128
Component Matrix
a
Component 1
item18 .679
item25 .841
item30 .761
item35 .845
item37 .687
item38 .775
Extraction Method: Principal Component
Analysis. a. 1 components
extracted.
2. ASPEK CHANGE SPECIFIC EFFICACY KMO and Bartletts Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .707
Bartletts Test of Sphericity Approx. Chi-Square
243.192 df
45 Sig.
.000
Anti-image Matrices
item2 item4
item8 item10 item28 item29
item31 item34 item36 item40 Anti-image
Covariance item2
.765 -.142 -.084
-.176 -.004
.000 .002 -.014
-.067 .033
item4 -.142
.707 .003
.035 .137 -4.589E-5 -.088 -.066
-.014 -.262 item8
-.084 .003
.675 -.027
-.052 -.068 -.044
.152 -.240 -.044
item10 -.176
.035 -.027 .734
-.097 -.065
.074 -.104 -.068 -.008
item28 -.004
.137 -.052 -.097
.715 -.066
.097 -.130 -.023 -.232
item29 .000 -4.589E-5 -.068
-.065 -.066
.776 -.273 .022
.093 -.050 item31
.002 -.088 -.044
.074 .097
-.273 .561 -.181
-.069 .028
item34 -.014
-.066 .152
-.104 -.130
.022 -.181 .459
-.193 .011
item36 -.067
-.014 -.240 -.068
-.023 .093 -.069 -.193
.428 -.045 item40
.033 -.262 -.044
-.008 -.232
-.050 .028
.011 -.045
.697
Universita Sumatera Utara
129
Anti-image Correlation
item2 .827
a
-.193 -.117 -.235
-.005 .001
.003 -.023 -.117
.046 item4
-.193 .693
a
.004 .049
.193 -6.192E-5 -.140 -.116 -.025 -.373
item8 -.117
.004 .646
a
-.039 -.075
-.094 -.071 .272
-.446 -.064 item10
-.235 .049 -.039
.812
a
-.134 -.086
.116 -.179 -.121 -.011
item28 -.005
.193 -.075 -.134
.663
a
-.089 .153 -.227
-.041 -.329 item29
.001 -6.192E-5 -.094 -.086
-.089 .569
a
-.413 .037
.161 -.068 item31
.003 -.140 -.071
.116 .153
-.413 .682
a
-.357 -.141
.045 item34
-.023 -.116
.272 -.179
-.227 .037 -.357 .701
a
-.435 .019
item36 -.117
-.025 -.446 -.121
-.041 .161 -.141 -.435
.738
a
-.083 item40
.046 -.373 -.064
-.011 -.329
-.068 .045
.019 -.083 .689
a
a. Measures of Sampling AdequacyMSA
Communalities
Initial Extraction
item2 1.000
.556 item4
1.000 .807
item8 1.000
.350 item10
1.000 .558
item28 1.000
.804 item29
1.000 .697
item31 1.000
.782 item34
1.000 .581
item36 1.000
.697 item40
1.000 .823
Extraction Method: Principal Component Analysis.
Universita Sumatera Utara
130
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 3.335
33.355 33.355
3.335 33.355
33.355 2.374
23.737 23.737
2 1.274
12.738 46.093
1.274 12.738
46.093 1.580
15.805 39.542
3 1.039
10.386 56.479
1.039 10.386
56.479 1.360
13.600 53.142
4 1.009
10.094 66.573
1.009 10.094
66.573 1.343
13.431 66.573
5 .906
9.065 75.638
6 .808
8.083 83.721
7 .571
5.708 89.429
8 .431
4.307 93.736
9 .360
3.599 97.335
10 .267
2.665 100.000
Extraction Method: Principal Component Analysis.
Rotated Component Matrix
a
Component 1
2 3
4 item2
.711 -.054
.191 -.105
item4 .230
.159 .845
-.121 item8
.567 .064
.116 .104
item10 .646
.040 -.152
.340 item28
.223 .058
-.007 .867
item29 -.067
.820 .010
.146 item31
.309 .794
.192 -.137
item34 .571
.439 .140
.208 item36
.770 .213
.178 .163
item40 .085
.047 .696
.574 Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization. a. Rotation converged in 7 iterations.
Universita Sumatera Utara
131
KMO and Bartletts Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .656
Bartletts Test of Sphericity Approx. Chi-Square
117.563 df
10 Sig.
.000
Anti-image Matrices
item2 item8
item10 item34
item36 Anti-image Covariance
item2 .797
-.093 -.179
-.040 -.078
item8 -.093
.703 -.040
.152 -.264
item10 -.179
-.040 .774
-.123 -.064
item34 -.040
.152 -.123
.575 -.283
item36 -.078
-.264 -.064
-.283 .447
Anti-image Correlation item2
.827
a
-.124 -.228
-.059 -.131
item8 -.124
.569
a
-.054 .239
-.472 item10
-.228 -.054
.821
a
-.184 -.109
item34 -.059
.239 -.184
.599
a
-.558 item36
-.131 -.472
-.109 -.558
.614
a
a. Measures of Sampling AdequacyMSA
Communalities
Initial Extraction
item2 1.000
.409 item8
1.000 .351
item10 1.000
.439 item34
1.000 .513
item36 1.000
.722 Extraction Method: Principal
Component Analysis.
Universita Sumatera Utara
132
Total Variance Explained
Compo nent
Initial Eigenvalues Extraction Sums of Squared Loadings
Total of Variance
Cumulative Total
of Variance Cumulative
1 2.434
48.683 48.683
2.434 48.683
48.683 2
.884 17.689
66.372 3
.775 15.491
81.863 4
.621 12.430
94.293 5
.285 5.707
100.000 Extraction Method: Principal Component Analysis.
Component Matrix
a
Component 1
item2 .639
item8 .593
item10 .662
item34 .716
item36 .850
Extraction Method: Principal Component
Analysis. a. 1 components
extracted.
3. ASPEK MANAGEMENT SUPPORT KMO and Bartletts Test