137
Component Matrix
a
Component 1
item9 .882
item11 .773
item13 .804
item17 .775
item24 .763
Extraction Method: Principal Component
Analysis. a. 1 components
extracted.
4. ASPEK PERSONAL VALANCE
KMO and Bartletts Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .726
Bartletts Test of Sphericity Approx. Chi-Square
238.104 df
28 Sig.
.000
Anti-image Matrices
item12 item14
item19 item20 item21 item22 item23 item26
Anti-image Covariance item12
.609 -.233
-.101 .060
-.179 .045
-.066 -.032
item14 -.233
.701 -.220
-.086 .055
-.017 .100
-.063 item19
-.101 -.220
.757 .030
.018 -.100
-.154 .122
item20 .060
-.086 .030
.605 -.241
-.033 -.017
-.042 item21
-.179 .055
.018 -.241
.434 -.158
-.075 .003
item22 .045
-.017 -.100
-.033 -.158
.553 .040
-.217 item23
-.066 .100
-.154 -.017
-.075 .040
.602 -.249
item26 -.032
-.063 .122
-.042 .003
-.217 -.249
.509
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Anti-image Correlation item12
.737
a
-.356 -.148
.099 -.349
.078 -.108
-.057 item14
-.356 .638
a
-.302 -.131
.099 -.027
.155 -.106
item19 -.148
-.302 .631
a
.045 .032
-.154 -.229
.196 item20
.099 -.131
.045 .769
a
-.470 -.057
-.029 -.076
item21 -.349
.099 .032
-.470 .733
a
-.322 -.147
.007 item22
.078 -.027
-.154 -.057
-.322 .772
a
.070 -.408
item23 -.108
.155 -.229
-.029 -.147
.070 .732
a
-.450 item26
-.057 -.106
.196 -.076
.007 -.408
-.450 .714
a
a. Measures of Sampling AdequacyMSA
Communalities
Initial Extraction
item12 1.000
.593 item14
1.000 .654
item19 1.000
.593 item20
1.000 .495
item21 1.000
.667 item22
1.000 .577
item23 1.000
.469 item26
1.000 .621
Extraction Method: Principal Component Analysis.
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Total Variance Explained
Com pone
nt Initial Eigenvalues
Extraction Sums of Squared Loadings
Rotation Sums of Squared Loadings
Total of
Variance Cumulative
Total of
Variance Cumulative
Total of
Variance Cumulative
1 3.309
41.365 41.365
3.309 41.365
41.365 2.876
35.947 35.947
2 1.360
16.997 58.362
1.360 16.997
58.362 1.793
22.416 58.362
3 .859
10.736 69.098
4 .668
8.354 77.452
5 .663
8.284 85.736
6 .541
6.766 92.501
7 .328
4.095 96.596
8 .272
3.404 100.000
Extraction Method: Principal Component Analysis.
Rotated Component Matrix
a
Component 1
2 item12
.364 .679
item14 .080
.804 item19
.043 .769
item20 .698
.090 item21
.790 .206
item22 .748
.133 item23
.667 .155
item26 .786
.049 Extraction Method: Principal
Component Analysis. Rotation Method: Varimax with
Kaiser Normalization. a. Rotation converged in 3
iterations.
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KMO and Bartletts Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .748
Bartletts Test of Sphericity Approx. Chi-Square
162.141 df
10 Sig.
.000
Anti-image Matrices
item20 item21
item22 item23
item26 Anti-image Covariance
item20 .618
-.261 -.037
.000 -.052
item21 -.261
.496 -.173
-.119 -.007
item22 -.037
-.173 .571
.028 -.218
item23 .000
-.119 .028
.650 -.254
item26 -.052
-.007 -.218
-.254 .532
Anti-image Correlation item20
.763
a
-.472 -.063
.000 -.091
item21 -.472
.736
a
-.326 -.210
-.013 item22
-.063 -.326
.771
a
.047 -.395
item23 .000
-.210 .047
.750
a
-.433 item26
-.091 -.013
-.395 -.433
.729
a
a. Measures of Sampling AdequacyMSA
Communalities
Initial Extraction
item20 1.000
.502 item21
1.000 .656
item22 1.000
.592 item23
1.000 .472
item26 1.000
.608 Extraction Method: Principal
Component Analysis.
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Total Variance Explained
Compo nent
Initial Eigenvalues Extraction Sums of Squared Loadings
Total of Variance
Cumulative Total
of Variance Cumulative
1 2.830
56.605 56.605
2.830 56.605
56.605 2
.831 16.614
73.220 3
.611 12.223
85.443 4
.417 8.331
93.774 5
.311 6.226
100.000 Extraction Method: Principal Component Analysis.
Component Matrix
a
Component 1
item20 .708
item21 .810
item22 .770
item23 .687
item26 .780
Extraction Method: Principal Component
Analysis. a. 1 components
extracted.
OUTPUT UJI DAYA BEDA ITEM SKALA KOMITMEN ORGANISASI Case Processing Summary
N Cases
Valid 100
100.0 Excluded
a
0.0 Total
100 100.0
a. Listwise deletion based on all variables in the procedure.
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Reliability Statistics
Cronbachs Alpha
N of Items .883
30
Item Statistics
Mean Std. Deviation
N item1
4.3400 .57243
100 item2
3.9700 .55877
100 item3
4.3000 .57735
100 item4
3.3500 1.08595
100 item5
3.9300 .76877
100 item6
4.1200 .62410
100 item7
4.1600 .58119
100 item8
3.8700 .94980
100 item9
3.2900 .93523
100 item10
4.2000 .53182
100 item11
2.7400 .86012
100 item12
3.4800 .78470
100 item13
4.0800 .50612
100 item14
3.8700 .89505
100 item15
3.5600 .92463
100 item16
4.1700 .68246
100 item17
4.0500 .65713
100 item18
3.1700 .87681
100 item19
3.5300 .84632
100 item20
4.0300 .59382
100 item21
3.8100 .78746
100 item22
4.0900 .71202
100 item23
3.7800 .62893
100 item24
3.6600 .93441
100 item25
4.0300 .70288
100 item26
3.6500 1.03840
100 item27
3.9000 .75879
100 item28
3.5400 .84591
100
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item29 3.7700
.83913 100
item30 3.5900
.93306 100
Item-Total Statistics
Scale Mean if Item Deleted
Scale Variance if Item Deleted
Corrected Item- Total Correlation
Cronbachs Alpha if Item
Deleted item1
109.6900 122.640
.226 .883
item2 110.0600
119.249 .513
.879 item3
109.7300 120.644
.382 .881
item4 110.6800
115.897 .374
.882 item5
110.1000 115.263
.604 .876
item6 109.9100
119.315 .449
.880 item7
109.8700 122.276
.250 .883
item8 110.1600
117.368 .367
.882 item9
110.7400 119.790
.252 .884
item10 109.8300
119.941 .481
.880 item11
111.2900 126.976
-.097 .892
item12 110.5500
124.230 .056
.888 item13
109.9500 119.927
.509 .879
item14 110.1600
113.146 .624
.875 item15
110.4700 117.706
.362 .882
item16 109.8600
116.566 .597
.877 item17
109.9800 116.141
.653 .876
item18 110.8600
121.697 .174
.886 item19
110.5000 115.606
.522 .878
item20 110.0000
116.727 .682
.876 item21
110.2200 118.719
.378 .881
item22 109.9400
118.219 .459
.879 item23
110.2500 121.321
.297 .882
item24 110.3700
117.993 .343
.882 item25
110.0000 116.465
.585 .877
item26 110.3800
111.147 .621
.875 item27
110.1300 113.650
.717 .874
item28 110.4900
116.050 .497
.878
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item29 110.2600
114.376 .599
.876 item30
110.4400 112.491
.630 .875
Case Processing Summary
N Cases
Valid 100
100.0 Excluded
a
0.0 Total
100 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbachs Alpha
N of Items .902
23
Item Statistics
Mean Std. Deviation
N item2
3.9700 .55877
100 item3
4.3000 .57735
100 item4
3.3500 1.08595
100 item5
3.9300 .76877
100 item6
4.1200 .62410
100 item8
3.8700 .94980
100 item10
4.2000 .53182
100 item13
4.0800 .50612
100 item14
3.8700 .89505
100 item15
3.5600 .92463
100 item16
4.1700 .68246
100 item17
4.0500 .65713
100 item19
3.5300 .84632
100 item20
4.0300 .59382
100 item21
3.8100 .78746
100 item22
4.0900 .71202
100
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item24 3.6600
.93441 100
item25 4.0300
.70288 100
item26 3.6500
1.03840 100
item27 3.9000
.75879 100
item28 3.5400
.84591 100
item29 3.7700
.83913 100
item30 3.5900
.93306 100
Item-Total Statistics
Scale Mean if Item Deleted
Scale Variance if Item Deleted
Corrected Item- Total Correlation
Cronbachs Alpha if Item
Deleted item2
85.1000 98.475
.463 .899
item3 84.7700
99.957 .315
.901 item4
85.7200 95.032
.364 .903
item5 85.1400
93.879 .635
.895 item6
84.9500 98.593
.399 .900
item8 85.2000
96.040 .375
.901 item10
84.8700 98.902
.448 .899
item13 84.9900
99.020 .461
.899 item14
85.2000 92.222
.634 .894
item15 85.5100
96.939 .337
.902 item16
84.9000 95.424
.603 .896
item17 85.0200
95.434 .628
.895 item19
85.5400 94.352
.539 .897
item20 85.0400
95.271 .716
.894 item21
85.2600 97.063
.402 .900
item22 84.9800
96.707 .479
.898 item24
85.4100 96.749
.343 .902
item25 85.0400
95.413 .584
.896 item26
85.4200 90.286
.636 .894
item27 85.1700
92.486 .744
.892 item28
85.5300 94.433
.534 .897
item29 85.3000
92.939 .635
.894 item30
85.4800 91.101
.671 .893
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Scale Statistics
Mean Variance
Std. Deviation N of Items
89.0700 103.924
10.19433 23
OUTPUT ANALISIS FAKTOR SKALA KOMITMEN ORGANISASI 1. ASPEK IDENTIFICATION
KMO and Bartletts Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .747
Bartletts Test of Sphericity Approx. Chi-Square
252.748 df
21 Sig.
.000
Anti-image Matrices
item2 item6
item17 item20
item24 item26 item29
Anti-image Covariance item2
.606 -.240
-.081 .032
.089 -.060
-.117 item6
-.240 .574
-.226 -.034
-.105 -.014
.109 item17
-.081 -.226
.598 -.094
.023 .003
-.048 item20
.032 -.034
-.094 .416
-.166 -.051
-.200 item24
.089 -.105
.023 -.166
.699 -.168
.069 item26
-.060 -.014
.003 -.051
-.168 .502
-.177 item29
-.117 .109
-.048 -.200
.069 -.177
.392 Anti-image Correlation
item2 .751
a
-.406 -.134
.063 .137
-.108 -.241
item6 -.406
.645
a
-.386 -.070
-.165 -.027
.229 item17
-.134 -.386
.816
a
-.188 .035
.005 -.100
item20 .063
-.070 -.188
.774
a
-.307 -.111
-.496 item24
.137 -.165
.035 -.307
.704
a
-.284 .132
item26 -.108
-.027 .005
-.111 -.284
.819
a
-.398 item29
-.241 .229
-.100 -.496
.132 -.398
.697
a
a. Measures of Sampling AdequacyMSA
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Communalities
Initial Extraction
item2 1.000
.630 item6
1.000 .742
item17 1.000
.643 item20
1.000 .746
item24 1.000
.397 item26
1.000 .701
item29 1.000
.702 Extraction Method: Principal
Component Analysis.
Total Variance Explained
Com pone
nt Initial Eigenvalues
Extraction Sums of Squared Loadings
Rotation Sums of Squared Loadings
Total of
Variance Cumulative
Total of
Variance Cumulative
Total of
Variance Cumulative
1 3.291
47.021 47.021
3.291 47.021
47.021 2.537
36.239 36.239
2 1.270
18.142 65.163
1.270 18.142
65.163 2.025
28.924 65.163
3 .866
12.377 77.540
4 .573
8.190 85.730
5 .397
5.668 91.398
6 .363
5.180 96.578
7 .240
3.422 100.000
Extraction Method: Principal Component Analysis.
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Rotated Component Matrix
a
Component 1
2 item2
.210 .765
item6 .048
.860 item17
.288 .748
item20 .828
.245 item24
.626 .070
item26 .816
.190 item29
.815 .195
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 3 iterations.
KMO and Bartletts Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .696
Bartletts Test of Sphericity Approx. Chi-Square
148.715 df
6 Sig.
.000
Anti-image Matrices
item20 item24
item26 item29
Anti-image Covariance item20
.444 -.192
-.060 -.231
item24 -.192
.723 -.174
.108 item26
-.060 -.174
.512 -.206
item29 -.231
.108 -.206
.427 Anti-image Correlation
item20 .710
a
-.338 -.126
-.530 item24
-.338 .662
a
-.286 .194
item26 -.126
-.286 .759
a
-.440 item29
-.530 .194
-.440 .647
a
a. Measures of Sampling AdequacyMSA
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Communalities
Initial Extraction
item20 1.000
.750 item24
1.000 .394
item26 1.000
.705 item29
1.000 .696
Extraction Method: Principal Component Analysis.
Total Variance Explained
Compo nent
Initial Eigenvalues Extraction Sums of Squared Loadings
Total of Variance
Cumulative Total
of Variance Cumulative
1 2.545
63.632 63.632
2.545 63.632
63.632 2
.769 19.217
82.848 3
.430 10.760
93.608 4
.256 6.392
100.000 Extraction Method: Principal Component Analysis.
Component Matrix
a
Component 1
item20 .866
item24 .628
item26 .840
item29 .834
Extraction Method: Principal Component
Analysis. a. 1 components
extracted.
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2. ASPEK INVOLVEMENT KMO and Bartletts Test
