Lampiran 7.Hasil output dengan menggunakan software SPSS 20.0
1. Output Reliabilitas
Reliability Statistics
Cronbachs Alpha
N of Items .758
9
2. Output Validitas
Item-Total Statistics
Scale Mean if Item Deleted
Scale Variance if Item Deleted
Corrected Item- Total
Correlation Cronbachs
Alpha if Item Deleted
VAR00001 14.5332
15.782 .460
.732 VAR00002
15.7326 15.797
.549 .719
VAR00003 15.6994
16.511 .385
.744 VAR00004
14.5334 15.877
.402 .743
VAR00005 15.6322
16.416 .380
.745 VAR00006
16.1668 17.622
.395 .744
VAR00007 15.8630
15.757 .566
.717 VAR00008
15.5277 15.873
.449 .734
VAR00009 15.0591
16.045 .396
.743
Universitas Sumatera Utara
Universitas Sumatera Utara
3. Output Matriks Korelasi
Correlation Matrix
VAR00001 VAR00002
VAR00003 VAR00004
VAR00005 VAR00006
VAR00007 VAR00008
VAR00009
Correlation VAR00001
1.000 .158
.263 .296
.256 .282
.333 .232
.359 VAR00002
.158 1.000
.178 .169
.377 .395
.797 .322
.271 VAR00003
.263 .178
1.000 .178
.301 .081
.195 .608
.008 VAR00004
.296 .169
.178 1.000
.105 .315
.205 .219
.447 VAR00005
.256 .377
.301 .105
1.000 .135
.293 .249
.132 VAR00006
.282 .395
.081 .315
.135 1.000
.487 .054
.186 VAR00007
.333 .797
.195 .205
.293 .487
1.000 .193
.255 VAR00008
.232 .322
.608 .219
.249 .054
.193 1.000
.212 VAR00009
.359 .271
.008 .447
.132 .186
.255 .212
1.000
Universitas Sumatera Utara
4. Output MSA
Anti-image Matrices
VAR00001 VAR00002
VAR00003 VAR00004
VAR00005 VAR00006
VAR00007 VAR00008
VAR00009
Anti-image Correlation
VAR00001 .648
a
.304 -.107
-.056 -.189
-.136 -.306
-.089 -.273
VAR00002 .304
.571
a
.153 .049
-.279 -.085
-.757 -.321
-.130 VAR00003
-.107 .153
.559
a
-.102 -.197
.009 -.151
-.585 .232
VAR00004 -.056
.049 -.102
.712
a
.018 -.245
.002 -.059
-.377 VAR00005
-.189 -.279
-.197 .018
.749
a
.037 .095
.044 .002
VAR00006 -.136
-.085 .009
-.245 .037
.812
a
-.214 .096
.065 VAR00007
-.306 -.757
-.151 .002
.095 -.214
.613
a
.214 .014
VAR00008 -.089
-.321 -.585
-.059 .044
.096 .214
.574
a
-.148 VAR00009
-.273 -.130
.232 -.377
.002 .065
.014 -.148
.643
a
a. Measures of Sampling AdequacyMSA
Universitas Sumatera Utara
5. Output Nilai Eigenvalue untuk Setiap Faktor
Total Variance Explained
Component 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
3.174 35.268
35.268 3.174
35.268 35.268
2.194 24.380
24.380 2
1.423 15.816
51.084 1.423
15.816 51.084
1.846 20.507
44.887 3
1.249 13.879
64.963 1.249
13.879 64.963
1.807 20.076
64.963 4
.806 8.960
73.924 5
.784 8.711
82.634 6
.645 7.162
89.796 7
.439 4.875
94.671 8
.334 3.710
98.381 9
.146 1.619
100.000 Extraction Method: Principal Component Analysis.
Universitas Sumatera Utara
Universitas Sumatera Utara
6. Output Residuals
