Pengaruh Budaya Organisasi dan Gaya Kepemimpinan Transformasional terhadap Intensi Turnover Karyawan
LAMPIRAN
Universitas Sumatera Utara
A. DAYA BEDA ITEM SKALA INTENSI TURNOVER KARYAWAN
1. PUTARAN I
Reliability Statistics
Cronbach's Alpha
N of Items
.908
30
Item-Total Statistics
Scale Mean if
Scale Variance if Item
Corrected Item-Total
Cronbach's Alpha if Item
Item Deleted
Deleted
Correlation
Deleted
ITEM1
82.2000
205.879
.500
.905
ITEM2
82.1900
203.448
.585
.904
ITEM3
81.8200
204.291
.555
.904
ITEM4
83.1400
219.738
-.017
.914
ITEM5
82.5900
208.143
.408
.907
ITEM6
82.8100
207.368
.445
.906
ITEM7
82.3800
200.622
.609
.903
ITEM8
82.4200
202.973
.581
.904
ITEM9
82.0300
202.454
.578
.904
ITEM10
82.7000
210.374
.323
.908
ITEM11
82.6900
204.863
.531
.905
ITEM12
82.6000
208.970
.386
.907
ITEM13
82.8000
208.465
.415
.906
ITEM14
82.8200
202.553
.629
.903
ITEM15
82.6700
206.728
.470
.906
ITEM16
82.6800
203.836
.558
.904
ITEM17
82.3100
213.246
.223
.910
ITEM18
82.2700
209.795
.377
.907
ITEM19
82.6400
203.970
.599
.904
ITEM20
82.5700
203.338
.589
.904
ITEM21
82.4800
209.363
.366
.907
ITEM22
83.0200
210.101
.372
.907
ITEM23
83.0400
202.402
.683
.902
ITEM24
83.0100
200.879
.696
.902
ITEM25
82.8100
201.832
.635
.903
ITEM26
82.8700
202.559
.617
.903
ITEM27
82.9700
204.736
.592
.904
ITEM28
82.7000
205.687
.480
.905
ITEM29
82.3400
220.126
-.022
.912
ITEM30
82.7700
204.563
.479
.906
Universitas Sumatera Utara
2. PUTARAN II
Reliability Statistics
Cronbach's Alpha
N of Items
.920
27
Item-Total Statistics
Scale Mean if Item
Scale Variance if
Corrected Item-Total
Cronbach's Alpha if Item
Deleted
Item Deleted
Correlation
Deleted
ITEM1
73.6100
198.907
.510
.917
ITEM2
73.6000
196.747
.585
.916
ITEM3
73.2300
197.452
.560
.917
ITEM5
74.0000
201.253
.413
.919
ITEM6
74.2200
199.608
.484
.918
ITEM7
73.7900
193.925
.611
.916
ITEM8
73.8300
196.062
.590
.916
ITEM9
73.4400
195.522
.588
.916
ITEM10
74.1100
204.079
.304
.921
ITEM11
74.1000
198.717
.509
.917
ITEM12
74.0100
202.313
.381
.919
ITEM13
74.2100
201.764
.412
.919
ITEM14
74.2300
195.472
.646
.915
ITEM15
74.0800
200.054
.467
.918
ITEM16
74.0900
197.517
.544
.917
ITEM18
73.6800
203.028
.376
.919
ITEM19
74.0500
197.159
.604
.916
ITEM20
73.9800
196.202
.606
.916
ITEM21
73.8900
201.957
.390
.919
ITEM22
74.4300
203.338
.371
.919
ITEM23
74.4500
195.927
.675
.915
ITEM24
74.4200
194.307
.694
.914
ITEM25
74.2200
194.577
.658
.915
ITEM26
74.2800
195.880
.617
.916
ITEM27
74.3800
197.996
.593
.916
ITEM28
74.1100
199.311
.467
.918
ITEM30
74.1800
197.402
.495
.918
Universitas Sumatera Utara
B. ANALISIS FAKTOR SKALA INTENSI TURNOVER KARYAWAN
1
THINKING TO QUIT
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of Sphericity
.758
Approx. Chi-Square
197.145
df
36
Sig.
.000
Anti-image Matrices
ITEM1
Anti-image
ITEM7
ITEM10
ITEM13
ITEM16
ITEM19
ITEM22
ITEM25
ITEM28
ITEM1
.768
-.210
-.066
-.046
-.022
-.018
.065
-.085
.052
Covariance ITEM7
-.210
.597
.117
-.088
-.092
-.165
-.032
-.047
-.073
ITEM10
-.066
.117
.796
.089
-.117
-.245
-.062
.056
-.050
ITEM13
-.046
-.088
.089
.722
-.029
-.029
.078
-.197
-.068
ITEM16
-.022
-.092
-.117
-.029
.664
.074
-.184
-.108
-.165
ITEM19
-.018
-.165
-.245
-.029
.074
.590
-.033
-.196
-.010
ITEM22
.065
-.032
-.062
.078
-.184
-.033
.744
-.052
-.172
ITEM25
-.085
-.047
.056
-.197
-.108
-.196
-.052
.558
-.015
ITEM28
.052
-.073
-.050
-.068
-.165
-.010
-.172
-.015
.739
a
-.309
-.085
-.062
-.031
-.026
.085
-.130
.070
-.309
a
.170
-.135
-.146
-.279
-.048
-.082
-.110
a
.117
-.162
-.357
-.081
.083
-.065
.117
a
-.042
-.045
.107
-.311
-.093
a
.118
-.261
-.178
-.236
a
-.049
-.342
-.015
a
-.081
-.232
a
-.024
Anti-image
ITEM1
Correlation ITEM7
ITEM10
ITEM13
.781
-.085
-.062
.782
.170
-.135
.528
.791
ITEM16
-.031
-.146
-.162
-.042
ITEM19
-.026
-.279
-.357
-.045
.773
.118
.714
ITEM22
.085
-.048
-.081
.107
-.261
-.049
.760
ITEM25
-.130
-.082
.083
-.311
-.178
-.342
-.081
.787
ITEM28
.070
-.110
-.065
-.093
-.236
-.015
-.232
-.024
a. Measures of Sampling Adequacy(MSA)
Universitas Sumatera Utara
.807
a
Communalities
Initial
Extraction
ITEM1
1.000
.493
ITEM7
1.000
.597
ITEM10
1.000
.830
ITEM13
1.000
.575
ITEM16
1.000
.602
ITEM19
1.000
.677
ITEM22
1.000
.622
ITEM25
1.000
.619
ITEM28
1.000
.600
Extraction Method: Principal Component Analysis.
Total Variance Explained
Component
Extraction Sums of Squared
Initial Eigenvalues
Loadings
% of
Total
dimension0
Variance
Rotation Sums of Squared Loadings
% of
Cumulative %
Total
Variance
% of
Cumulative %
Total
Variance
Cumulative %
1
3.141
34.901
34.901
3.141
34.901
34.901
2.455
27.283
27.283
2
1.417
15.743
50.644
1.417
15.743
50.644
1.919
21.321
48.603
3
1.057
11.749
62.393
1.057
11.749
62.393
1.241
13.790
62.393
4
.776
8.626
71.019
5
.651
7.232
78.251
6
.608
6.757
85.008
7
.524
5.824
90.832
8
.476
5.286
96.118
9
.349
3.882
100.000
Extraction Method: Principal Component Analysis.
Universitas Sumatera Utara
Component Matrix
a
Component
1
2
3
ITEM1
.510
-.433
.213
ITEM7
.714
-.286
-.069
ITEM10
.310
.453
.727
ITEM13
.557
-.433
-.277
ITEM16
.632
.383
-.237
ITEM19
.677
-.104
.456
ITEM22
.486
.595
-.179
ITEM25
.750
-.234
-.031
ITEM28
.556
.433
-.322
Extraction Method: Principal Component Analysis.
a. 3 components extracted.
Rotated Component Matrix
a
Component
1
2
3
ITEM1
.674
-.100
.170
ITEM7
.733
.243
.021
ITEM10
-.027
.174
.894
ITEM13
.698
.142
-.259
ITEM16
.243
.732
.086
ITEM19
.602
.118
.548
ITEM22
-.002
.769
.175
ITEM25
.729
.283
.083
ITEM28
.151
.760
.007
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 5 iterations.
Component Transformation Matrix
Component
dimension0
1
2
3
1
.776
.575
.258
2
-.630
.691
.354
3
.025
-.437
.899
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Universitas Sumatera Utara
2
INTENTION TO SEARCH
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of Sphericity
.815
Approx. Chi-Square
226.947
df
28
Sig.
.000
Anti-image Matrices
ITEM2
Anti-image
ITEM5
ITEM8
ITEM11
ITEM14 ITEM20
ITEM23
ITEM26
ITEM2
.624
-.106
-.096
-.269
-.037
-.030
.014
-.041
Covariance ITEM5
-.106
.842
-.044
.002
-.005
.040
-.213
.031
ITEM8
-.096
-.044
.610
-.034
-.047
-.123
-.026
-.155
ITEM11
-.269
.002
-.034
.656
.072
-.076
-.067
-.077
ITEM14
-.037
-.005
-.047
.072
.526
-.219
-.193
-.075
ITEM20
-.030
.040
-.123
-.076
-.219
.536
.025
-.095
ITEM23
.014
-.213
-.026
-.067
-.193
.025
.649
-.092
ITEM26
-.041
.031
-.155
-.077
-.075
-.095
-.092
.599
a
-.146
-.156
-.421
-.064
-.053
.022
-.067
a
-.061
.003
-.008
.059
-.289
.044
-.061
a
-.054
-.083
-.214
-.042
-.257
a
.122
-.128
-.102
-.123
a
-.412
-.331
-.134
a
.042
-.168
a
-.148
Anti-image
ITEM2
Correlation ITEM5
ITEM8
.800
-.146
-.156
.732
.882
ITEM11
-.421
.003
-.054
ITEM14
-.064
-.008
-.083
.770
.122
.783
ITEM20
-.053
.059
-.214
-.128
-.412
.817
ITEM23
.022
-.289
-.042
-.102
-.331
.042
.792
ITEM26
-.067
.044
-.257
-.123
-.134
-.168
-.148
a. Measures of Sampling Adequacy(MSA)
Universitas Sumatera Utara
.882
a
Communalities
Initial
Extraction
ITEM2
1.000
.729
ITEM5
1.000
.837
ITEM8
1.000
.563
ITEM11
1.000
.752
ITEM14
1.000
.732
ITEM20
1.000
.688
ITEM23
1.000
.667
ITEM26
1.000
.595
Extraction Method: Principal Component Analysis.
Total Variance Explained
Component
Extraction Sums of Squared
Initial Eigenvalues
Loadings
% of
Total
Variance
Rotation Sums of Squared Loadings
% of
Cumulative %
Total
Variance
% of
Cumulative %
Total
Variance
Cumulative %
1
3.490
43.619
43.619
3.490
43.619
43.619
2.547
31.832
31.832
2
1.044
13.054
56.673
1.044
13.054
56.673
1.694
21.179
53.011
3
1.029
12.859
69.532
1.029
12.859
69.532
1.322
16.520
69.532
4
.615
7.693
77.225
5
.566
7.077
84.302
6
.469
5.859
90.160
7
.450
5.626
95.786
8
.337
4.214
100.000
dimension0
Extraction Method: Principal Component Analysis.
Universitas Sumatera Utara
Component Matrix
a
Component
1
2
3
ITEM2
.656
-.011
.546
ITEM5
.375
.830
.088
ITEM8
.731
-.169
-.022
ITEM11
.603
-.095
.616
ITEM14
.724
-.039
-.454
ITEM20
.739
-.304
-.222
ITEM23
.637
.431
-.275
ITEM26
.738
-.197
-.106
Extraction Method: Principal Component Analysis.
a. 3 components extracted.
Rotated Component Matrix
a
Component
1
2
3
ITEM2
.230
.805
.168
ITEM5
-.022
.173
.898
ITEM8
.640
.381
.090
ITEM11
.179
.846
.066
ITEM14
.821
-.003
.243
ITEM20
.796
.232
-.019
ITEM23
.505
.048
.640
ITEM26
.699
.317
.072
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 4 iterations.
Component Transformation Matrix
Component
dimension0
1
2
3
1
.785
.520
.337
2
-.326
-.116
.938
3
-.527
.846
-.078
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Universitas Sumatera Utara
3
INTENTION TO QUIT
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of Sphericity
.769
Approx. Chi-Square
271.435
df
45
Sig.
.000
Anti-image Matrices
ITEM3
Anti-image
ITEM6
ITEM9
ITEM12
ITEM15
ITEM18
ITEM21
ITEM24
ITEM27 ITEM30
ITEM3
.627
-.030
-.240
-.014
-.085
.028
-.146
-.004
.020
-.073
Covariance ITEM6
-.030
.625
-.088
-.017
.104
-.089
-.175
-.129
.051
-.083
ITEM9
-.240
-.088
.562
-.176
-.003
-.051
.018
-.034
-.110
.043
ITEM12
-.014
-.017
-.176
.724
-.008
-.158
-.024
.051
.014
-.079
ITEM15
-.085
.104
-.003
-.008
.658
.125
-.146
-.146
-.212
.048
ITEM18
.028
-.089
-.051
-.158
.125
.603
-.017
-.126
.053
-.128
ITEM21
-.146
-.175
.018
-.024
-.146
-.017
.754
-.035
-.029
.126
ITEM24
-.004
-.129
-.034
.051
-.146
-.126
-.035
.518
-.077
-.170
ITEM27
.020
.051
-.110
.014
-.212
.053
-.029
-.077
.649
-.162
ITEM30
-.073
-.083
.043
-.079
.048
-.128
.126
-.170
-.162
.544
a
-.048
-.405
-.020
-.132
.046
-.213
-.007
.031
-.125
Correlation ITEM6
-.048
.814
a
-.148
-.025
.161
-.145
-.255
-.227
.081
-.143
ITEM9
-.405
-.148
a
-.276
-.005
-.087
.028
-.064
-.182
.078
a
-.012
-.240
-.032
.083
.021
-.125
a
.198
-.208
-.251
-.325
.079
a
-.026
-.226
.085
-.223
a
-.056
-.041
.197
-.056
a
-.132
-.320
a
-.273
Anti-image
ITEM3
.785
.780
ITEM12
-.020
-.025
-.276
.809
ITEM15
-.132
.161
-.005
-.012
.620
ITEM18
.046
-.145
-.087
-.240
.198
.790
ITEM21
-.213
-.255
.028
-.032
-.208
-.026
ITEM24
-.007
-.227
-.064
.083
-.251
-.226
.694
.806
ITEM27
.031
.081
-.182
.021
-.325
.085
-.041
-.132
.746
ITEM30
-.125
-.143
.078
-.125
.079
-.223
.197
-.320
-.273
.765
a. Measures of Sampling Adequacy(MSA)
Universitas Sumatera Utara
a
Communalities
Initial
Extraction
ITEM3
1.000
.601
ITEM6
1.000
.535
ITEM9
1.000
.579
ITEM12
1.000
.440
ITEM15
1.000
.728
ITEM18
1.000
.667
ITEM21
1.000
.583
ITEM24
1.000
.661
ITEM27
1.000
.697
ITEM30
1.000
.735
Extraction Method: Principal Component Analysis.
Total Variance Explained
Component
Extraction Sums of Squared
Initial Eigenvalues
Loadings
% of
Total
Variance
Rotation Sums of Squared Loadings
% of
Cumulative %
Total
% of
Variance Cumulative %
Total
Variance
Cumulative %
1
3.537
35.373
35.373
3.537
35.373
35.373
2.583
25.831
25.831
2
1.569
15.688
51.061
1.569
15.688
51.061
1.823
18.228
44.059
3
1.120
11.198
62.259
1.120
11.198
62.259
1.820
18.201
62.259
4
.903
9.029
71.288
5
.675
6.753
78.042
6
.529
5.294
83.336
7
.493
4.932
88.268
8
.472
4.720
92.988
9
.374
3.744
96.732
10
.327
3.268
100.000
dimension0
Extraction Method: Principal Component Analysis.
Universitas Sumatera Utara
Component Matrix
a
Component
1
2
3
ITEM3
.631
.246
.377
ITEM6
.644
-.292
.187
ITEM9
.704
.038
.286
ITEM12
.548
-.307
.214
ITEM15
.336
.768
-.158
ITEM18
.588
-.563
-.064
ITEM21
.421
.384
.508
ITEM24
.741
.016
-.333
ITEM27
.535
.457
-.450
ITEM30
.675
-.254
-.463
Extraction Method: Principal Component Analysis.
a. 3 components extracted.
Rotated Component Matrix
a
Component
1
2
3
ITEM3
.239
.708
.208
ITEM6
.639
.356
.004
ITEM9
.445
.593
.172
ITEM12
.576
.322
-.068
ITEM15
-.261
.357
.730
ITEM18
.815
.029
-.030
ITEM21
-.024
.755
.111
ITEM24
.566
.131
.568
ITEM27
.131
.112
.817
ITEM30
.719
-.109
.454
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 10 iterations.
Universitas Sumatera Utara
Component Transformation Matrix
Component
dimension0
1
2
3
1
.720
.511
.468
2
-.681
.397
.615
3
-.129
.762
-.634
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Universitas Sumatera Utara
C. RELIABILITAS SKALA INTENSI TURNOVER KARYAWAN
Reliability Statistics
Cronbach's Alpha
N of Items
.888
15
Item-Total Statistics
Scale Mean if Item
Scale Variance if
Corrected Item-Total
Cronbach's Alpha if Item
Deleted
Item Deleted
Correlation
Deleted
ITEM1
38.63
70.781
.494
.884
ITEM6
39.24
71.356
.458
.885
ITEM7
38.81
67.792
.598
.879
ITEM8
38.85
68.775
.596
.879
ITEM12
39.03
73.080
.347
.890
ITEM13
39.23
71.957
.432
.886
ITEM14
39.25
67.785
.700
.875
ITEM18
38.70
73.364
.352
.889
ITEM19
39.07
69.884
.581
.880
ITEM20
39.00
68.525
.637
.878
ITEM23
39.47
68.938
.669
.877
ITEM24
39.44
68.107
.679
.876
ITEM25
39.24
67.922
.665
.877
ITEM26
39.30
69.020
.602
.879
ITEM30
39.20
69.434
.504
.884
Scale Statistics
Mean
41.89
Variance
79.473
Std. Deviation
8.915
N of Items
15
Universitas Sumatera Utara
A. UJI BEDA DAYA ITEM SKALA BUDAYA ORGANISASI
1
PUTARAN I
Reliability Statistics
Cronbach's Alpha
N of Items
.843
24
Item-Total Statistics
Scale Mean if
Scale Variance if
Corrected Item-Total
Cronbach's Alpha if
Item Deleted
Item Deleted
Correlation
Item Deleted
ITEM1
80.2700
110.543
.347
.839
ITEM2
80.4800
106.959
.498
.834
ITEM3
79.8300
107.961
.598
.832
ITEM4
80.4400
106.006
.564
.831
ITEM5
80.2700
107.492
.557
.832
ITEM6
80.2900
106.531
.610
.830
ITEM7
80.4100
112.669
.273
.842
ITEM8
81.2300
119.856
-.107
.859
ITEM9
80.4600
109.988
.340
.840
ITEM10
80.1200
106.450
.534
.832
ITEM11
80.3800
103.491
.680
.826
ITEM12
81.0100
107.404
.389
.838
ITEM13
79.8600
113.152
.298
.841
ITEM14
81.3100
114.499
.114
.850
ITEM15
80.2600
107.346
.495
.834
ITEM16
80.2500
109.826
.448
.836
ITEM17
79.9900
108.192
.485
.834
ITEM18
80.0700
107.601
.524
.833
ITEM19
80.1800
107.038
.540
.832
ITEM20
80.5200
107.989
.520
.833
ITEM21
80.1800
107.826
.467
.835
ITEM22
81.0400
120.645
-.142
.858
ITEM23
80.2100
110.208
.364
.839
ITEM24
80.6400
109.485
.386
.838
Universitas Sumatera Utara
2
PUTARAN II
Reliability Statistics
Cronbach's Alpha
N of Items
.883
19
Item-Total Statistics
Scale Mean if
Scale Variance if
Corrected Item-Total
Cronbach's Alpha if
Item Deleted
Item Deleted
Correlation
Item Deleted
ITEM1
64.6200
101.127
.313
.883
ITEM2
64.8300
96.244
.542
.876
ITEM3
64.1800
97.604
.628
.874
ITEM4
64.7900
96.127
.566
.875
ITEM5
64.6200
97.491
.563
.875
ITEM6
64.6400
97.263
.574
.875
ITEM9
64.8100
98.398
.418
.880
ITEM10
64.4700
96.555
.535
.876
ITEM11
64.7300
93.189
.712
.870
ITEM12
65.3600
98.576
.340
.884
ITEM15
64.6100
96.644
.538
.876
ITEM16
64.6000
99.859
.445
.879
ITEM17
64.3400
97.742
.514
.877
ITEM18
64.4200
97.478
.536
.876
ITEM19
64.5300
96.797
.560
.875
ITEM20
64.8700
98.054
.520
.877
ITEM21
64.5300
96.777
.527
.876
ITEM23
64.5600
100.107
.367
.882
ITEM24
64.9900
99.141
.404
.881
Universitas Sumatera Utara
B. ANALISI FAKTOR SKALA BUDAYA ORGANISASI
1. BUDAYA BIOKRASI
a. PUTARAN 1
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of Sphericity
.642
Approx. Chi-Square
94.558
df
10
Sig.
.000
Anti-image Matrices
ITEM1
Anti-image Covariance
Anti-image Correlation
ITEM4
ITEM10
ITEM16
ITEM19
ITEM1
.636
-.140
-.186
-.258
.207
ITEM4
-.140
.726
-.202
.000
-.188
ITEM10
-.186
-.202
.685
-.085
-.073
ITEM16
-.258
.000
-.085
.683
-.233
ITEM19
.207
-.188
-.073
-.233
.786
a
-.205
-.282
-.391
.293
ITEM4
-.205
.717
a
-.287
-.001
-.249
ITEM10
-.282
-.287
a
-.124
-.100
a
-.318
ITEM1
.587
.749
ITEM16
-.391
-.001
-.124
.652
ITEM19
.293
-.249
-.100
-.318
.459
a
a. Measures of Sampling Adequacy(MSA)
Communalities
Initial
Extraction
ITEM1
1.000
.792
ITEM4
1.000
.519
ITEM10
1.000
.593
ITEM16
1.000
.522
ITEM19
1.000
.897
Extraction Method: Principal Component Analysis.
Universitas Sumatera Utara
Total Variance Explained
Component
Initial Eigenvalues
Total
dimension0
% of Variance
Extraction Sums of Squared Loadings
Cumulative %
Total
% of Variance
Cumulative %
1
2.271
45.419
45.419
2.271
45.419
45.419
2
1.051
21.026
66.445
1.051
21.026
66.445
3
.753
15.069
81.514
4
.532
10.645
92.159
5
.392
7.841
100.000
Extraction Method: Principal Component Analysis.
Component Matrix
a
Component
1
2
ITEM1
.694
-.557
ITEM4
.707
.137
ITEM10
.760
-.124
ITEM16
.722
.024
ITEM19
.436
.841
Extraction Method: Principal Component Analysis.
a. 2 components extracted.
Rotated Component Matrix
a
Component
1
2
ITEM1
.854
-.249
ITEM4
.601
.397
ITEM10
.750
.176
ITEM16
.658
.298
ITEM19
.082
.943
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 3 iterations.
Component Transformation Matrix
Component
1
2
1
.924
2
-.382
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
dimension0
.382
.924
Universitas Sumatera Utara
b. PUTARAN II
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of Sphericity
.730
Approx. Chi-Square
71.573
df
6
Sig.
.000
Anti-image Matrices
ITEM1
Anti-image Covariance
Anti-image Correlation
ITEM4
ITEM10
ITEM16
ITEM1
.696
-.105
-.184
-.239
ITEM4
-.105
.774
-.237
-.067
ITEM10
-.184
-.237
.692
-.120
ITEM16
-.239
-.067
-.120
.760
ITEM1
.720
a
-.143
-.266
-.328
ITEM4
-.143
.745
a
-.323
-.087
ITEM10
-.266
-.323
.719
a
-.165
ITEM16
-.328
-.087
-.165
.742
a
a. Measures of Sampling Adequacy(MSA)
Communalities
Initial
Extraction
ITEM1
1.000
.590
ITEM4
1.000
.475
ITEM10
1.000
.598
ITEM16
1.000
.496
Extraction Method: Principal Component Analysis.
Universitas Sumatera Utara
Total Variance Explained
Component
Initial Eigenvalues
Total
% of Variance
Extraction Sums of Squared Loadings
Cumulative %
1
2.159
53.976
53.976
2
.764
19.103
73.079
3
.559
13.986
87.065
4
.517
12.935
100.000
Total
2.159
% of Variance
Cumulative %
53.976
dimension0
Extraction Method: Principal Component Analysis.
Component Matrix
a
Component
1
ITEM1
.768
ITEM4
.689
ITEM10
.773
ITEM16
.705
Extraction Method: Principal Component Analysis.
a. 1 components extracted.
Universitas Sumatera Utara
53.976
2. BUDAYA INOVATIF
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of Sphericity
.775
Approx. Chi-Square
119.248
df
15
Sig.
.000
Anti-image Matrices
ITEM2
ITEM5
ITEM11
ITEM17
ITEM20
ITEM23
Anti-image
ITEM2
.667
-.078
-.198
-.166
-.094
.024
Covariance
ITEM5
-.078
.795
-.049
-.124
-.005
-.229
ITEM11
-.198
-.049
.664
-.118
-.162
.019
ITEM17
-.166
-.124
-.118
.679
-.140
.019
ITEM20
-.094
-.005
-.162
-.140
.668
-.201
ITEM23
.024
-.229
.019
.019
-.201
.814
a
-.107
-.297
-.246
-.141
.032
-.107
a
-.067
-.168
-.007
-.285
a
-.176
-.243
.026
a
-.208
.025
a
-.273
Anti-image
Correlation
ITEM2
ITEM5
.791
.770
ITEM11
-.297
-.067
.790
ITEM17
-.246
-.168
-.176
.807
ITEM20
-.141
-.007
-.243
-.208
.779
ITEM23
.032
-.285
.026
.025
-.273
.651
a
a. Measures of Sampling Adequacy(MSA)
Communalities
Initial
Extraction
ITEM2
1.000
.633
ITEM5
1.000
.535
ITEM11
1.000
.627
ITEM17
1.000
.578
ITEM20
1.000
.534
ITEM23
1.000
.789
Extraction Method: Principal Component Analysis.
Universitas Sumatera Utara
Total Variance Explained
Component
Initial Eigenvalues
Total
dimension0
% of Variance
Extraction Sums of Squared Loadings
Cumulative %
Total
% of Variance
Cumulative %
1
2.646
44.108
44.108
2.646
44.108
44.108
2
1.050
17.498
61.607
1.050
17.498
61.607
3
.735
12.258
73.865
4
.572
9.529
83.393
5
.521
8.684
92.077
6
.475
7.923
100.000
Extraction Method: Principal Component Analysis.
Component Matrix
a
Component
1
2
ITEM2
.720
-.339
ITEM5
.578
.448
ITEM11
.722
-.325
ITEM17
.725
-.227
ITEM20
.730
.046
ITEM23
.463
.758
Extraction Method: Principal Component Analysis.
a. 2 components extracted.
Rotated Component Matrix
a
Component
1
2
ITEM2
.792
.075
ITEM5
.269
.680
ITEM11
.787
.089
ITEM17
.740
.175
ITEM20
.604
.412
ITEM23
.011
.888
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 3 iterations.
Universitas Sumatera Utara
Component Transformation Matrix
Component
1
2
1
.860
.510
2
-.510
.860
dimension0
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Universitas Sumatera Utara
3. BUDAYA SUPORTIF
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of Sphericity
.767
Approx. Chi-Square
180.277
df
28
Sig.
.000
Anti-image Matrices
ITEM3
ITEM6
ITEM9
ITEM12
ITEM15
ITEM18
ITEM21 ITEM24
Anti-image
ITEM3
.654
-.220
-.072
-.006
-.070
-.063
-.097
-.085
Covariance
ITEM6
-.220
.700
.047
-.079
-.170
.005
-.093
.081
ITEM9
-.072
.047
.790
-.077
-.196
.019
.006
-.113
ITEM12
-.006
-.079
-.077
.695
.052
-.066
.069
-.286
ITEM15
-.070
-.170
-.196
.052
.639
-.133
-.123
.032
ITEM18
-.063
.005
.019
-.066
-.133
.678
-.150
-.139
ITEM21
-.097
-.093
.006
.069
-.123
-.150
.683
-.106
ITEM24
-.085
.081
-.113
-.286
.032
-.139
-.106
.585
a
-.325
-.100
-.008
-.109
-.095
-.146
-.137
ITEM6
-.325
a
.063
-.114
-.254
.008
-.134
.126
ITEM9
-.100
a
-.103
-.276
.027
.009
-.167
-.103
a
.078
-.096
.101
-.448
a
-.202
-.186
.052
a
-.221
-.220
a
-.167
Anti-image
Correlation
ITEM3
ITEM12
.827
-.008
.726
.063
-.114
.781
.663
ITEM15
-.109
-.254
-.276
.078
.771
ITEM18
-.095
.008
.027
-.096
-.202
.833
ITEM21
-.146
-.134
.009
.101
-.186
-.221
.826
ITEM24
-.137
.126
-.167
-.448
.052
-.220
-.167
.696
a
a. Measures of Sampling Adequacy(MSA)
Universitas Sumatera Utara
Communalities
Initial
Extraction
ITEM3
1.000
.542
ITEM6
1.000
.554
ITEM9
1.000
.314
ITEM12
1.000
.667
ITEM15
1.000
.595
ITEM18
1.000
.473
ITEM21
1.000
.500
ITEM24
1.000
.740
Extraction Method: Principal Component Analysis.
Total Variance Explained
Component
Initial Eigenvalues
Total
dimension0
Extraction Sums of Squared Loadings
% of
Cumulative
Variance
%
Rotation Sums of Squared Loadings
% of
Total
Variance
% of
Cumulative %
Total
Variance
Cumulative %
1
3.069
38.357
38.357
3.069
38.357
38.357
2.403
30.038
30.038
2
1.319
16.485
54.842
1.319
16.485
54.842
1.984
24.804
54.842
3
.859
10.741
65.584
4
.794
9.922
75.505
5
.587
7.338
82.844
6
.536
6.705
89.549
7
.442
5.522
95.072
8
.394
4.928
100.000
Extraction Method: Principal Component Analysis.
Component Matrix
a
Component
1
ITEM3
ITEM6
ITEM9
ITEM12
ITEM15
ITEM18
ITEM21
ITEM24
2
.701
.563
.530
.482
.665
.681
.667
.629
-.225
-.487
.183
.660
-.391
.095
-.235
.587
Extraction Method: Principal Component Analysis.
a. 2 components extracted.
Universitas Sumatera Utara
Rotated Component Matrix
a
Component
1
2
ITEM3
.691
.255
ITEM6
.743
-.037
ITEM9
.304
.471
ITEM12
-.028
.816
ITEM15
.765
.103
ITEM18
.478
.495
ITEM21
.670
.227
ITEM24
.133
.850
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 3 iterations.
Component Transformation Matrix
Component
1
2
1
.787
.617
2
-.617
.787
dimension0
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Universitas Sumatera Utara
C. RELIABILITAS SKALA BUDAYA ORGANISASI
Reliability Statistics
Cronbach's Alpha
N of Items
.856
12
Item-Total Statistics
Scale Mean if Item Scale Variance if Corrected Item-Total
Deleted
Item Deleted
Correlation
Cronbach's Alpha if
Item Deleted
ITEM1
40.16
43.813
.400
.854
ITEM2
40.37
42.094
.508
.847
ITEM3
39.72
42.466
.649
.838
ITEM4
40.33
41.637
.565
.842
ITEM6
40.18
41.927
.620
.839
ITEM10
40.01
41.687
.552
.843
ITEM11
40.27
40.563
.641
.837
ITEM15
40.15
41.947
.538
.844
ITEM16
40.14
43.677
.486
.848
ITEM17
39.88
42.915
.494
.847
ITEM20
40.41
43.638
.454
.850
ITEM21
40.07
42.611
.479
.849
Scale Statistics
Mean
43.79
Variance
49.824
Std. Deviation
7.059
N of Items
12
Universitas Sumatera Utara
A. DAYA
BEDA
ITEM
GAYA
KEPEMIMPINAN
TRANSFORMASIONAL
1. PUTARAN I
Reliability Statistics
Cronbach's
N of Items
Alpha
.927
40
ITEM1
Item-Total Statistics
Corrected
Scale Mean if Scale Variance Item-Total
Item Deleted if Item Deleted Correlation
132.6061
401.751
.712
Cronbach's
Alpha if Item
Deleted
.923
ITEM2
132.5455
407.883
.614
.924
ITEM3
132.7172
405.776
.645
.924
ITEM4
132.9495
412.130
.500
.925
ITEM5
133.2020
407.204
.507
.925
ITEM6
133.2222
419.420
.291
.927
ITEM7
133.1515
403.171
.591
.924
ITEM8
132.9192
412.157
.471
.925
ITEM9
133.3131
419.605
.267
.928
ITEM10
132.8990
416.235
.382
.926
ITEM11
133.1515
415.069
.384
.926
ITEM12
132.8384
412.729
.444
.926
ITEM13
133.0404
408.284
.468
.926
ITEM14
133.0808
416.789
.297
.927
ITEM15
133.0606
409.833
.467
.926
ITEM16
133.5758
415.635
.327
.927
ITEM17
132.9596
412.549
.477
.925
ITEM18
132.9293
406.454
.638
.924
ITEM19
133.0303
411.968
.520
.925
ITEM20
132.5960
409.896
.607
.924
ITEM21
132.7172
411.572
.483
.925
Universitas Sumatera Utara
ITEM22
133.1616
408.688
.483
.925
ITEM23
133.1111
415.345
.411
.926
ITEM24
132.7374
404.012
.658
.924
ITEM25
132.7980
419.020
.309
.927
ITEM26
133.3333
415.816
.376
.926
ITEM27
132.9798
405.163
.673
.924
ITEM28
133.1414
401.735
.730
.923
ITEM29
133.0606
420.792
.247
.928
ITEM30
132.9697
413.417
.472
.925
ITEM31
133.4040
416.896
.301
.927
ITEM32
133.0404
411.202
.471
.925
ITEM33
132.6869
410.013
.606
.924
ITEM34
132.7576
404.573
.670
.924
ITEM35
132.8182
408.314
.580
.924
ITEM36
132.9394
399.935
.724
.923
ITEM37
133.2020
409.000
.518
.925
ITEM38
132.8586
413.470
.461
.926
ITEM39
134.2020
429.122
.044
.930
ITEM40
133.6263
419.685
.288
.927
Universitas Sumatera Utara
2. PUTARAN KE II
Reliability Statistics
Cronbach's
N of Items
Alpha
.932
ITEM1
ITEM2
ITEM3
ITEM4
ITEM5
ITEM7
ITEM8
ITEM10
ITEM11
ITEM12
ITEM13
ITEM15
ITEM16
ITEM17
ITEM18
ITEM19
ITEM20
ITEM21
ITEM22
ITEM23
ITEM24
ITEM25
ITEM26
ITEM27
ITEM28
ITEM30
ITEM31
ITEM32
ITEM33
ITEM34
ITEM35
ITEM36
ITEM37
ITEM38
34
Item-Total Statistics
Scale
Corrected ItemScale Mean if Variance if
Cronbach's Alpha
Total
Item Deleted
Item
if Item Deleted
Correlation
Deleted
114.4444
339.739
.717
.928
114.3838
344.627
.642
.929
114.5556
343.025
.662
.929
114.7879
348.189
.538
.930
115.0404
346.223
.476
.931
114.9899
341.500
.584
.930
114.7576
349.206
.479
.931
114.7374
352.685
.397
.932
114.9899
351.153
.411
.932
114.6768
348.833
.476
.931
114.8788
346.761
.448
.931
114.8990
348.561
.437
.931
115.4141
353.653
.303
.933
114.7980
349.428
.489
.931
114.7677
343.548
.658
.929
114.8687
348.830
.535
.930
114.4343
346.758
.628
.929
114.5556
348.984
.482
.931
115.0000
347.000
.466
.931
114.9495
353.048
.394
.932
114.5758
342.492
.645
.929
114.6364
356.948
.278
.933
115.1717
350.776
.433
.931
114.8182
341.926
.706
.928
114.9798
339.755
.734
.928
114.8081
351.687
.442
.931
115.2424
355.737
.256
.934
114.8788
349.536
.446
.931
114.5253
346.946
.625
.929
114.5960
342.060
.683
.929
114.6566
344.432
.624
.929
114.7778
338.032
.730
.928
115.0404
346.733
.514
.930
114.6970
350.907
.455
.931
Universitas Sumatera Utara
3. PUTARAN III
Reliability Statistics
Cronbach's
N of Items
Alpha
.934
ITEM1
ITEM2
ITEM3
ITEM4
ITEM5
ITEM7
ITEM8
ITEM10
ITEM11
ITEM12
ITEM13
ITEM15
ITEM16
ITEM17
ITEM18
ITEM19
ITEM20
ITEM21
ITEM22
ITEM23
ITEM24
ITEM26
ITEM27
ITEM28
ITEM30
ITEM32
ITEM33
ITEM34
ITEM35
ITEM36
ITEM37
ITEM38
32
Item-Total Statistics
Scale
Corrected Item- Cronbach's
Scale Mean if
Variance if
Total
Alpha if Item
Item Deleted
Item Deleted
Correlation
Deleted
107.5600
318.208
.717
.930
107.5000
322.838
.644
.931
107.6900
320.863
.666
.931
107.9200
326.337
.531
.932
108.1700
324.122
.481
.933
108.1200
319.379
.593
.932
107.8700
327.670
.468
.933
107.8600
330.142
.412
.934
108.1200
328.612
.424
.934
107.7900
326.834
.479
.933
108.0100
324.757
.449
.934
108.0300
326.938
.427
.934
108.5300
332.898
.271
.936
107.9100
327.456
.491
.933
107.8800
321.763
.661
.931
107.9800
327.535
.516
.933
107.5500
324.795
.634
.931
107.6900
326.519
.491
.933
108.1200
325.400
.460
.933
108.0600
331.936
.365
.934
107.7000
320.879
.643
.931
108.3000
327.667
.463
.933
107.9400
320.097
.712
.930
108.1100
317.917
.737
.930
107.9400
329.411
.445
.933
108.0000
327.313
.455
.933
107.6400
324.899
.633
.931
107.7300
319.957
.687
.931
107.7800
322.497
.629
.931
107.9100
316.386
.727
.930
108.1700
324.486
.523
.932
107.8200
328.695
.462
.933
Universitas Sumatera Utara
4. PUTARAN IV
Reliability Statistics
Cronbach's Alpha N of Items
.936
ITEM1
ITEM2
ITEM3
ITEM4
ITEM5
ITEM7
ITEM8
ITEM10
ITEM11
ITEM12
ITEM13
ITEM15
ITEM17
ITEM18
ITEM19
ITEM20
ITEM21
ITEM22
ITEM23
ITEM24
ITEM26
ITEM27
ITEM28
ITEM30
ITEM32
ITEM33
ITEM34
ITEM35
ITEM36
ITEM37
ITEM38
31
Item-Total Statistics
Scale
Corrected ItemScale Mean if Variance if
Total
Item Deleted Item Deleted
Correlation
104.6900
306.054
.721
104.6300
310.437
.653
104.8200
308.371
.679
105.0500
314.189
.530
105.3000
312.475
.468
105.2500
307.745
.583
105.0000
315.919
.455
104.9900
317.242
.432
105.2500
316.331
.425
104.9200
314.519
.482
105.1400
312.768
.445
105.1600
315.590
.405
105.0400
314.948
.501
105.0100
309.263
.674
105.1100
315.089
.524
104.6800
312.361
.644
104.8200
314.695
.481
105.2500
313.280
.459
105.1900
320.499
.340
104.8300
309.173
.632
105.4300
315.318
.467
105.0700
307.722
.722
105.2400
305.962
.735
105.0700
316.894
.454
105.1300
315.104
.455
104.7700
312.442
.644
104.8600
307.637
.695
104.9100
310.345
.631
105.0400
304.301
.730
105.3000
312.495
.518
104.9500
316.371
.465
Cronbach's
Alpha if Item
Deleted
.932
.932
.932
.934
.935
.933
.935
.935
.935
.934
.935
.935
.934
.932
.934
.933
.934
.935
.936
.933
.934
.932
.931
.935
.935
.933
.932
.933
.931
.934
.934
Universitas Sumatera Utara
B. ANALISIS
FAKTOR
TRANSFORMASIONAL
1
SKALA
GAYA
KEPEMIMPINAN
ASPEK INDIVIDUALIZED INFLUENCE
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of
Approx. Chi-Square
Sphericity
df
.744
168.722
21
Sig.
.000
Anti-image Matrices
ITEM1
Anti-image
ITEM5
ITEM13
ITEM17
ITEM21
ITEM33
ITEM37
ITEM1
.565
-.116
.002
-.173
-.016
-.274
-.005
Covariance ITEM5
-.116
.621
-.232
.087
-.050
-.037
-.118
ITEM13
.002
-.232
.576
-.146
-.200
.081
-.141
ITEM17
-.173
.087
-.146
.795
.012
-.085
.024
ITEM21
-.016
-.050
-.200
.012
.716
-.123
-.054
ITEM33
-.274
-.037
.081
-.085
-.123
.589
-.104
ITEM37
-.005
-.118
-.141
.024
-.054
-.104
.752
ITEM1
.716
a
-.196
.004
-.258
-.025
-.474
-.008
-.196
.766
a
-.388
.124
-.075
-.061
-.172
.004
-.388
a
-.215
-.312
.139
-.214
a
.016
-.124
.032
a
-.189
-.074
a
-.157
Anti-image
Correlation ITEM5
ITEM13
.692
ITEM17
-.258
.124
-.215
ITEM21
-.025
-.075
-.312
.722
.016
.817
ITEM33
-.474
-.061
.139
-.124
-.189
.700
ITEM37
-.008
-.172
-.214
.032
-.074
-.157
a. Measures of Sampling Adequacy(MSA)
Communalities
Initial
Extraction
ITEM1
1.000
.725
ITEM5
1.000
.611
ITEM13
1.000
.675
ITEM17
1.000
.484
ITEM21
1.000
.482
ITEM33
1.000
.675
ITEM37
1.000
.481
Extraction Method: Principal Component Analysis.
Universitas Sumatera Utara
.846
a
Total Variance Explained
Component
Initial Eigenvalues
Total
dimension0
% of Variance
Extraction Sums of Squared Loadings
Cumulative %
Total
% of Variance
Cumulative %
Rotation Sums of Squared Loadings
Total
% of Variance
Cumulative %
1
2.924
41.775
41.775 2.924
41.775
41.775
2.249
32.126
32.126
2
1.209
17.269
59.043 1.209
17.269
59.043
1.884
26.918
59.043
3
.801
11.445
70.488
4
.688
9.826
80.314
5
.628
8.975
89.289
6
.381
5.436
94.724
7
.369
5.276
100.000
Extraction Method: Principal Component Analysis.
Component Matrix
a
Component
1
2
ITEM1
.694
.493
ITEM5
.699
-.349
ITEM13
.688
-.449
ITEM17
.484
.499
ITEM21
.650
-.243
ITEM33
.663
.485
ITEM37
.618
-.315
Extraction Method: Principal Component Analysis.
a. 2 components extracted.
Rotated Component Matrix
a
Component
1
2
ITEM1
.231
.820
ITEM5
.764
.167
ITEM13
.817
.083
ITEM17
.064
.692
ITEM21
.659
.218
ITEM33
.212
.794
ITEM37
.679
.142
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 3 iterations.
Universitas Sumatera Utara
Component Transformation Matrix
Component
1
2
1
.779
.627
2
-.627
.779
dimension0
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Universitas Sumatera Utara
2
ASPEK INSPIRATIONAL MOTIVATION
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of
Approx. Chi-Square
Sphericity
df
.787
268.289
28
Sig.
.000
Anti-image Matrices
ITEM2 ITEM10
ITEM18
ITEM22
ITEM26
ITEM30
ITEM34
ITEM38
Anti-image
ITEM2
.498
-.103
-.194
.004
-.013
.081
-.102
-.033
Covariance
ITEM10
-.103
.570
-.123
-.007
-.165
-.093
-.012
.185
ITEM18
-.194
-.123
.413
.046
-.048
-.056
-.097
-.080
ITEM22
.004
-.007
.046
.709
.063
-.246
-.110
-.056
ITEM26
-.013
-.165
-.048
.063
.632
.065
-.135
-.163
ITEM30
.081
-.093
-.056
-.246
.065
.575
-.121
-.173
ITEM34
-.102
-.012
-.097
-.110
-.135
-.121
.493
-.014
ITEM38
-.033
.185
-.080
-.056
-.163
-.173
-.014
.711
a
-.194
-.428
.006
-.023
.151
-.206
-.055
ITEM10
-.194
.778
a
-.254
-.010
-.275
-.163
-.023
.290
ITEM18
-.428
-.254
a
.084
-.094
-.115
-.215
-.147
.084
a
.094
-.385
-.187
-.079
a
.107
-.241
-.243
a
-.227
-.270
a
-.024
Anti-image
Correlation
ITEM2
ITEM22
.808
.006
-.010
.817
.700
ITEM26
-.023
-.275
-.094
.094
ITEM30
.151
-.163
-.115
-.385
.808
.107
.714
ITEM34
-.206
-.023
-.215
-.187
-.241
-.227
.859
ITEM38
-.055
.290
-.147
-.079
-.243
-.270
-.024
a. Measures of Sampling Adequacy(MSA)
Communalities
Initial
Extraction
ITEM2
1.000
.665
ITEM10
1.000
.586
ITEM18
1.000
.731
ITEM22
1.000
.651
ITEM26
1.000
.514
ITEM30
1.000
.702
ITEM34
1.000
.657
ITEM38
1.000
.422
Extraction Method: Principal Component Analysis.
Universitas Sumatera Utara
.692
a
Total Variance Explained
Component
Initial Eigenvalues
Total
% of Variance
Extraction Sums of Squared Loadings
Cumulative %
Total
% of Variance
Cumulative %
Rotation Sums of Squared Loadings
Total
% of Variance
Cumulative %
1
3.489
43.608
43.608
3.489
43.608
43.608
2.919
36.488
36.488
2
1.439
17.985
61.593
1.439
17.985
61.593
2.008
25.105
61.593
3
.868
10.848
72.441
4
.619
7.734
80.174
5
.514
6.423
86.597
6
.450
5.626
92.224
7
.321
4.012
96.235
8
.301
3.765
100.000
dimension0
Extraction Method: Principal Component Analysis.
Component Matrix
a
Component
1
2
ITEM2
.730
-.364
ITEM10
.669
-.372
ITEM18
.822
-.237
ITEM22
.398
.702
ITEM26
.659
-.281
ITEM30
.588
.596
ITEM34
.808
.068
ITEM38
.492
.424
Extraction Method: Principal Component Analysis.
a. 2 components extracted.
Universitas Sumatera Utara
Rotated Component Matrix
a
Component
1
2
ITEM2
.812
.076
ITEM10
.764
.037
ITEM18
.823
.232
ITEM22
-.032
.806
ITEM26
.708
.109
ITEM30
.186
.817
ITEM34
.650
.484
ITEM38
.194
.620
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 3 iterations.
Component Transformation Matrix
Component
1
2
1
.850
.527
2
-.527
.850
dimension0
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Universitas Sumatera Utara
3
ASPEK INTELLECTUAL STIMULATION
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of Sphericity
.763
Approx. Chi-Square
240.454
df
28
Sig.
.000
Anti-image Matrices
ITEM3
Anti-image
Covariance
Anti-image
ITEM7
ITEM11
ITEM15
ITEM19
ITEM23
ITEM27
ITEM35
ITEM3
.555
-.091
.016
-.101
-.094
.065
-.152
-.081
ITEM7
-.091
.535
-.259
-.088
.037
-.210
-.045
.013
ITEM11
.016
-.259
.662
.055
-.103
-.005
-.021
-.044
ITEM15
-.101
-.088
.055
.748
.079
-.183
.026
-.145
ITEM19
-.094
.037
-.103
.079
.581
-.026
-.219
.066
ITEM23
.065
-.210
-.005
-.183
-.026
.721
.003
-.050
ITEM27
-.152
-.045
-.021
.026
-.219
.003
.401
-.187
ITEM35
-.081
.013
-.044
-.145
.066
-.050
-.187
.616
ITEM3
.836
a
-.167
.026
-.156
-.165
.103
-.323
-.139
-.167
.740
a
-.435
-.140
.067
-.338
-.097
.023
.026
-.435
a
.078
-.166
-.008
-.041
-.069
a
.119
-.249
.048
-.213
a
-.040
-.454
.109
-.040
a
.005
-.075
a
-.376
Correlation ITEM7
ITEM11
.762
ITEM15
-.156
-.140
.078
ITEM19
-.165
.067
-.166
ITEM23
.103
-.338
-.008
.727
.119
-.249
.735
.734
ITEM27
-.323
-.097
-.041
.048
-.454
.005
.746
ITEM35
-.139
.023
-.069
-.213
.109
-.075
-.376
.798
a. Measures of Sampling Adequacy(MSA)
Universitas Sumatera Utara
a
Communalities
Initial
Extraction
ITEM3
1.000
.609
ITEM7
1.000
.620
ITEM11
1.000
.373
ITEM15
1.000
.535
ITEM19
1.000
.664
ITEM23
1.000
.619
ITEM27
1.000
.780
ITEM35
1.000
.463
Extraction Method: Principal Component Analysis.
Total Variance Explained
Component
Extraction Sums of Squared
Initial Eigenvalues
Loadings
% of
Total
Variance
Rotation Sums of Squared Loadings
% of
Cumulative %
Total
Variance
% of
Cumulative %
Total
Variance
Cumulative %
1
3.307
41.340
41.340
3.307
41.340
41.340
2.673
33.417
33.417
2
1.357
16.961
58.301
1.357
16.961
58.301
1.991
24.884
58.301
3
.993
12.410
70.711
4
.645
8.063
78.774
5
.572
7.147
85.921
6
.487
6.083
92.005
7
.358
4.474
96.478
8
.282
3.522
100.000
dimension0
Extraction Method: Principal Component Analysis.
Universitas Sumatera Utara
Component Matrix
a
Component
1
2
ITEM3
.735
-.262
ITEM7
.703
.356
ITEM11
.609
.047
ITEM15
.448
.578
ITEM19
.609
-.541
ITEM23
.486
.619
ITEM27
.795
-.386
ITEM35
.680
-.015
Extraction Method: Principal Component Analysis.
a. 2 components extracted.
Rotated Component Matrix
a
Component
1
2
ITEM3
.753
.204
ITEM7
.374
.693
ITEM11
.473
.386
ITEM15
.039
.731
ITEM19
.809
-.097
ITEM23
.046
.785
ITEM27
.873
.136
ITEM35
.568
.376
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 3 iterations.
Component Transformation Matrix
Component
1
2
1
.822
.570
2
-.570
.822
dimension0
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Universitas Sumatera Utara
4
ASPEK INDIVIDUALIZED CONSIDERATION
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of Sphericity
.830
Approx. Chi-Square
246.251
df
28
Sig.
.000
Anti-image Matrices
ITEM4
ITEM8
ITEM12
ITEM20
ITEM24
ITEM28
ITEM32
ITEM36
Anti-image
ITEM4
.659
-.006
-.097
-.111
.083
-.158
.101
-.105
Covariance
ITEM8
-.006
.660
.109
.016
-.230
-.097
-.022
-.023
ITEM12
-.097
.109
.710
-.122
-.085
-.109
-.023
.003
ITEM20
-.111
.016
-.122
.629
-.145
-.042
-.063
-.044
ITEM24
.083
-.230
-.085
-.145
.504
-.079
-.107
-.036
ITEM28
-.158
-.097
-.109
-.042
-.079
.427
-.033
-.171
ITEM32
.101
-.022
-.023
-.063
-.107
-.033
.766
-.131
ITEM36
-.105
-.023
.003
-.044
-.036
-.171
-.131
.551
a
-.009
-.142
-.172
.145
-.299
.143
-.174
ITEM8
-.009
a
.159
.024
-.399
-.182
-.031
-.037
ITEM12
-.142
a
-.182
-.143
-.198
-.031
.005
-.182
a
-.257
-.082
-.091
-.075
a
-.170
-.172
-.069
a
-.058
-.352
a
-.201
Anti-image
Correlation
ITEM4
ITEM20
.785
-.172
.776
.159
.024
.848
.881
ITEM24
.145
-.399
-.143
-.257
.797
ITEM28
-.299
-.182
-.198
-.082
-.170
.834
ITEM32
.143
-.031
-.031
-.091
-.172
-.058
.858
ITEM36
-.174
-.037
.005
-.075
-.069
-.352
-.201
a. Measures of Sampling Adequacy(MSA)
Universitas Sumatera Utara
.860
a
Communalities
Initial
Extraction
ITEM4
1.000
.679
ITEM8
1.000
.593
ITEM12
1.000
.510
ITEM20
1.000
.514
ITEM24
1.000
.697
ITEM28
1.000
.707
ITEM32
1.000
.472
ITEM36
1.000
.566
Extraction Method: Principal Component Analysis.
Total Variance Explained
Component
Initial Eigenvalues
Extraction Sums of Squared Loadings
% of
Total
Variance
Rotation Sums of Squared Loadin
% of
Cumulative %
Total
Variance
% of
Cumulative %
Total
Variance
Cumulative
1
3.604
45.055
45.055
3.604
45.055
45.055
2.478
30.979
30.9
2
1.134
14.180
59.235
1.134
14.180
59.235
2.260
28.255
59.2
3
.814
10.179
69.414
4
.720
9.005
78.418
5
.562
7.020
85.438
6
.476
5.948
91.386
7
.363
4.533
95.919
8
.326
4.081
100.000
dimension0
Extraction Method: Principal Component Analysis.
Universitas Sumatera Utara
Component Matrix
a
Component
1
2
ITEM4
.573
-.593
ITEM8
.575
.512
ITEM12
.594
-.397
ITEM20
.707
-.117
ITEM24
.743
.380
ITEM28
.832
-.124
ITEM32
.535
.431
ITEM36
.750
-.062
Extraction Method: Principal Component Analysis.
a. 2 components extracted.
Rotated Component Matrix
a
Component
1
2
ITEM4
.823
-.050
ITEM8
.079
.766
ITEM12
.706
.108
ITEM20
.601
.391
ITEM24
.291
.782
ITEM28
.697
.470
ITEM32
.103
.679
ITEM36
.595
.460
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 3 iterations.
Component Transformation Matrix
Component
1
2
1
.738
.675
2
-.675
.738
dimension0
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Universitas Sumatera Utara
C. RELIABILITAS SKALA GAYA KEPEMIMPINAN
TRANSFORMASIONAL
Reliability Statistics
Cronbach's Alpha
N of Items
.914
18
Item-Total Statistics
Scale Mean if Item
Scale Variance if
Corrected Item-Total
Cronbach's Alpha if
Deleted
Item Deleted
Correlation
Item Deleted
ITEM2
59.32
117.594
.704
.907
ITEM3
59.51
116.858
.700
.907
ITEM4
59.74
119.427
.601
.909
ITEM5
59.99
121.343
.398
.916
ITEM10
59.68
121.129
.509
.912
ITEM12
59.61
119.836
.537
.911
ITEM13
59.83
122.506
.337
.918
ITEM18
59.70
116.879
.723
.906
ITEM19
59.80
120.707
.561
.910
ITEM20
59.37
119.730
.647
.909
ITEM21
59.51
122.798
.401
.915
ITEM26
60.12
120.450
.516
.912
ITEM27
59.76
116.103
.763
.905
ITEM28
59.93
115.985
.727
.906
ITEM34
59.55
116.351
.719
.906
ITEM35
59.60
118.384
.636
.909
ITEM36
59.73
115.250
.707
.906
ITEM37
59.99
121.242
.450
.914
Scale Statistics
Mean
63.22
Variance
132.779
Std. Deviation
11.523
N of Items
18
Universitas Sumatera Utara
UJI ASUMSI
A. UJI NORMALITAS
1) Uji Normalitas Budaya Biokrasi Terhadap Intensi Turnover Karyawan
One-Sample Kolmogorov-Smirnov Test
Unstandardized Residual
N
Normal Parameters
206
a,b
Mean
.0000000
Std. Deviation
Most Extreme Differences
8.49670505
Absolute
.058
Positive
.056
Negative
-.058
Kolmogorov-Smirnov Z
.827
Asymp. Sig. (2-tailed)
.501
a. Test distribution is Normal.
b. Calculated from data.
2) Uji Normalitas Budaya Inovatif Terhadap Intensi Turnover Karyawan
One-Sample Kolmogorov-Smirnov Test
Unstandardized Residual
N
Normal Parameters
206
a,b
Mean
Std. Deviation
Most Extreme Differences
.0000000
8.46357288
Absolute
.055
Positive
.046
Negative
-.055
Kolmogorov-Smirnov Z
.793
Asymp. Sig. (2-tailed)
.555
a. Test distribution is Normal.
b. Calculated from data.
Universitas Sumatera Utara
3) Uji Normalitas Budaya Suportif Terhadap Intensi Turnover Karyawan
One-Sample Kolmogorov-Smirnov Test
Unstandardized Residual
N
206
Normal Parameters
a,b
Mean
.0000000
Std. Deviation
Most Extreme Differences
8.43679009
Absolute
.069
Positive
.049
Negative
-.069
Kolmogorov-Smirnov Z
.985
Asymp. Sig. (2-tailed)
.286
a. Test distribution is Normal.
b. Calculated from data.
4) Uji Normalitas Gaya Kepemimpinan Transformasional Terhadap Intensi
Turnover Karyawan
One-Sample Kolmogorov-Smirnov Test
Unstandardized Predicted Value
N
Normal Parameters
206
a,b
Most Extreme Differences
Mean
39.8834951
Std. Deviation
3.85337653
Absolute
.062
Positive
.062
Negative
-.059
Kolmogorov-Smirnov Z
.888
Asymp. Sig. (2-tailed)
.409
a. Test distribution is Normal.
b. Calculated from data.
Universitas Sumatera Utara
5) Uji Normalitas Budaya Organisasi (Biokrasi, Inovatif, Suportif) Dan
Gaya Kepemimpinan Transformasional Terhadap Intensi Turnover
Karyawan
One-Sample Kolmogorov-Smirnov Test
Unstandardized Residual
N
206
Normal Parameters
a,b
Mean
.0000000
Std. Deviation
7.71473627
Most Extreme Differences Absolute
.077
Positive
.050
Negative
-.077
Kolmogorov-Smirnov Z
1.104
Asymp. Sig. (2-tailed)
.174
a. Test distribution is Normal.
b. Calculated from data.
B. UJI LINEARITAS
1. Uji Linearitas Budaya Biokrasi Terhadap Intensi Turnover Karyawan
ANOVA Table
Sum of
Mean
Squares
df
Square
F
Sig.
I.TURNOVE Betwee (Combined)
937.750
12
78.146
1.054
.402
R*
453.435
1
453.435
6.113
.014
484.315
11
44.029
.594
.833
Within Groups
14315.454
193
74.173
Total
15253.204
205
n
Linearity
B.BIOKRASI Groups Deviation from Linearity
2. Uji Linearitas Budaya Inovatif Terhadap Intensi Turnover Karyawan
ANOVA Table
Sum of
Mean
Squares
I.TURNOVER
Between
(Combined)
* B.INOVATIF
Groups
df
Square
F
Sig.
1230.169
13
94.628
1.296
.218
Linearity
568.630
1
568.630
7.786
.006
Deviation from Linearity
661.538
12
55.128
.755
.696
Within Groups
14023.035
192
73.037
Total
15253.204
205
Universitas Sumatera Utara
3. Uji Linearitas Budaya Suportif Terhhadap Intensi Turnover Karyawan
ANOVA Table
Sum of
Mean
Squares
I.TURNOVER *
Between
(Combined)
B.SUPORTIF
Groups
Linearity
df
Square
F
Sig.
3147.946
12
262.329
4.182
.000
661.421
1
661.421
10.545
.001
2486.525
11
226.048
3.604
.000
Within Groups
12105.257
193
62.722
Total
15253.204
205
Deviation from Linearity
4. Uji Linearitas Gaya Kepemimpinan Transforasional Terhadap Intensi
Turnover Karyawan
ANOVA Table
Sum of
Squares
Mean
df
Square
F
Sig.
I.TURNOVER Between Groups
(Combined)
6816.594
42
162.300
3.136
.000
* G.K.T
Linearity
3043.945
1
3043.945
58.811
.000
Deviation from Linearity
3772.649
41
92.016
1.778
.006
8436.610
163
51.758
15253.204
205
Within Groups
Total
C. UJI AUTOKORELASI
b
Model Summary
Model
1
R
.447
R Square
a
Adjusted R Square
.200
Std. Error of the Estimate
.184
Durbin-Watson
7.791
a. Predictors: (Constant), G.K.T, B.BIOKRASI, B.INOVATIF, B.SUPORTIF
b. Dependent Variable: I.TURNOVER
Universitas Sumatera Utara
1.910
D. UJI MULTIKOLINEARITAS
Coefficients
Model
Standardized
Unstandardized Coefficients
B
1
a
(Constant)
Std. Error
65.575
4.268
B.BIOKRASI
-.085
.283
B.INOVATIF
.039
B.SUPORTIF
G.K.T
Coefficients
Beta
Collinearity Statistics
t
Sig.
Tolerance
VIF
15.366
.000
-.024
-.300
.765
.606
1.651
.260
.013
.152
.880
.548
1.826
.065
.321
.019
.201
.841
.428
2.334
-.401
.066
-.453
Universitas Sumatera Utara
A. DAYA BEDA ITEM SKALA INTENSI TURNOVER KARYAWAN
1. PUTARAN I
Reliability Statistics
Cronbach's Alpha
N of Items
.908
30
Item-Total Statistics
Scale Mean if
Scale Variance if Item
Corrected Item-Total
Cronbach's Alpha if Item
Item Deleted
Deleted
Correlation
Deleted
ITEM1
82.2000
205.879
.500
.905
ITEM2
82.1900
203.448
.585
.904
ITEM3
81.8200
204.291
.555
.904
ITEM4
83.1400
219.738
-.017
.914
ITEM5
82.5900
208.143
.408
.907
ITEM6
82.8100
207.368
.445
.906
ITEM7
82.3800
200.622
.609
.903
ITEM8
82.4200
202.973
.581
.904
ITEM9
82.0300
202.454
.578
.904
ITEM10
82.7000
210.374
.323
.908
ITEM11
82.6900
204.863
.531
.905
ITEM12
82.6000
208.970
.386
.907
ITEM13
82.8000
208.465
.415
.906
ITEM14
82.8200
202.553
.629
.903
ITEM15
82.6700
206.728
.470
.906
ITEM16
82.6800
203.836
.558
.904
ITEM17
82.3100
213.246
.223
.910
ITEM18
82.2700
209.795
.377
.907
ITEM19
82.6400
203.970
.599
.904
ITEM20
82.5700
203.338
.589
.904
ITEM21
82.4800
209.363
.366
.907
ITEM22
83.0200
210.101
.372
.907
ITEM23
83.0400
202.402
.683
.902
ITEM24
83.0100
200.879
.696
.902
ITEM25
82.8100
201.832
.635
.903
ITEM26
82.8700
202.559
.617
.903
ITEM27
82.9700
204.736
.592
.904
ITEM28
82.7000
205.687
.480
.905
ITEM29
82.3400
220.126
-.022
.912
ITEM30
82.7700
204.563
.479
.906
Universitas Sumatera Utara
2. PUTARAN II
Reliability Statistics
Cronbach's Alpha
N of Items
.920
27
Item-Total Statistics
Scale Mean if Item
Scale Variance if
Corrected Item-Total
Cronbach's Alpha if Item
Deleted
Item Deleted
Correlation
Deleted
ITEM1
73.6100
198.907
.510
.917
ITEM2
73.6000
196.747
.585
.916
ITEM3
73.2300
197.452
.560
.917
ITEM5
74.0000
201.253
.413
.919
ITEM6
74.2200
199.608
.484
.918
ITEM7
73.7900
193.925
.611
.916
ITEM8
73.8300
196.062
.590
.916
ITEM9
73.4400
195.522
.588
.916
ITEM10
74.1100
204.079
.304
.921
ITEM11
74.1000
198.717
.509
.917
ITEM12
74.0100
202.313
.381
.919
ITEM13
74.2100
201.764
.412
.919
ITEM14
74.2300
195.472
.646
.915
ITEM15
74.0800
200.054
.467
.918
ITEM16
74.0900
197.517
.544
.917
ITEM18
73.6800
203.028
.376
.919
ITEM19
74.0500
197.159
.604
.916
ITEM20
73.9800
196.202
.606
.916
ITEM21
73.8900
201.957
.390
.919
ITEM22
74.4300
203.338
.371
.919
ITEM23
74.4500
195.927
.675
.915
ITEM24
74.4200
194.307
.694
.914
ITEM25
74.2200
194.577
.658
.915
ITEM26
74.2800
195.880
.617
.916
ITEM27
74.3800
197.996
.593
.916
ITEM28
74.1100
199.311
.467
.918
ITEM30
74.1800
197.402
.495
.918
Universitas Sumatera Utara
B. ANALISIS FAKTOR SKALA INTENSI TURNOVER KARYAWAN
1
THINKING TO QUIT
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of Sphericity
.758
Approx. Chi-Square
197.145
df
36
Sig.
.000
Anti-image Matrices
ITEM1
Anti-image
ITEM7
ITEM10
ITEM13
ITEM16
ITEM19
ITEM22
ITEM25
ITEM28
ITEM1
.768
-.210
-.066
-.046
-.022
-.018
.065
-.085
.052
Covariance ITEM7
-.210
.597
.117
-.088
-.092
-.165
-.032
-.047
-.073
ITEM10
-.066
.117
.796
.089
-.117
-.245
-.062
.056
-.050
ITEM13
-.046
-.088
.089
.722
-.029
-.029
.078
-.197
-.068
ITEM16
-.022
-.092
-.117
-.029
.664
.074
-.184
-.108
-.165
ITEM19
-.018
-.165
-.245
-.029
.074
.590
-.033
-.196
-.010
ITEM22
.065
-.032
-.062
.078
-.184
-.033
.744
-.052
-.172
ITEM25
-.085
-.047
.056
-.197
-.108
-.196
-.052
.558
-.015
ITEM28
.052
-.073
-.050
-.068
-.165
-.010
-.172
-.015
.739
a
-.309
-.085
-.062
-.031
-.026
.085
-.130
.070
-.309
a
.170
-.135
-.146
-.279
-.048
-.082
-.110
a
.117
-.162
-.357
-.081
.083
-.065
.117
a
-.042
-.045
.107
-.311
-.093
a
.118
-.261
-.178
-.236
a
-.049
-.342
-.015
a
-.081
-.232
a
-.024
Anti-image
ITEM1
Correlation ITEM7
ITEM10
ITEM13
.781
-.085
-.062
.782
.170
-.135
.528
.791
ITEM16
-.031
-.146
-.162
-.042
ITEM19
-.026
-.279
-.357
-.045
.773
.118
.714
ITEM22
.085
-.048
-.081
.107
-.261
-.049
.760
ITEM25
-.130
-.082
.083
-.311
-.178
-.342
-.081
.787
ITEM28
.070
-.110
-.065
-.093
-.236
-.015
-.232
-.024
a. Measures of Sampling Adequacy(MSA)
Universitas Sumatera Utara
.807
a
Communalities
Initial
Extraction
ITEM1
1.000
.493
ITEM7
1.000
.597
ITEM10
1.000
.830
ITEM13
1.000
.575
ITEM16
1.000
.602
ITEM19
1.000
.677
ITEM22
1.000
.622
ITEM25
1.000
.619
ITEM28
1.000
.600
Extraction Method: Principal Component Analysis.
Total Variance Explained
Component
Extraction Sums of Squared
Initial Eigenvalues
Loadings
% of
Total
dimension0
Variance
Rotation Sums of Squared Loadings
% of
Cumulative %
Total
Variance
% of
Cumulative %
Total
Variance
Cumulative %
1
3.141
34.901
34.901
3.141
34.901
34.901
2.455
27.283
27.283
2
1.417
15.743
50.644
1.417
15.743
50.644
1.919
21.321
48.603
3
1.057
11.749
62.393
1.057
11.749
62.393
1.241
13.790
62.393
4
.776
8.626
71.019
5
.651
7.232
78.251
6
.608
6.757
85.008
7
.524
5.824
90.832
8
.476
5.286
96.118
9
.349
3.882
100.000
Extraction Method: Principal Component Analysis.
Universitas Sumatera Utara
Component Matrix
a
Component
1
2
3
ITEM1
.510
-.433
.213
ITEM7
.714
-.286
-.069
ITEM10
.310
.453
.727
ITEM13
.557
-.433
-.277
ITEM16
.632
.383
-.237
ITEM19
.677
-.104
.456
ITEM22
.486
.595
-.179
ITEM25
.750
-.234
-.031
ITEM28
.556
.433
-.322
Extraction Method: Principal Component Analysis.
a. 3 components extracted.
Rotated Component Matrix
a
Component
1
2
3
ITEM1
.674
-.100
.170
ITEM7
.733
.243
.021
ITEM10
-.027
.174
.894
ITEM13
.698
.142
-.259
ITEM16
.243
.732
.086
ITEM19
.602
.118
.548
ITEM22
-.002
.769
.175
ITEM25
.729
.283
.083
ITEM28
.151
.760
.007
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 5 iterations.
Component Transformation Matrix
Component
dimension0
1
2
3
1
.776
.575
.258
2
-.630
.691
.354
3
.025
-.437
.899
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Universitas Sumatera Utara
2
INTENTION TO SEARCH
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of Sphericity
.815
Approx. Chi-Square
226.947
df
28
Sig.
.000
Anti-image Matrices
ITEM2
Anti-image
ITEM5
ITEM8
ITEM11
ITEM14 ITEM20
ITEM23
ITEM26
ITEM2
.624
-.106
-.096
-.269
-.037
-.030
.014
-.041
Covariance ITEM5
-.106
.842
-.044
.002
-.005
.040
-.213
.031
ITEM8
-.096
-.044
.610
-.034
-.047
-.123
-.026
-.155
ITEM11
-.269
.002
-.034
.656
.072
-.076
-.067
-.077
ITEM14
-.037
-.005
-.047
.072
.526
-.219
-.193
-.075
ITEM20
-.030
.040
-.123
-.076
-.219
.536
.025
-.095
ITEM23
.014
-.213
-.026
-.067
-.193
.025
.649
-.092
ITEM26
-.041
.031
-.155
-.077
-.075
-.095
-.092
.599
a
-.146
-.156
-.421
-.064
-.053
.022
-.067
a
-.061
.003
-.008
.059
-.289
.044
-.061
a
-.054
-.083
-.214
-.042
-.257
a
.122
-.128
-.102
-.123
a
-.412
-.331
-.134
a
.042
-.168
a
-.148
Anti-image
ITEM2
Correlation ITEM5
ITEM8
.800
-.146
-.156
.732
.882
ITEM11
-.421
.003
-.054
ITEM14
-.064
-.008
-.083
.770
.122
.783
ITEM20
-.053
.059
-.214
-.128
-.412
.817
ITEM23
.022
-.289
-.042
-.102
-.331
.042
.792
ITEM26
-.067
.044
-.257
-.123
-.134
-.168
-.148
a. Measures of Sampling Adequacy(MSA)
Universitas Sumatera Utara
.882
a
Communalities
Initial
Extraction
ITEM2
1.000
.729
ITEM5
1.000
.837
ITEM8
1.000
.563
ITEM11
1.000
.752
ITEM14
1.000
.732
ITEM20
1.000
.688
ITEM23
1.000
.667
ITEM26
1.000
.595
Extraction Method: Principal Component Analysis.
Total Variance Explained
Component
Extraction Sums of Squared
Initial Eigenvalues
Loadings
% of
Total
Variance
Rotation Sums of Squared Loadings
% of
Cumulative %
Total
Variance
% of
Cumulative %
Total
Variance
Cumulative %
1
3.490
43.619
43.619
3.490
43.619
43.619
2.547
31.832
31.832
2
1.044
13.054
56.673
1.044
13.054
56.673
1.694
21.179
53.011
3
1.029
12.859
69.532
1.029
12.859
69.532
1.322
16.520
69.532
4
.615
7.693
77.225
5
.566
7.077
84.302
6
.469
5.859
90.160
7
.450
5.626
95.786
8
.337
4.214
100.000
dimension0
Extraction Method: Principal Component Analysis.
Universitas Sumatera Utara
Component Matrix
a
Component
1
2
3
ITEM2
.656
-.011
.546
ITEM5
.375
.830
.088
ITEM8
.731
-.169
-.022
ITEM11
.603
-.095
.616
ITEM14
.724
-.039
-.454
ITEM20
.739
-.304
-.222
ITEM23
.637
.431
-.275
ITEM26
.738
-.197
-.106
Extraction Method: Principal Component Analysis.
a. 3 components extracted.
Rotated Component Matrix
a
Component
1
2
3
ITEM2
.230
.805
.168
ITEM5
-.022
.173
.898
ITEM8
.640
.381
.090
ITEM11
.179
.846
.066
ITEM14
.821
-.003
.243
ITEM20
.796
.232
-.019
ITEM23
.505
.048
.640
ITEM26
.699
.317
.072
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 4 iterations.
Component Transformation Matrix
Component
dimension0
1
2
3
1
.785
.520
.337
2
-.326
-.116
.938
3
-.527
.846
-.078
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Universitas Sumatera Utara
3
INTENTION TO QUIT
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of Sphericity
.769
Approx. Chi-Square
271.435
df
45
Sig.
.000
Anti-image Matrices
ITEM3
Anti-image
ITEM6
ITEM9
ITEM12
ITEM15
ITEM18
ITEM21
ITEM24
ITEM27 ITEM30
ITEM3
.627
-.030
-.240
-.014
-.085
.028
-.146
-.004
.020
-.073
Covariance ITEM6
-.030
.625
-.088
-.017
.104
-.089
-.175
-.129
.051
-.083
ITEM9
-.240
-.088
.562
-.176
-.003
-.051
.018
-.034
-.110
.043
ITEM12
-.014
-.017
-.176
.724
-.008
-.158
-.024
.051
.014
-.079
ITEM15
-.085
.104
-.003
-.008
.658
.125
-.146
-.146
-.212
.048
ITEM18
.028
-.089
-.051
-.158
.125
.603
-.017
-.126
.053
-.128
ITEM21
-.146
-.175
.018
-.024
-.146
-.017
.754
-.035
-.029
.126
ITEM24
-.004
-.129
-.034
.051
-.146
-.126
-.035
.518
-.077
-.170
ITEM27
.020
.051
-.110
.014
-.212
.053
-.029
-.077
.649
-.162
ITEM30
-.073
-.083
.043
-.079
.048
-.128
.126
-.170
-.162
.544
a
-.048
-.405
-.020
-.132
.046
-.213
-.007
.031
-.125
Correlation ITEM6
-.048
.814
a
-.148
-.025
.161
-.145
-.255
-.227
.081
-.143
ITEM9
-.405
-.148
a
-.276
-.005
-.087
.028
-.064
-.182
.078
a
-.012
-.240
-.032
.083
.021
-.125
a
.198
-.208
-.251
-.325
.079
a
-.026
-.226
.085
-.223
a
-.056
-.041
.197
-.056
a
-.132
-.320
a
-.273
Anti-image
ITEM3
.785
.780
ITEM12
-.020
-.025
-.276
.809
ITEM15
-.132
.161
-.005
-.012
.620
ITEM18
.046
-.145
-.087
-.240
.198
.790
ITEM21
-.213
-.255
.028
-.032
-.208
-.026
ITEM24
-.007
-.227
-.064
.083
-.251
-.226
.694
.806
ITEM27
.031
.081
-.182
.021
-.325
.085
-.041
-.132
.746
ITEM30
-.125
-.143
.078
-.125
.079
-.223
.197
-.320
-.273
.765
a. Measures of Sampling Adequacy(MSA)
Universitas Sumatera Utara
a
Communalities
Initial
Extraction
ITEM3
1.000
.601
ITEM6
1.000
.535
ITEM9
1.000
.579
ITEM12
1.000
.440
ITEM15
1.000
.728
ITEM18
1.000
.667
ITEM21
1.000
.583
ITEM24
1.000
.661
ITEM27
1.000
.697
ITEM30
1.000
.735
Extraction Method: Principal Component Analysis.
Total Variance Explained
Component
Extraction Sums of Squared
Initial Eigenvalues
Loadings
% of
Total
Variance
Rotation Sums of Squared Loadings
% of
Cumulative %
Total
% of
Variance Cumulative %
Total
Variance
Cumulative %
1
3.537
35.373
35.373
3.537
35.373
35.373
2.583
25.831
25.831
2
1.569
15.688
51.061
1.569
15.688
51.061
1.823
18.228
44.059
3
1.120
11.198
62.259
1.120
11.198
62.259
1.820
18.201
62.259
4
.903
9.029
71.288
5
.675
6.753
78.042
6
.529
5.294
83.336
7
.493
4.932
88.268
8
.472
4.720
92.988
9
.374
3.744
96.732
10
.327
3.268
100.000
dimension0
Extraction Method: Principal Component Analysis.
Universitas Sumatera Utara
Component Matrix
a
Component
1
2
3
ITEM3
.631
.246
.377
ITEM6
.644
-.292
.187
ITEM9
.704
.038
.286
ITEM12
.548
-.307
.214
ITEM15
.336
.768
-.158
ITEM18
.588
-.563
-.064
ITEM21
.421
.384
.508
ITEM24
.741
.016
-.333
ITEM27
.535
.457
-.450
ITEM30
.675
-.254
-.463
Extraction Method: Principal Component Analysis.
a. 3 components extracted.
Rotated Component Matrix
a
Component
1
2
3
ITEM3
.239
.708
.208
ITEM6
.639
.356
.004
ITEM9
.445
.593
.172
ITEM12
.576
.322
-.068
ITEM15
-.261
.357
.730
ITEM18
.815
.029
-.030
ITEM21
-.024
.755
.111
ITEM24
.566
.131
.568
ITEM27
.131
.112
.817
ITEM30
.719
-.109
.454
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 10 iterations.
Universitas Sumatera Utara
Component Transformation Matrix
Component
dimension0
1
2
3
1
.720
.511
.468
2
-.681
.397
.615
3
-.129
.762
-.634
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Universitas Sumatera Utara
C. RELIABILITAS SKALA INTENSI TURNOVER KARYAWAN
Reliability Statistics
Cronbach's Alpha
N of Items
.888
15
Item-Total Statistics
Scale Mean if Item
Scale Variance if
Corrected Item-Total
Cronbach's Alpha if Item
Deleted
Item Deleted
Correlation
Deleted
ITEM1
38.63
70.781
.494
.884
ITEM6
39.24
71.356
.458
.885
ITEM7
38.81
67.792
.598
.879
ITEM8
38.85
68.775
.596
.879
ITEM12
39.03
73.080
.347
.890
ITEM13
39.23
71.957
.432
.886
ITEM14
39.25
67.785
.700
.875
ITEM18
38.70
73.364
.352
.889
ITEM19
39.07
69.884
.581
.880
ITEM20
39.00
68.525
.637
.878
ITEM23
39.47
68.938
.669
.877
ITEM24
39.44
68.107
.679
.876
ITEM25
39.24
67.922
.665
.877
ITEM26
39.30
69.020
.602
.879
ITEM30
39.20
69.434
.504
.884
Scale Statistics
Mean
41.89
Variance
79.473
Std. Deviation
8.915
N of Items
15
Universitas Sumatera Utara
A. UJI BEDA DAYA ITEM SKALA BUDAYA ORGANISASI
1
PUTARAN I
Reliability Statistics
Cronbach's Alpha
N of Items
.843
24
Item-Total Statistics
Scale Mean if
Scale Variance if
Corrected Item-Total
Cronbach's Alpha if
Item Deleted
Item Deleted
Correlation
Item Deleted
ITEM1
80.2700
110.543
.347
.839
ITEM2
80.4800
106.959
.498
.834
ITEM3
79.8300
107.961
.598
.832
ITEM4
80.4400
106.006
.564
.831
ITEM5
80.2700
107.492
.557
.832
ITEM6
80.2900
106.531
.610
.830
ITEM7
80.4100
112.669
.273
.842
ITEM8
81.2300
119.856
-.107
.859
ITEM9
80.4600
109.988
.340
.840
ITEM10
80.1200
106.450
.534
.832
ITEM11
80.3800
103.491
.680
.826
ITEM12
81.0100
107.404
.389
.838
ITEM13
79.8600
113.152
.298
.841
ITEM14
81.3100
114.499
.114
.850
ITEM15
80.2600
107.346
.495
.834
ITEM16
80.2500
109.826
.448
.836
ITEM17
79.9900
108.192
.485
.834
ITEM18
80.0700
107.601
.524
.833
ITEM19
80.1800
107.038
.540
.832
ITEM20
80.5200
107.989
.520
.833
ITEM21
80.1800
107.826
.467
.835
ITEM22
81.0400
120.645
-.142
.858
ITEM23
80.2100
110.208
.364
.839
ITEM24
80.6400
109.485
.386
.838
Universitas Sumatera Utara
2
PUTARAN II
Reliability Statistics
Cronbach's Alpha
N of Items
.883
19
Item-Total Statistics
Scale Mean if
Scale Variance if
Corrected Item-Total
Cronbach's Alpha if
Item Deleted
Item Deleted
Correlation
Item Deleted
ITEM1
64.6200
101.127
.313
.883
ITEM2
64.8300
96.244
.542
.876
ITEM3
64.1800
97.604
.628
.874
ITEM4
64.7900
96.127
.566
.875
ITEM5
64.6200
97.491
.563
.875
ITEM6
64.6400
97.263
.574
.875
ITEM9
64.8100
98.398
.418
.880
ITEM10
64.4700
96.555
.535
.876
ITEM11
64.7300
93.189
.712
.870
ITEM12
65.3600
98.576
.340
.884
ITEM15
64.6100
96.644
.538
.876
ITEM16
64.6000
99.859
.445
.879
ITEM17
64.3400
97.742
.514
.877
ITEM18
64.4200
97.478
.536
.876
ITEM19
64.5300
96.797
.560
.875
ITEM20
64.8700
98.054
.520
.877
ITEM21
64.5300
96.777
.527
.876
ITEM23
64.5600
100.107
.367
.882
ITEM24
64.9900
99.141
.404
.881
Universitas Sumatera Utara
B. ANALISI FAKTOR SKALA BUDAYA ORGANISASI
1. BUDAYA BIOKRASI
a. PUTARAN 1
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of Sphericity
.642
Approx. Chi-Square
94.558
df
10
Sig.
.000
Anti-image Matrices
ITEM1
Anti-image Covariance
Anti-image Correlation
ITEM4
ITEM10
ITEM16
ITEM19
ITEM1
.636
-.140
-.186
-.258
.207
ITEM4
-.140
.726
-.202
.000
-.188
ITEM10
-.186
-.202
.685
-.085
-.073
ITEM16
-.258
.000
-.085
.683
-.233
ITEM19
.207
-.188
-.073
-.233
.786
a
-.205
-.282
-.391
.293
ITEM4
-.205
.717
a
-.287
-.001
-.249
ITEM10
-.282
-.287
a
-.124
-.100
a
-.318
ITEM1
.587
.749
ITEM16
-.391
-.001
-.124
.652
ITEM19
.293
-.249
-.100
-.318
.459
a
a. Measures of Sampling Adequacy(MSA)
Communalities
Initial
Extraction
ITEM1
1.000
.792
ITEM4
1.000
.519
ITEM10
1.000
.593
ITEM16
1.000
.522
ITEM19
1.000
.897
Extraction Method: Principal Component Analysis.
Universitas Sumatera Utara
Total Variance Explained
Component
Initial Eigenvalues
Total
dimension0
% of Variance
Extraction Sums of Squared Loadings
Cumulative %
Total
% of Variance
Cumulative %
1
2.271
45.419
45.419
2.271
45.419
45.419
2
1.051
21.026
66.445
1.051
21.026
66.445
3
.753
15.069
81.514
4
.532
10.645
92.159
5
.392
7.841
100.000
Extraction Method: Principal Component Analysis.
Component Matrix
a
Component
1
2
ITEM1
.694
-.557
ITEM4
.707
.137
ITEM10
.760
-.124
ITEM16
.722
.024
ITEM19
.436
.841
Extraction Method: Principal Component Analysis.
a. 2 components extracted.
Rotated Component Matrix
a
Component
1
2
ITEM1
.854
-.249
ITEM4
.601
.397
ITEM10
.750
.176
ITEM16
.658
.298
ITEM19
.082
.943
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 3 iterations.
Component Transformation Matrix
Component
1
2
1
.924
2
-.382
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
dimension0
.382
.924
Universitas Sumatera Utara
b. PUTARAN II
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of Sphericity
.730
Approx. Chi-Square
71.573
df
6
Sig.
.000
Anti-image Matrices
ITEM1
Anti-image Covariance
Anti-image Correlation
ITEM4
ITEM10
ITEM16
ITEM1
.696
-.105
-.184
-.239
ITEM4
-.105
.774
-.237
-.067
ITEM10
-.184
-.237
.692
-.120
ITEM16
-.239
-.067
-.120
.760
ITEM1
.720
a
-.143
-.266
-.328
ITEM4
-.143
.745
a
-.323
-.087
ITEM10
-.266
-.323
.719
a
-.165
ITEM16
-.328
-.087
-.165
.742
a
a. Measures of Sampling Adequacy(MSA)
Communalities
Initial
Extraction
ITEM1
1.000
.590
ITEM4
1.000
.475
ITEM10
1.000
.598
ITEM16
1.000
.496
Extraction Method: Principal Component Analysis.
Universitas Sumatera Utara
Total Variance Explained
Component
Initial Eigenvalues
Total
% of Variance
Extraction Sums of Squared Loadings
Cumulative %
1
2.159
53.976
53.976
2
.764
19.103
73.079
3
.559
13.986
87.065
4
.517
12.935
100.000
Total
2.159
% of Variance
Cumulative %
53.976
dimension0
Extraction Method: Principal Component Analysis.
Component Matrix
a
Component
1
ITEM1
.768
ITEM4
.689
ITEM10
.773
ITEM16
.705
Extraction Method: Principal Component Analysis.
a. 1 components extracted.
Universitas Sumatera Utara
53.976
2. BUDAYA INOVATIF
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of Sphericity
.775
Approx. Chi-Square
119.248
df
15
Sig.
.000
Anti-image Matrices
ITEM2
ITEM5
ITEM11
ITEM17
ITEM20
ITEM23
Anti-image
ITEM2
.667
-.078
-.198
-.166
-.094
.024
Covariance
ITEM5
-.078
.795
-.049
-.124
-.005
-.229
ITEM11
-.198
-.049
.664
-.118
-.162
.019
ITEM17
-.166
-.124
-.118
.679
-.140
.019
ITEM20
-.094
-.005
-.162
-.140
.668
-.201
ITEM23
.024
-.229
.019
.019
-.201
.814
a
-.107
-.297
-.246
-.141
.032
-.107
a
-.067
-.168
-.007
-.285
a
-.176
-.243
.026
a
-.208
.025
a
-.273
Anti-image
Correlation
ITEM2
ITEM5
.791
.770
ITEM11
-.297
-.067
.790
ITEM17
-.246
-.168
-.176
.807
ITEM20
-.141
-.007
-.243
-.208
.779
ITEM23
.032
-.285
.026
.025
-.273
.651
a
a. Measures of Sampling Adequacy(MSA)
Communalities
Initial
Extraction
ITEM2
1.000
.633
ITEM5
1.000
.535
ITEM11
1.000
.627
ITEM17
1.000
.578
ITEM20
1.000
.534
ITEM23
1.000
.789
Extraction Method: Principal Component Analysis.
Universitas Sumatera Utara
Total Variance Explained
Component
Initial Eigenvalues
Total
dimension0
% of Variance
Extraction Sums of Squared Loadings
Cumulative %
Total
% of Variance
Cumulative %
1
2.646
44.108
44.108
2.646
44.108
44.108
2
1.050
17.498
61.607
1.050
17.498
61.607
3
.735
12.258
73.865
4
.572
9.529
83.393
5
.521
8.684
92.077
6
.475
7.923
100.000
Extraction Method: Principal Component Analysis.
Component Matrix
a
Component
1
2
ITEM2
.720
-.339
ITEM5
.578
.448
ITEM11
.722
-.325
ITEM17
.725
-.227
ITEM20
.730
.046
ITEM23
.463
.758
Extraction Method: Principal Component Analysis.
a. 2 components extracted.
Rotated Component Matrix
a
Component
1
2
ITEM2
.792
.075
ITEM5
.269
.680
ITEM11
.787
.089
ITEM17
.740
.175
ITEM20
.604
.412
ITEM23
.011
.888
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 3 iterations.
Universitas Sumatera Utara
Component Transformation Matrix
Component
1
2
1
.860
.510
2
-.510
.860
dimension0
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Universitas Sumatera Utara
3. BUDAYA SUPORTIF
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of Sphericity
.767
Approx. Chi-Square
180.277
df
28
Sig.
.000
Anti-image Matrices
ITEM3
ITEM6
ITEM9
ITEM12
ITEM15
ITEM18
ITEM21 ITEM24
Anti-image
ITEM3
.654
-.220
-.072
-.006
-.070
-.063
-.097
-.085
Covariance
ITEM6
-.220
.700
.047
-.079
-.170
.005
-.093
.081
ITEM9
-.072
.047
.790
-.077
-.196
.019
.006
-.113
ITEM12
-.006
-.079
-.077
.695
.052
-.066
.069
-.286
ITEM15
-.070
-.170
-.196
.052
.639
-.133
-.123
.032
ITEM18
-.063
.005
.019
-.066
-.133
.678
-.150
-.139
ITEM21
-.097
-.093
.006
.069
-.123
-.150
.683
-.106
ITEM24
-.085
.081
-.113
-.286
.032
-.139
-.106
.585
a
-.325
-.100
-.008
-.109
-.095
-.146
-.137
ITEM6
-.325
a
.063
-.114
-.254
.008
-.134
.126
ITEM9
-.100
a
-.103
-.276
.027
.009
-.167
-.103
a
.078
-.096
.101
-.448
a
-.202
-.186
.052
a
-.221
-.220
a
-.167
Anti-image
Correlation
ITEM3
ITEM12
.827
-.008
.726
.063
-.114
.781
.663
ITEM15
-.109
-.254
-.276
.078
.771
ITEM18
-.095
.008
.027
-.096
-.202
.833
ITEM21
-.146
-.134
.009
.101
-.186
-.221
.826
ITEM24
-.137
.126
-.167
-.448
.052
-.220
-.167
.696
a
a. Measures of Sampling Adequacy(MSA)
Universitas Sumatera Utara
Communalities
Initial
Extraction
ITEM3
1.000
.542
ITEM6
1.000
.554
ITEM9
1.000
.314
ITEM12
1.000
.667
ITEM15
1.000
.595
ITEM18
1.000
.473
ITEM21
1.000
.500
ITEM24
1.000
.740
Extraction Method: Principal Component Analysis.
Total Variance Explained
Component
Initial Eigenvalues
Total
dimension0
Extraction Sums of Squared Loadings
% of
Cumulative
Variance
%
Rotation Sums of Squared Loadings
% of
Total
Variance
% of
Cumulative %
Total
Variance
Cumulative %
1
3.069
38.357
38.357
3.069
38.357
38.357
2.403
30.038
30.038
2
1.319
16.485
54.842
1.319
16.485
54.842
1.984
24.804
54.842
3
.859
10.741
65.584
4
.794
9.922
75.505
5
.587
7.338
82.844
6
.536
6.705
89.549
7
.442
5.522
95.072
8
.394
4.928
100.000
Extraction Method: Principal Component Analysis.
Component Matrix
a
Component
1
ITEM3
ITEM6
ITEM9
ITEM12
ITEM15
ITEM18
ITEM21
ITEM24
2
.701
.563
.530
.482
.665
.681
.667
.629
-.225
-.487
.183
.660
-.391
.095
-.235
.587
Extraction Method: Principal Component Analysis.
a. 2 components extracted.
Universitas Sumatera Utara
Rotated Component Matrix
a
Component
1
2
ITEM3
.691
.255
ITEM6
.743
-.037
ITEM9
.304
.471
ITEM12
-.028
.816
ITEM15
.765
.103
ITEM18
.478
.495
ITEM21
.670
.227
ITEM24
.133
.850
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 3 iterations.
Component Transformation Matrix
Component
1
2
1
.787
.617
2
-.617
.787
dimension0
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Universitas Sumatera Utara
C. RELIABILITAS SKALA BUDAYA ORGANISASI
Reliability Statistics
Cronbach's Alpha
N of Items
.856
12
Item-Total Statistics
Scale Mean if Item Scale Variance if Corrected Item-Total
Deleted
Item Deleted
Correlation
Cronbach's Alpha if
Item Deleted
ITEM1
40.16
43.813
.400
.854
ITEM2
40.37
42.094
.508
.847
ITEM3
39.72
42.466
.649
.838
ITEM4
40.33
41.637
.565
.842
ITEM6
40.18
41.927
.620
.839
ITEM10
40.01
41.687
.552
.843
ITEM11
40.27
40.563
.641
.837
ITEM15
40.15
41.947
.538
.844
ITEM16
40.14
43.677
.486
.848
ITEM17
39.88
42.915
.494
.847
ITEM20
40.41
43.638
.454
.850
ITEM21
40.07
42.611
.479
.849
Scale Statistics
Mean
43.79
Variance
49.824
Std. Deviation
7.059
N of Items
12
Universitas Sumatera Utara
A. DAYA
BEDA
ITEM
GAYA
KEPEMIMPINAN
TRANSFORMASIONAL
1. PUTARAN I
Reliability Statistics
Cronbach's
N of Items
Alpha
.927
40
ITEM1
Item-Total Statistics
Corrected
Scale Mean if Scale Variance Item-Total
Item Deleted if Item Deleted Correlation
132.6061
401.751
.712
Cronbach's
Alpha if Item
Deleted
.923
ITEM2
132.5455
407.883
.614
.924
ITEM3
132.7172
405.776
.645
.924
ITEM4
132.9495
412.130
.500
.925
ITEM5
133.2020
407.204
.507
.925
ITEM6
133.2222
419.420
.291
.927
ITEM7
133.1515
403.171
.591
.924
ITEM8
132.9192
412.157
.471
.925
ITEM9
133.3131
419.605
.267
.928
ITEM10
132.8990
416.235
.382
.926
ITEM11
133.1515
415.069
.384
.926
ITEM12
132.8384
412.729
.444
.926
ITEM13
133.0404
408.284
.468
.926
ITEM14
133.0808
416.789
.297
.927
ITEM15
133.0606
409.833
.467
.926
ITEM16
133.5758
415.635
.327
.927
ITEM17
132.9596
412.549
.477
.925
ITEM18
132.9293
406.454
.638
.924
ITEM19
133.0303
411.968
.520
.925
ITEM20
132.5960
409.896
.607
.924
ITEM21
132.7172
411.572
.483
.925
Universitas Sumatera Utara
ITEM22
133.1616
408.688
.483
.925
ITEM23
133.1111
415.345
.411
.926
ITEM24
132.7374
404.012
.658
.924
ITEM25
132.7980
419.020
.309
.927
ITEM26
133.3333
415.816
.376
.926
ITEM27
132.9798
405.163
.673
.924
ITEM28
133.1414
401.735
.730
.923
ITEM29
133.0606
420.792
.247
.928
ITEM30
132.9697
413.417
.472
.925
ITEM31
133.4040
416.896
.301
.927
ITEM32
133.0404
411.202
.471
.925
ITEM33
132.6869
410.013
.606
.924
ITEM34
132.7576
404.573
.670
.924
ITEM35
132.8182
408.314
.580
.924
ITEM36
132.9394
399.935
.724
.923
ITEM37
133.2020
409.000
.518
.925
ITEM38
132.8586
413.470
.461
.926
ITEM39
134.2020
429.122
.044
.930
ITEM40
133.6263
419.685
.288
.927
Universitas Sumatera Utara
2. PUTARAN KE II
Reliability Statistics
Cronbach's
N of Items
Alpha
.932
ITEM1
ITEM2
ITEM3
ITEM4
ITEM5
ITEM7
ITEM8
ITEM10
ITEM11
ITEM12
ITEM13
ITEM15
ITEM16
ITEM17
ITEM18
ITEM19
ITEM20
ITEM21
ITEM22
ITEM23
ITEM24
ITEM25
ITEM26
ITEM27
ITEM28
ITEM30
ITEM31
ITEM32
ITEM33
ITEM34
ITEM35
ITEM36
ITEM37
ITEM38
34
Item-Total Statistics
Scale
Corrected ItemScale Mean if Variance if
Cronbach's Alpha
Total
Item Deleted
Item
if Item Deleted
Correlation
Deleted
114.4444
339.739
.717
.928
114.3838
344.627
.642
.929
114.5556
343.025
.662
.929
114.7879
348.189
.538
.930
115.0404
346.223
.476
.931
114.9899
341.500
.584
.930
114.7576
349.206
.479
.931
114.7374
352.685
.397
.932
114.9899
351.153
.411
.932
114.6768
348.833
.476
.931
114.8788
346.761
.448
.931
114.8990
348.561
.437
.931
115.4141
353.653
.303
.933
114.7980
349.428
.489
.931
114.7677
343.548
.658
.929
114.8687
348.830
.535
.930
114.4343
346.758
.628
.929
114.5556
348.984
.482
.931
115.0000
347.000
.466
.931
114.9495
353.048
.394
.932
114.5758
342.492
.645
.929
114.6364
356.948
.278
.933
115.1717
350.776
.433
.931
114.8182
341.926
.706
.928
114.9798
339.755
.734
.928
114.8081
351.687
.442
.931
115.2424
355.737
.256
.934
114.8788
349.536
.446
.931
114.5253
346.946
.625
.929
114.5960
342.060
.683
.929
114.6566
344.432
.624
.929
114.7778
338.032
.730
.928
115.0404
346.733
.514
.930
114.6970
350.907
.455
.931
Universitas Sumatera Utara
3. PUTARAN III
Reliability Statistics
Cronbach's
N of Items
Alpha
.934
ITEM1
ITEM2
ITEM3
ITEM4
ITEM5
ITEM7
ITEM8
ITEM10
ITEM11
ITEM12
ITEM13
ITEM15
ITEM16
ITEM17
ITEM18
ITEM19
ITEM20
ITEM21
ITEM22
ITEM23
ITEM24
ITEM26
ITEM27
ITEM28
ITEM30
ITEM32
ITEM33
ITEM34
ITEM35
ITEM36
ITEM37
ITEM38
32
Item-Total Statistics
Scale
Corrected Item- Cronbach's
Scale Mean if
Variance if
Total
Alpha if Item
Item Deleted
Item Deleted
Correlation
Deleted
107.5600
318.208
.717
.930
107.5000
322.838
.644
.931
107.6900
320.863
.666
.931
107.9200
326.337
.531
.932
108.1700
324.122
.481
.933
108.1200
319.379
.593
.932
107.8700
327.670
.468
.933
107.8600
330.142
.412
.934
108.1200
328.612
.424
.934
107.7900
326.834
.479
.933
108.0100
324.757
.449
.934
108.0300
326.938
.427
.934
108.5300
332.898
.271
.936
107.9100
327.456
.491
.933
107.8800
321.763
.661
.931
107.9800
327.535
.516
.933
107.5500
324.795
.634
.931
107.6900
326.519
.491
.933
108.1200
325.400
.460
.933
108.0600
331.936
.365
.934
107.7000
320.879
.643
.931
108.3000
327.667
.463
.933
107.9400
320.097
.712
.930
108.1100
317.917
.737
.930
107.9400
329.411
.445
.933
108.0000
327.313
.455
.933
107.6400
324.899
.633
.931
107.7300
319.957
.687
.931
107.7800
322.497
.629
.931
107.9100
316.386
.727
.930
108.1700
324.486
.523
.932
107.8200
328.695
.462
.933
Universitas Sumatera Utara
4. PUTARAN IV
Reliability Statistics
Cronbach's Alpha N of Items
.936
ITEM1
ITEM2
ITEM3
ITEM4
ITEM5
ITEM7
ITEM8
ITEM10
ITEM11
ITEM12
ITEM13
ITEM15
ITEM17
ITEM18
ITEM19
ITEM20
ITEM21
ITEM22
ITEM23
ITEM24
ITEM26
ITEM27
ITEM28
ITEM30
ITEM32
ITEM33
ITEM34
ITEM35
ITEM36
ITEM37
ITEM38
31
Item-Total Statistics
Scale
Corrected ItemScale Mean if Variance if
Total
Item Deleted Item Deleted
Correlation
104.6900
306.054
.721
104.6300
310.437
.653
104.8200
308.371
.679
105.0500
314.189
.530
105.3000
312.475
.468
105.2500
307.745
.583
105.0000
315.919
.455
104.9900
317.242
.432
105.2500
316.331
.425
104.9200
314.519
.482
105.1400
312.768
.445
105.1600
315.590
.405
105.0400
314.948
.501
105.0100
309.263
.674
105.1100
315.089
.524
104.6800
312.361
.644
104.8200
314.695
.481
105.2500
313.280
.459
105.1900
320.499
.340
104.8300
309.173
.632
105.4300
315.318
.467
105.0700
307.722
.722
105.2400
305.962
.735
105.0700
316.894
.454
105.1300
315.104
.455
104.7700
312.442
.644
104.8600
307.637
.695
104.9100
310.345
.631
105.0400
304.301
.730
105.3000
312.495
.518
104.9500
316.371
.465
Cronbach's
Alpha if Item
Deleted
.932
.932
.932
.934
.935
.933
.935
.935
.935
.934
.935
.935
.934
.932
.934
.933
.934
.935
.936
.933
.934
.932
.931
.935
.935
.933
.932
.933
.931
.934
.934
Universitas Sumatera Utara
B. ANALISIS
FAKTOR
TRANSFORMASIONAL
1
SKALA
GAYA
KEPEMIMPINAN
ASPEK INDIVIDUALIZED INFLUENCE
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of
Approx. Chi-Square
Sphericity
df
.744
168.722
21
Sig.
.000
Anti-image Matrices
ITEM1
Anti-image
ITEM5
ITEM13
ITEM17
ITEM21
ITEM33
ITEM37
ITEM1
.565
-.116
.002
-.173
-.016
-.274
-.005
Covariance ITEM5
-.116
.621
-.232
.087
-.050
-.037
-.118
ITEM13
.002
-.232
.576
-.146
-.200
.081
-.141
ITEM17
-.173
.087
-.146
.795
.012
-.085
.024
ITEM21
-.016
-.050
-.200
.012
.716
-.123
-.054
ITEM33
-.274
-.037
.081
-.085
-.123
.589
-.104
ITEM37
-.005
-.118
-.141
.024
-.054
-.104
.752
ITEM1
.716
a
-.196
.004
-.258
-.025
-.474
-.008
-.196
.766
a
-.388
.124
-.075
-.061
-.172
.004
-.388
a
-.215
-.312
.139
-.214
a
.016
-.124
.032
a
-.189
-.074
a
-.157
Anti-image
Correlation ITEM5
ITEM13
.692
ITEM17
-.258
.124
-.215
ITEM21
-.025
-.075
-.312
.722
.016
.817
ITEM33
-.474
-.061
.139
-.124
-.189
.700
ITEM37
-.008
-.172
-.214
.032
-.074
-.157
a. Measures of Sampling Adequacy(MSA)
Communalities
Initial
Extraction
ITEM1
1.000
.725
ITEM5
1.000
.611
ITEM13
1.000
.675
ITEM17
1.000
.484
ITEM21
1.000
.482
ITEM33
1.000
.675
ITEM37
1.000
.481
Extraction Method: Principal Component Analysis.
Universitas Sumatera Utara
.846
a
Total Variance Explained
Component
Initial Eigenvalues
Total
dimension0
% of Variance
Extraction Sums of Squared Loadings
Cumulative %
Total
% of Variance
Cumulative %
Rotation Sums of Squared Loadings
Total
% of Variance
Cumulative %
1
2.924
41.775
41.775 2.924
41.775
41.775
2.249
32.126
32.126
2
1.209
17.269
59.043 1.209
17.269
59.043
1.884
26.918
59.043
3
.801
11.445
70.488
4
.688
9.826
80.314
5
.628
8.975
89.289
6
.381
5.436
94.724
7
.369
5.276
100.000
Extraction Method: Principal Component Analysis.
Component Matrix
a
Component
1
2
ITEM1
.694
.493
ITEM5
.699
-.349
ITEM13
.688
-.449
ITEM17
.484
.499
ITEM21
.650
-.243
ITEM33
.663
.485
ITEM37
.618
-.315
Extraction Method: Principal Component Analysis.
a. 2 components extracted.
Rotated Component Matrix
a
Component
1
2
ITEM1
.231
.820
ITEM5
.764
.167
ITEM13
.817
.083
ITEM17
.064
.692
ITEM21
.659
.218
ITEM33
.212
.794
ITEM37
.679
.142
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 3 iterations.
Universitas Sumatera Utara
Component Transformation Matrix
Component
1
2
1
.779
.627
2
-.627
.779
dimension0
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Universitas Sumatera Utara
2
ASPEK INSPIRATIONAL MOTIVATION
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of
Approx. Chi-Square
Sphericity
df
.787
268.289
28
Sig.
.000
Anti-image Matrices
ITEM2 ITEM10
ITEM18
ITEM22
ITEM26
ITEM30
ITEM34
ITEM38
Anti-image
ITEM2
.498
-.103
-.194
.004
-.013
.081
-.102
-.033
Covariance
ITEM10
-.103
.570
-.123
-.007
-.165
-.093
-.012
.185
ITEM18
-.194
-.123
.413
.046
-.048
-.056
-.097
-.080
ITEM22
.004
-.007
.046
.709
.063
-.246
-.110
-.056
ITEM26
-.013
-.165
-.048
.063
.632
.065
-.135
-.163
ITEM30
.081
-.093
-.056
-.246
.065
.575
-.121
-.173
ITEM34
-.102
-.012
-.097
-.110
-.135
-.121
.493
-.014
ITEM38
-.033
.185
-.080
-.056
-.163
-.173
-.014
.711
a
-.194
-.428
.006
-.023
.151
-.206
-.055
ITEM10
-.194
.778
a
-.254
-.010
-.275
-.163
-.023
.290
ITEM18
-.428
-.254
a
.084
-.094
-.115
-.215
-.147
.084
a
.094
-.385
-.187
-.079
a
.107
-.241
-.243
a
-.227
-.270
a
-.024
Anti-image
Correlation
ITEM2
ITEM22
.808
.006
-.010
.817
.700
ITEM26
-.023
-.275
-.094
.094
ITEM30
.151
-.163
-.115
-.385
.808
.107
.714
ITEM34
-.206
-.023
-.215
-.187
-.241
-.227
.859
ITEM38
-.055
.290
-.147
-.079
-.243
-.270
-.024
a. Measures of Sampling Adequacy(MSA)
Communalities
Initial
Extraction
ITEM2
1.000
.665
ITEM10
1.000
.586
ITEM18
1.000
.731
ITEM22
1.000
.651
ITEM26
1.000
.514
ITEM30
1.000
.702
ITEM34
1.000
.657
ITEM38
1.000
.422
Extraction Method: Principal Component Analysis.
Universitas Sumatera Utara
.692
a
Total Variance Explained
Component
Initial Eigenvalues
Total
% of Variance
Extraction Sums of Squared Loadings
Cumulative %
Total
% of Variance
Cumulative %
Rotation Sums of Squared Loadings
Total
% of Variance
Cumulative %
1
3.489
43.608
43.608
3.489
43.608
43.608
2.919
36.488
36.488
2
1.439
17.985
61.593
1.439
17.985
61.593
2.008
25.105
61.593
3
.868
10.848
72.441
4
.619
7.734
80.174
5
.514
6.423
86.597
6
.450
5.626
92.224
7
.321
4.012
96.235
8
.301
3.765
100.000
dimension0
Extraction Method: Principal Component Analysis.
Component Matrix
a
Component
1
2
ITEM2
.730
-.364
ITEM10
.669
-.372
ITEM18
.822
-.237
ITEM22
.398
.702
ITEM26
.659
-.281
ITEM30
.588
.596
ITEM34
.808
.068
ITEM38
.492
.424
Extraction Method: Principal Component Analysis.
a. 2 components extracted.
Universitas Sumatera Utara
Rotated Component Matrix
a
Component
1
2
ITEM2
.812
.076
ITEM10
.764
.037
ITEM18
.823
.232
ITEM22
-.032
.806
ITEM26
.708
.109
ITEM30
.186
.817
ITEM34
.650
.484
ITEM38
.194
.620
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 3 iterations.
Component Transformation Matrix
Component
1
2
1
.850
.527
2
-.527
.850
dimension0
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Universitas Sumatera Utara
3
ASPEK INTELLECTUAL STIMULATION
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of Sphericity
.763
Approx. Chi-Square
240.454
df
28
Sig.
.000
Anti-image Matrices
ITEM3
Anti-image
Covariance
Anti-image
ITEM7
ITEM11
ITEM15
ITEM19
ITEM23
ITEM27
ITEM35
ITEM3
.555
-.091
.016
-.101
-.094
.065
-.152
-.081
ITEM7
-.091
.535
-.259
-.088
.037
-.210
-.045
.013
ITEM11
.016
-.259
.662
.055
-.103
-.005
-.021
-.044
ITEM15
-.101
-.088
.055
.748
.079
-.183
.026
-.145
ITEM19
-.094
.037
-.103
.079
.581
-.026
-.219
.066
ITEM23
.065
-.210
-.005
-.183
-.026
.721
.003
-.050
ITEM27
-.152
-.045
-.021
.026
-.219
.003
.401
-.187
ITEM35
-.081
.013
-.044
-.145
.066
-.050
-.187
.616
ITEM3
.836
a
-.167
.026
-.156
-.165
.103
-.323
-.139
-.167
.740
a
-.435
-.140
.067
-.338
-.097
.023
.026
-.435
a
.078
-.166
-.008
-.041
-.069
a
.119
-.249
.048
-.213
a
-.040
-.454
.109
-.040
a
.005
-.075
a
-.376
Correlation ITEM7
ITEM11
.762
ITEM15
-.156
-.140
.078
ITEM19
-.165
.067
-.166
ITEM23
.103
-.338
-.008
.727
.119
-.249
.735
.734
ITEM27
-.323
-.097
-.041
.048
-.454
.005
.746
ITEM35
-.139
.023
-.069
-.213
.109
-.075
-.376
.798
a. Measures of Sampling Adequacy(MSA)
Universitas Sumatera Utara
a
Communalities
Initial
Extraction
ITEM3
1.000
.609
ITEM7
1.000
.620
ITEM11
1.000
.373
ITEM15
1.000
.535
ITEM19
1.000
.664
ITEM23
1.000
.619
ITEM27
1.000
.780
ITEM35
1.000
.463
Extraction Method: Principal Component Analysis.
Total Variance Explained
Component
Extraction Sums of Squared
Initial Eigenvalues
Loadings
% of
Total
Variance
Rotation Sums of Squared Loadings
% of
Cumulative %
Total
Variance
% of
Cumulative %
Total
Variance
Cumulative %
1
3.307
41.340
41.340
3.307
41.340
41.340
2.673
33.417
33.417
2
1.357
16.961
58.301
1.357
16.961
58.301
1.991
24.884
58.301
3
.993
12.410
70.711
4
.645
8.063
78.774
5
.572
7.147
85.921
6
.487
6.083
92.005
7
.358
4.474
96.478
8
.282
3.522
100.000
dimension0
Extraction Method: Principal Component Analysis.
Universitas Sumatera Utara
Component Matrix
a
Component
1
2
ITEM3
.735
-.262
ITEM7
.703
.356
ITEM11
.609
.047
ITEM15
.448
.578
ITEM19
.609
-.541
ITEM23
.486
.619
ITEM27
.795
-.386
ITEM35
.680
-.015
Extraction Method: Principal Component Analysis.
a. 2 components extracted.
Rotated Component Matrix
a
Component
1
2
ITEM3
.753
.204
ITEM7
.374
.693
ITEM11
.473
.386
ITEM15
.039
.731
ITEM19
.809
-.097
ITEM23
.046
.785
ITEM27
.873
.136
ITEM35
.568
.376
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 3 iterations.
Component Transformation Matrix
Component
1
2
1
.822
.570
2
-.570
.822
dimension0
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Universitas Sumatera Utara
4
ASPEK INDIVIDUALIZED CONSIDERATION
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of Sphericity
.830
Approx. Chi-Square
246.251
df
28
Sig.
.000
Anti-image Matrices
ITEM4
ITEM8
ITEM12
ITEM20
ITEM24
ITEM28
ITEM32
ITEM36
Anti-image
ITEM4
.659
-.006
-.097
-.111
.083
-.158
.101
-.105
Covariance
ITEM8
-.006
.660
.109
.016
-.230
-.097
-.022
-.023
ITEM12
-.097
.109
.710
-.122
-.085
-.109
-.023
.003
ITEM20
-.111
.016
-.122
.629
-.145
-.042
-.063
-.044
ITEM24
.083
-.230
-.085
-.145
.504
-.079
-.107
-.036
ITEM28
-.158
-.097
-.109
-.042
-.079
.427
-.033
-.171
ITEM32
.101
-.022
-.023
-.063
-.107
-.033
.766
-.131
ITEM36
-.105
-.023
.003
-.044
-.036
-.171
-.131
.551
a
-.009
-.142
-.172
.145
-.299
.143
-.174
ITEM8
-.009
a
.159
.024
-.399
-.182
-.031
-.037
ITEM12
-.142
a
-.182
-.143
-.198
-.031
.005
-.182
a
-.257
-.082
-.091
-.075
a
-.170
-.172
-.069
a
-.058
-.352
a
-.201
Anti-image
Correlation
ITEM4
ITEM20
.785
-.172
.776
.159
.024
.848
.881
ITEM24
.145
-.399
-.143
-.257
.797
ITEM28
-.299
-.182
-.198
-.082
-.170
.834
ITEM32
.143
-.031
-.031
-.091
-.172
-.058
.858
ITEM36
-.174
-.037
.005
-.075
-.069
-.352
-.201
a. Measures of Sampling Adequacy(MSA)
Universitas Sumatera Utara
.860
a
Communalities
Initial
Extraction
ITEM4
1.000
.679
ITEM8
1.000
.593
ITEM12
1.000
.510
ITEM20
1.000
.514
ITEM24
1.000
.697
ITEM28
1.000
.707
ITEM32
1.000
.472
ITEM36
1.000
.566
Extraction Method: Principal Component Analysis.
Total Variance Explained
Component
Initial Eigenvalues
Extraction Sums of Squared Loadings
% of
Total
Variance
Rotation Sums of Squared Loadin
% of
Cumulative %
Total
Variance
% of
Cumulative %
Total
Variance
Cumulative
1
3.604
45.055
45.055
3.604
45.055
45.055
2.478
30.979
30.9
2
1.134
14.180
59.235
1.134
14.180
59.235
2.260
28.255
59.2
3
.814
10.179
69.414
4
.720
9.005
78.418
5
.562
7.020
85.438
6
.476
5.948
91.386
7
.363
4.533
95.919
8
.326
4.081
100.000
dimension0
Extraction Method: Principal Component Analysis.
Universitas Sumatera Utara
Component Matrix
a
Component
1
2
ITEM4
.573
-.593
ITEM8
.575
.512
ITEM12
.594
-.397
ITEM20
.707
-.117
ITEM24
.743
.380
ITEM28
.832
-.124
ITEM32
.535
.431
ITEM36
.750
-.062
Extraction Method: Principal Component Analysis.
a. 2 components extracted.
Rotated Component Matrix
a
Component
1
2
ITEM4
.823
-.050
ITEM8
.079
.766
ITEM12
.706
.108
ITEM20
.601
.391
ITEM24
.291
.782
ITEM28
.697
.470
ITEM32
.103
.679
ITEM36
.595
.460
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 3 iterations.
Component Transformation Matrix
Component
1
2
1
.738
.675
2
-.675
.738
dimension0
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Universitas Sumatera Utara
C. RELIABILITAS SKALA GAYA KEPEMIMPINAN
TRANSFORMASIONAL
Reliability Statistics
Cronbach's Alpha
N of Items
.914
18
Item-Total Statistics
Scale Mean if Item
Scale Variance if
Corrected Item-Total
Cronbach's Alpha if
Deleted
Item Deleted
Correlation
Item Deleted
ITEM2
59.32
117.594
.704
.907
ITEM3
59.51
116.858
.700
.907
ITEM4
59.74
119.427
.601
.909
ITEM5
59.99
121.343
.398
.916
ITEM10
59.68
121.129
.509
.912
ITEM12
59.61
119.836
.537
.911
ITEM13
59.83
122.506
.337
.918
ITEM18
59.70
116.879
.723
.906
ITEM19
59.80
120.707
.561
.910
ITEM20
59.37
119.730
.647
.909
ITEM21
59.51
122.798
.401
.915
ITEM26
60.12
120.450
.516
.912
ITEM27
59.76
116.103
.763
.905
ITEM28
59.93
115.985
.727
.906
ITEM34
59.55
116.351
.719
.906
ITEM35
59.60
118.384
.636
.909
ITEM36
59.73
115.250
.707
.906
ITEM37
59.99
121.242
.450
.914
Scale Statistics
Mean
63.22
Variance
132.779
Std. Deviation
11.523
N of Items
18
Universitas Sumatera Utara
UJI ASUMSI
A. UJI NORMALITAS
1) Uji Normalitas Budaya Biokrasi Terhadap Intensi Turnover Karyawan
One-Sample Kolmogorov-Smirnov Test
Unstandardized Residual
N
Normal Parameters
206
a,b
Mean
.0000000
Std. Deviation
Most Extreme Differences
8.49670505
Absolute
.058
Positive
.056
Negative
-.058
Kolmogorov-Smirnov Z
.827
Asymp. Sig. (2-tailed)
.501
a. Test distribution is Normal.
b. Calculated from data.
2) Uji Normalitas Budaya Inovatif Terhadap Intensi Turnover Karyawan
One-Sample Kolmogorov-Smirnov Test
Unstandardized Residual
N
Normal Parameters
206
a,b
Mean
Std. Deviation
Most Extreme Differences
.0000000
8.46357288
Absolute
.055
Positive
.046
Negative
-.055
Kolmogorov-Smirnov Z
.793
Asymp. Sig. (2-tailed)
.555
a. Test distribution is Normal.
b. Calculated from data.
Universitas Sumatera Utara
3) Uji Normalitas Budaya Suportif Terhadap Intensi Turnover Karyawan
One-Sample Kolmogorov-Smirnov Test
Unstandardized Residual
N
206
Normal Parameters
a,b
Mean
.0000000
Std. Deviation
Most Extreme Differences
8.43679009
Absolute
.069
Positive
.049
Negative
-.069
Kolmogorov-Smirnov Z
.985
Asymp. Sig. (2-tailed)
.286
a. Test distribution is Normal.
b. Calculated from data.
4) Uji Normalitas Gaya Kepemimpinan Transformasional Terhadap Intensi
Turnover Karyawan
One-Sample Kolmogorov-Smirnov Test
Unstandardized Predicted Value
N
Normal Parameters
206
a,b
Most Extreme Differences
Mean
39.8834951
Std. Deviation
3.85337653
Absolute
.062
Positive
.062
Negative
-.059
Kolmogorov-Smirnov Z
.888
Asymp. Sig. (2-tailed)
.409
a. Test distribution is Normal.
b. Calculated from data.
Universitas Sumatera Utara
5) Uji Normalitas Budaya Organisasi (Biokrasi, Inovatif, Suportif) Dan
Gaya Kepemimpinan Transformasional Terhadap Intensi Turnover
Karyawan
One-Sample Kolmogorov-Smirnov Test
Unstandardized Residual
N
206
Normal Parameters
a,b
Mean
.0000000
Std. Deviation
7.71473627
Most Extreme Differences Absolute
.077
Positive
.050
Negative
-.077
Kolmogorov-Smirnov Z
1.104
Asymp. Sig. (2-tailed)
.174
a. Test distribution is Normal.
b. Calculated from data.
B. UJI LINEARITAS
1. Uji Linearitas Budaya Biokrasi Terhadap Intensi Turnover Karyawan
ANOVA Table
Sum of
Mean
Squares
df
Square
F
Sig.
I.TURNOVE Betwee (Combined)
937.750
12
78.146
1.054
.402
R*
453.435
1
453.435
6.113
.014
484.315
11
44.029
.594
.833
Within Groups
14315.454
193
74.173
Total
15253.204
205
n
Linearity
B.BIOKRASI Groups Deviation from Linearity
2. Uji Linearitas Budaya Inovatif Terhadap Intensi Turnover Karyawan
ANOVA Table
Sum of
Mean
Squares
I.TURNOVER
Between
(Combined)
* B.INOVATIF
Groups
df
Square
F
Sig.
1230.169
13
94.628
1.296
.218
Linearity
568.630
1
568.630
7.786
.006
Deviation from Linearity
661.538
12
55.128
.755
.696
Within Groups
14023.035
192
73.037
Total
15253.204
205
Universitas Sumatera Utara
3. Uji Linearitas Budaya Suportif Terhhadap Intensi Turnover Karyawan
ANOVA Table
Sum of
Mean
Squares
I.TURNOVER *
Between
(Combined)
B.SUPORTIF
Groups
Linearity
df
Square
F
Sig.
3147.946
12
262.329
4.182
.000
661.421
1
661.421
10.545
.001
2486.525
11
226.048
3.604
.000
Within Groups
12105.257
193
62.722
Total
15253.204
205
Deviation from Linearity
4. Uji Linearitas Gaya Kepemimpinan Transforasional Terhadap Intensi
Turnover Karyawan
ANOVA Table
Sum of
Squares
Mean
df
Square
F
Sig.
I.TURNOVER Between Groups
(Combined)
6816.594
42
162.300
3.136
.000
* G.K.T
Linearity
3043.945
1
3043.945
58.811
.000
Deviation from Linearity
3772.649
41
92.016
1.778
.006
8436.610
163
51.758
15253.204
205
Within Groups
Total
C. UJI AUTOKORELASI
b
Model Summary
Model
1
R
.447
R Square
a
Adjusted R Square
.200
Std. Error of the Estimate
.184
Durbin-Watson
7.791
a. Predictors: (Constant), G.K.T, B.BIOKRASI, B.INOVATIF, B.SUPORTIF
b. Dependent Variable: I.TURNOVER
Universitas Sumatera Utara
1.910
D. UJI MULTIKOLINEARITAS
Coefficients
Model
Standardized
Unstandardized Coefficients
B
1
a
(Constant)
Std. Error
65.575
4.268
B.BIOKRASI
-.085
.283
B.INOVATIF
.039
B.SUPORTIF
G.K.T
Coefficients
Beta
Collinearity Statistics
t
Sig.
Tolerance
VIF
15.366
.000
-.024
-.300
.765
.606
1.651
.260
.013
.152
.880
.548
1.826
.065
.321
.019
.201
.841
.428
2.334
-.401
.066
-.453