333
## | | | | [9] mpw < 4.88889: 4.417 (n = 24, err = 8.1)
## | | | | [10] mpw >= 4.88889: 5.111 (n = 7, err = 2.0)
## | | [11] mppc >= 4.77273
## | | | [12] mpps < 5.64286
## | | | | [13] mpcs >= 6.15: 4.508 (n = 7, err = 4.7)
## | | | | [14] mpcs < 6.15
## | | | | | [15] mpw < 4.25: 4.741 (n = 9, err = 2.6)
## | | | | | [16] mpw >= 4.25
## | | | | | | [17] mpt < 5.35714: 5.111 (n = 16, err = 3.8)
## | | | | | | [18] mpt >= 5.35714: 5.667 (n = 7, err = 1.8)
## | | | [19] mpps >= 5.64286: 5.872 (n = 13, err = 6.8)
##
## Number of inner nodes: 9
## Number of terminal nodes: 10
##
## Call:
## randomForest(formula = mwe ~ ., data = data1)
## Type of random forest: regression
## Number of trees: 500
## No. of variables tried at each split: 2
##
## Mean of squared residuals: 0.7686058
## % Var explained: 30.15## IncNodePurity
## mppc 20.66201
## mpt 12.61577
## mpps 26.79133
## mpfs 14.54101
## mpcs 12.79472
## mocb 16.92522
## mpw 13.13701
## Length Class Mode
## 1 7 constparty list
## 2 1 constparty list
## 3 5 constparty list
## 4 3 constparty list
## 5 1 constparty list
## 6 1 constparty list
## 7 1 constparty listLPA
## Fit Equal variances and covariances fixed to 0 (model 1) model with 2 profiles.## LogLik is 1113.432## BIC is 2345.704## Entropy is 0.94## Fit Equal variances and covariances fixed to 0 (model 1) model with 3 profiles.## LogLik is 1084.044## BIC is 2329.711## Entropy is 0.933## Fit Equal variances and covariances fixed to 0 (model 1) model with 4 profiles.## LogLik is 1074.475## BIC is 2353.353## Entropy is 0.929
## Fit Equal variances and covariances fixed to 0 (model 1) model with 3 profiles.## LogLik is 1084.044## BIC is 2329.711## Entropy is 0.933
## Fit NA model with 3 profiles.## LogLik is 956.598## BIC is 2550.177## Entropy is 0.936## # A tibble: 116 x 10
## mppc mpt mpps mpfs mpcs mwe mocb mpw profile posterior_prob
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <fct> <dbl>
## 1 5.64 5.43 5.43 5.25 6.1 5.78 5.82 5.72 1 0.985
## 2 4.73 4.57 5.14 4 4.8 5.44 5.18 4.94 1 0.719
## 3 3.91 4.57 4 4 5.2 4.89 4.55 4 2 0.959
## 4 5.82 5.71 5.43 5.75 6 5.56 6 5.56 1 0.990
## 5 5.18 4.14 3.86 3 3.4 3 3.64 4.39 3 1.000
## 6 6 6 6 4.5 3.7 4 6 6 1 1
## 7 4.45 4.71 4.14 4 2.6 4.22 4.36 3.78 3 1.000
## 8 4.91 5.29 4 6.5 5.3 5.67 4.55 4.56 2 1.000
## 9 4 4.71 4.43 4.25 5.6 3.67 5.82 4 1 0.792
## 10 3.27 4.43 4.14 3.75 3.1 4 4.09 3.94 3 1.000
## # … with 106 more rowsBaysian Network
## Warning in vstruct.apply(arcs = arcs, vs = vs, nodes = nodes, strict =
## strict, : vstructure mpps -> mocb <- mpcs is not applicable, because one or
## both arcs are oriented in the opposite direction.
## Warning in vstruct.apply(arcs = arcs, vs = vs, nodes = nodes, strict =
## strict, : vstructure mpps -> mocb <- mpcs is not applicable, because one or
## both arcs are oriented in the opposite direction.
## Warning in vstruct.apply(arcs = arcs, vs = vs, nodes = nodes, strict =
## strict, : vstructure mpps -> mocb <- mpcs is not applicable, because one or
## both arcs are oriented in the opposite direction.
## Warning in vstruct.apply(arcs = arcs, vs = vs, nodes = nodes, strict =
## strict, : vstructure mpps -> mocb <- mpcs is not applicable, because one or
## both arcs are oriented in the opposite direction.## $tp
## [1] 2
##
## $fp
## [1] 7
##
## $fn
## [1] 6## $tp
## [1] 5
##
## $fp
## [1] 4
##
## $fn
## [1] 3## $tp
## [1] 2
##
## $fp
## [1] 7
##
## $fn
## [1] 6##
## Bayesian network learned via Score-based methods
##
## model:
## [mpps][mwe|mpps][mppc|mpps:mwe][mocb|mpps:mwe][mpt|mppc:mocb]
## [mpcs|mppc:mocb][mpw|mppc:mpps][mpfs|mpcs:mwe]
## nodes: 8
## arcs: 13
## undirected arcs: 0
## directed arcs: 13
## average markov blanket size: 3.75
## average neighbourhood size: 3.25
## average branching factor: 1.62
##
## learning algorithm: Hill-Climbing
## score: BIC (Gauss.)
## penalization coefficient: 2.376795
## tests used in the learning procedure: 119
## optimized: TRUE## $tp
## [1] 5
##
## $fp
## [1] 3
##
## $fn
## [1] 8
## Loading required namespace: Rgraphviz
## A graphNEL graph with directed edges
## Number of Nodes = 8
## Number of Edges = 13## A graphNEL graph with directed edges
## Number of Nodes = 8
## Number of Edges = 8Moderated Mediation Result
IBM SPSS Web Report - Output4
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Log
Log
Matrix
Text OutputMatrix Matrix - Text Output - January 17, 2019
Run MATRIX procedure:
**************** PROCESS Procedure for SPSS Version 3.2 ******************
Written by Andrew F. Hayes, Ph.D. www.afhayes.com
Documentation available in Hayes (2018). www.guilford.com/p/hayes3Model : 7
Y : mocb
X : mppc
M : mwe
W : mppsSample
Size: 116
OUTCOME VARIABLE:
mwe
Model Summary
R R-sq MSE F df1 df2 p
.64 .42 .67 26.49 3.00 112.00 .00Model
coeff se t p LLCI ULCIconstant 4.59 .08 55.72 .00 4.43 4.75
mppc .34 .10 3.54 .00 .15 .53
mpps .52 .10 5.18 .00 .32 .72
Int_1 .00 .08 .00 1.00 -.15 .15
Product terms key:
Int_1 : mppc x mpps
Test(s) of highest order unconditional interaction(s):
R2-chng F df1 df2 pX*W .00 .00 1.00 112.00 1.00
Focal predict: mppc (X)
Mod var: mpps (W)Data for visualizing the conditional effect of the focal predictor:
Paste text below into a SPSS syntax window and execute to produce plot.
DATA LIST FREE/
mppc mpps mwe .
BEGIN DATA.
-.93 -.88 3.81
.00 -.88 4.13
.93 -.88 4.45
-.93 .00 4.27
.00 .00 4.59
.93 .00 4.91
-.93 .88 4.73
.00 .88 5.05
.93 .88 5.37END DATA.
GRAPH/SCATTERPLOT=
mppc WITH mwe BY mpps .
OUTCOME VARIABLE:
mocb
Model Summary
R R-sq MSE F df1 df2 p
.49 .24 .48 18.15 2.00 113.00 .00Model
coeff se t p LLCI ULCIconstant 3.73 .34 11.05 .00 3.06 4.39
mppc .11 .08 1.36 .18 -.05 .27
mwe .31 .07 4.29 .00 .17 .45
****************** DIRECT AND INDIRECT EFFECTS OF X ON Y *****************
Direct effect of X on Y
Effect se t p LLCI ULCI
.11 .08 1.36 .18 -.05 .27Conditional indirect effects of X on Y:
INDIRECT EFFECT:
mppc -> mwe -> mocb
mpps Effect BootSE BootLLCI BootULCI
-.88 .11 .04 .04 .20
.00 .11 .04 .03 .19
.88 .11 .05 .02 .21
Index of moderated mediation:
Index BootSE BootLLCI BootULCImpps .00 .02 -.05 .04
Pairwise contrasts between conditional indirect effects (Effect1 minus Effect2)
Effect1 Effect2 Contrast BootSE BootLLCI BootULCI
.11 .11 .00 .02 -.05 .04
.11 .11 .00 .04 -.10 .08
.11 .11 .00 .02 -.05 .04Bootstrap estimates were saved to a file
Map of column names to model coefficients:
Conseqnt AntecdntCOL1 mwe constant
COL2 mwe mppc
COL3 mwe mpps
COL4 mwe Int_1
COL5 mocb constant
COL6 mocb mppc
COL7 mocb mwe
*********************** ANALYSIS NOTES AND ERRORS ************************
Level of confidence for all confidence intervals in output:
95.0000
Number of bootstrap samples for percentile bootstrap confidence intervals:
5000
W values in conditional tables are the mean and +/- SD from the mean.
NOTE: The following variables were mean centered prior to analysis:
mpps mppc—— END MATRIX —–