Lampiran 2
A. Data Asli Hasil Koisioner
No Responden
X
1
X
2
X
3
X
4
X
5
X
6
X
7
X
8
X
9
1 5
2 5
2 2
2 2
5 2
2 4
2 4
2 4
2 2
4 2
3 4
3 4
3 4
4 2
2 4
4 5
1 2
2 4
2 1
4 1
5 5
1 2
2 4
2 1
4 4
6 4
2 5
2 4
5 4
4 2
7 5
2 5
4 4
2 4
4 5
8 4
4 3
4 3
4 3
5 2
9 5
4 1
2 2
4 2
2 5
10 5
2 2
1 4
2 1
1 5
11 5
2 2
1 2
2 2
4 2
12 5
1 1
1 2
4 4
4 2
13 4
4 3
3 2
3 3
4 5
14 5
5 4
4 5
3 3
4 5
15 5
4 5
5 5
4 5
4 5
16 5
5 4
3 4
5 3
4 5
17 5
5 4
3 4
5 4
5 4
18 5
4 5
3 3
4 3
4 4
19 4
2 5
2 4
5 4
4 2
20 5
5 5
4 4
5 5
4 4
21 5
2 5
4 4
2 4
4 4
22 4
5 4
4 4
5 5
4 4
23 4
2 5
2 4
5 4
4 2
24 5
2 5
2 4
5 4
4 2
25 5
2 5
2 4
5 4
4 2
26 4
2 4
2 4
5 4
4 2
27 5
4 5
4 4
5 5
5 4
28 5
2 3
3 3
5 5
2 2
29 5
2 4
4 4
2 5
4 2
30 5
3 2
4 4
4 2
4 4
31 5
1 4
2 2
5 5
5 5
32 4
4 2
2 4
4 3
4 4
33 5
4 5
3 3
4 3
5 5
34 5
2 4
4 2
4 2
4 4
35 4
2 4
4 2
4 2
4 4
36 4
2 4
4 2
2 2
4 4
Universitas Sumatera Utara
37 5
2 5
4 4
5 4
4 4
38 5
4 5
4 4
4 5
4 4
39 5
2 4
2 2
2 3
3 5
40 5
2 1
1 1
1 2
4 2
41 4
2 1
2 1
3 2
2 1
42 5
4 3
2 2
1 3
4 2
43 5
2 1
2 2
5 2
4 2
44 4
4 1
4 4
2 1
4 4
45 4
2 3
2 5
4 2
2 2
46 4
5 1
4 5
4 4
5 5
47 4
5 1
4 5
4 4
5 5
48 5
2 1
2 4
2 1
4 2
49 4
4 4
4 1
2 1
4 2
50 4
4 4
2 2
2 1
4 2
51 5
5 5
4 4
4 3
3 4
52 5
5 2
2 2
4 2
4 2
53 5
5 4
3 5
5 4
4 4
54 5
5 3
4 2
4 4
5 4
55 4
4 5
1 4
2 2
3 2
56 2
2 4
2 2
5 2
4 2
57 4
4 4
2 2
2 2
4 2
58 5
5 4
2 2
4 1
4 3
59 4
4 4
2 1
4 2
4 2
60 5
5 4
3 2
2 2
4 2
61 5
5 4
4 2
4 1
4 2
62 4
4 4
2 2
5 3
4 2
63 5
5 4
3 2
3 2
4 4
64 5
5 4
2 2
4 2
4 4
65 4
4 4
2 2
2 2
4 2
66 5
5 4
2 2
2 2
4 2
67 2
2 4
2 2
4 1
4 2
68 3
3 4
3 2
3 4
4 2
69 3
3 4
3 2
2 1
4 3
70 2
2 4
3 1
4 1
4 2
71 4
4 4
4 3
3 4
4 3
72 2
2 3
3 2
4 4
4 2
73 3
2 4
4 4
3 74
2 5
4 2
2 4
3 4
3 75
5 4
5 3
4 4
1 4
2 76
4 4
4 3
5 5
4 4
4 77
5 4
3 3
4 4
1 4
2 78
5 4
4 3
4 5
1 2
2 79
3 4
5 4
5 5
5 5
5
Universitas Sumatera Utara
80 4
5 5
4 4
4 4
4 4
81 5
3 4
5 4
5 5
4 4
82 5
4 4
4 3
4 5
5 5
83 5
4 2
2 3
3 4
5 5
84 5
4 4
5 3
5 5
5 3
85 5
4 3
3 5
4 4
3 3
86 4
4 3
5 4
5 5
4 3
87 5
4 4
5 5
4 4
3 3
88 5
5 4
5 4
3 4
5 5
89 5
4 4
5 5
4 3
3 3
90 5
5 4
4 3
3 5
4 4
91 5
4 2
2 2
3 3
4 5
92 2
3 4
2 3
1 4
1 3
93 5
5 4
3 5
4 4
5 5
94 5
4 5
4 3
3 4
4 4
95 4
2 2
2 2
4 4
4 4
96 5
4 4
2 4
4 4
4 4
97 5
2 1
2 2
4 4
4 4
98 5
2 1
2 4
2 1
4 5
99 5
1 2
2 2
1 1
4 5
100 4
2 2
2 2
2 2
2 5
Universitas Sumatera Utara
B. Data Hasil Kuisiner Pensekalaan
No respondent
X
1
X
1
X
3
X
4
X
5
X
6
X
7
X
8
X
9
1 3,629
2,221 4,082
2,331 2,254
2,091 1,926
4,966 2,518
2 2,283
2,221 2,870
2,331 3,600
2,091 1,926
3,417 2,518
3 2,283
2,835 2,870
3,190 3,600
3,351 1,926
1,794 3,789
4 3,629
1,000 1,746
2,331 3,600
2,091 1,000
3,417 1,000
5 3,629
1,000 1,746
2,331 3,600
2,091 1,000
3,417 3,789
6 2,283
2,221 4,082
2,331 3,600
4,450 3,047
3,417 2,518
7 3,629
2,221 4,082
3,906 3,600
2,091 3,047
3,417 4,784
8 2,283
3,352 2,124
3,906 2,949
3,351 2,445
4,966 2,518
9 3,629
3,352 1,000
2,331 2,254
3,351 1,926
1,794 4,784
10 3,629
2,221 1,746
1,000 3,600
2,091 1,000
1,000 4,784
11 3,629
2,221 1,746
1,000 2,254
2,091 1,926
3,417 2,518
12 3,629
1,000 1,000
1,000 2,254
3,351 3,047
3,417 2,518
13 2,283
3,352 2,124
3,190 2,254
2,712 2,445
3,417 4,784
14 3,629
4,409 2,870
3,906 4,730
2,712 2,445
3,417 4,784
15 3,629
3,352 4,082
4,981 4,730
3,351 4,068
3,417 4,784
16 3,629
4,409 2,870
3,190 3,600
4,450 2,445
3,417 4,784
17 3,629
4,409 2,870
3,190 3,600
4,450 3,047
4,966 3,789
18 3,629
3,352 4,082
3,190 2,949
3,351 2,445
3,417 3,789
19 2,283
2,221 4,082
2,331 3,600
4,450 3,047
3,417 2,518
20 3,629
4,409 4,082
3,906 3,600
4,450 4,068
3,417 3,789
21 3,629
2,221 4,082
3,906 3,600
2,091 3,047
3,417 3,789
22 2,283
4,409 2,870
3,906 3,600
4,450 4,068
3,417 3,789
23 2,283
2,221 4,082
2,331 3,600
4,450 3,047
3,417 2,518
24 3,629
2,221 4,082
2,331 3,600
4,450 3,047
3,417 2,518
25 3,629
2,221 4,082
2,331 3,600
4,450 3,047
3,417 2,518
26 2,283
2,221 2,870
2,331 3,600
4,450 3,047
3,417 2,518
27 3,629
3,352 4,082
3,906 3,600
4,450 4,068
4,966 3,789
28 3,629
2,221 2,124
3,190 2,949
4,450 4,068
1,794 2,518
29 3,629
2,221 2,870
3,906 3,600
2,091 4,068
3,417 2,518
30 3,629
2,835 1,746
3,906 3,600
3,351 1,926
3,417 3,789
31 3,629
1,000 2,870
2,331 2,254
4,450 4,068
4,966 4,784
32 2,283
3,352 1,746
2,331 3,600
3,351 2,445
3,417 3,789
33 3,629
3,352 4,082
3,190 2,949
3,351 2,445
4,966 4,784
34 3,629
2,221 2,870
3,906 2,254
3,351 1,926
3,417 3,789
35 2,283
2,221 2,870
3,906 2,254
3,351 1,926
3,417 3,789
36 2,283
2,221 2,870
3,906 2,254
2,091 1,926
3,417 3,789
37 3,629
2,221 4,082
3,906 3,600
4,450 3,047
3,417 3,789
Universitas Sumatera Utara
38 3,629
3,352 4,082
3,906 3,600
3,351 4,068
3,417 3,789
39 3,629
2,221 2,870
2,331 2,254
2,091 2,445
2,244 4,784
40 3,629
2,221 1,000
1,000 1,000
1,000 1,926
3,417 2,518
41 2,283
2,221 1,000
2,331 1,000
2,712 1,926
1,794 1,000
42 3,629
3,352 2,124
2,331 2,254
1,000 2,445
3,417 2,518
43 3,629
2,221 1,000
2,331 2,254
4,450 1,926
3,417 2,518
44 2,283
3,352 1,000
3,906 3,600
2,091 1,000
3,417 3,789
45 2,283
2,221 2,124
2,331 4,730
3,351 1,926
1,794 2,518
46 2,283
4,409 1,000
3,906 4,730
3,351 3,047
4,966 4,784
47 2,283
4,409 1,000
3,906 4,730
3,351 3,047
4,966 4,784
48 3,629
2,221 1,000
2,331 3,600
2,091 1,000
3,417 2,518
49 2,283
3,352 2,870
3,906 1,000
2,091 1,000
3,417 2,518
50 2,283
3,352 2,870
2,331 2,254
2,091 1,000
3,417 2,518
51 3,629
4,409 4,082
3,906 3,600
3,351 2,445
2,244 3,789
52 3,629
4,409 1,746
2,331 2,254
3,351 1,926
3,417 2,518
53 3,629
4,409 2,870
3,190 4,730
4,450 3,047
3,417 3,789
54 3,629
4,409 2,124
3,906 2,254
3,351 3,047
4,966 3,789
55 2,283
3,352 4,082
1,000 3,600
2,091 1,926
2,244 2,518
56 1,000
2,221 2,870
2,331 2,254
4,450 1,926
3,417 2,518
57 2,283
3,352 2,870
2,331 2,254
2,091 1,926
3,417 2,518
58 3,629
4,409 2,870
2,331 2,254
3,351 1,000
3,417 3,277
59 2,283
3,352 2,870
2,331 1,000
3,351 1,926
3,417 2,518
60 3,629
4,409 2,870
3,190 2,254
2,091 1,926
3,417 2,518
61 3,629
4,409 2,870
3,906 2,254
3,351 1,000
3,417 2,518
62 2,283
3,352 2,870
2,331 2,254
4,450 2,445
3,417 2,518
63 3,629
4,409 2,870
3,190 2,254
2,712 1,926
3,417 3,789
64 3,629
4,409 2,870
2,331 2,254
3,351 1,926
3,417 3,789
65 2,283
3,352 2,870
2,331 2,254
2,091 1,926
3,417 2,518
66 3,629
4,409 2,870
2,331 2,254
2,091 1,926
3,417 2,518
67 1,000
2,221 2,870
2,331 2,254
3,351 1,000
3,417 2,518
68 1,576
2,835 2,870
3,190 2,254
2,712 3,047
3,417 2,518
69 1,576
2,835 2,870
3,190 2,254
2,091 1,000
3,417 3,277
70 1,000
2,221 2,870
3,190 1,000
3,351 1,000
3,417 2,518
71 2,283
3,352 2,870
3,906 2,949
2,712 3,047
3,417 3,277
72 1,000
2,221 2,124
3,190 2,254
3,351 3,047
3,417 2,518
73 1,576
2,221 2,870
3,906 3,600
2,712 0,000
0,000 0,000
74 1,000
4,409 2,870
2,331 2,254
3,351 2,445
3,417 3,277
75 3,629
3,352 4,082
3,190 3,600
3,351 1,000
3,417 2,518
76 2,283
3,352 2,870
3,190 4,730
4,450 3,047
3,417 3,789
77 3,629
3,352 2,124
3,190 3,600
3,351 1,000
3,417 2,518
Universitas Sumatera Utara
78 3,629
3,352 2,870
3,190 3,600
4,450 1,000
1,794 2,518
79 1,576
3,352 4,082
3,906 4,730
4,450 4,068
4,966 4,784
80 2,283
4,409 4,082
3,906 3,600
3,351 3,047
3,417 3,789
81 3,629
2,835 2,870
4,981 3,600
4,450 4,068
3,417 3,789
82 3,629
3,352 2,870
3,906 2,949
3,351 4,068
4,966 4,784
83 3,629
3,352 1,746
2,331 2,949
2,712 3,047
4,966 4,784
84 3,629
3,352 2,870
4,981 2,949
4,450 4,068
4,966 3,277
85 3,629
3,352 2,124
3,190 4,730
3,351 3,047
2,244 3,277
86 2,283
3,352 2,124
4,981 3,600
4,450 4,068
3,417 3,277
87 3,629
3,352 2,870
4,981 4,730
3,351 3,047
2,244 3,277
88 3,629
4,409 2,870
4,981 3,600
2,712 3,047
4,966 4,784
89 3,629
3,352 2,870
4,981 4,730
3,351 2,445
2,244 3,277
90 3,629
4,409 2,870
3,906 2,949
2,712 4,068
3,417 3,789
91 3,629
3,352 1,746
2,331 2,254
2,712 2,445
3,417 4,784
92 1,000
2,835 2,870
2,331 2,949
1,000 3,047
1,000 3,277
93 3,629
4,409 2,870
3,190 4,730
3,351 3,047
4,966 4,784
94 3,629
3,352 4,082
3,906 2,949
2,712 3,047
3,417 3,789
95 2,283
2,221 1,746
2,331 2,254
3,351 3,047
3,417 3,789
96 3,629
3,352 2,870
2,331 3,600
3,351 3,047
3,417 3,789
97 3,629
2,221 1,000
2,331 2,254
3,351 3,047
3,417 3,789
98 3,629
2,221 1,000
2,331 3,600
2,091 1,000
3,417 4,784
99 3,629
1,000 1,746
2,331 2,254
1,000 1,000
3,417 4,784
100 2,283
2,221 1,746
2,331 2,254
2,091 1,926
1,794 4,784
Universitas Sumatera Utara
Lampiran 3 Hasil Output SPSS
Case Processing Summary
N Cases
Valid 100
100.0 Excluded
a
.0 Total
100 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbachs Alpha Cronbachs Alpha
Based on Standardized Items
N of Items .714
.710 9
Item Statistics
Mean Std. Deviation
N VAR00001
2.9853 .84835
100 VAR00002
3.0627 .94112
100 VAR00003
2.7093 .93990
100 VAR00004
3.0628 .94647
100 VAR00005
3.0629 .94466
100 VAR00006
3.1542 .94623
100 VAR00007
2.4582 .98305
100 VAR00008
3.3828 .93165
100 VAR00009
3.3828 .98779
100
Universitas Sumatera Utara
Item-Total Statistics
Scale Mean if Item Deleted
Scale Variance if Item Deleted
Corrected Item- Total Correlation
Squared Multiple Correlation
Cronbachs Alpha if Item
Deleted VAR00001
24.2757 19.639
.197 .102
.720 VAR00002
24.1984 18.045
.364 .192
.693 VAR00003
24.5517 18.599
.291 .168
.707 VAR00004
24.1983 16.942
.514 .319
.665 VAR00005
24.1982 17.591
.424 .285
.682 VAR00006
24.1068 17.894
.381 .296
.690 VAR00007
24.8029 16.304
.576 .408
.651 VAR00008
23.8782 18.209
.348 .229
.696 VAR00009
23.8783 17.649
.388 .299
.689
Scale Statistics
Mean Variance
Std. Deviation N of Items
27.2611 21.842
4.67350 9
Communalities
Initial Extraction
VAR00001 1.000
.522 VAR00002
1.000 .286
VAR00003 1.000
.475 VAR00004
1.000 .519
VAR00005 1.000
.721 VAR00006
1.000 .567
VAR00007 1.000
.602 VAR00008
1.000 .806
VAR00009 1.000
.643
Universitas Sumatera Utara
KMO and Bartletts Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .721
Bartletts Test of Sphericity Approx. Chi-Square
150.262 df
36 Sig.
.000
Component Transformation Matrix
Compo nent
1 2
3 1
.784 .522
.337 2
-.618 .713
.331 3
.067 .467
-.881
Component Matrix
a
Component 1
2 3
VAR00001 .294
.578 .319
VAR00002 .519
.131 .012
VAR00003 .457
-.515 -.012
VAR00004 .690
-.121 .168
VAR00005 .597
-.132 .589
VAR00006 .569
-.460 -.180
VAR00007 .742
-.086 -.209
VAR00008 .497
.337 -.668
VAR00009 .540
.590 .051
Extraction Method: Principal Component Analysis.
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Component Matrix
a
Component 1
2 3
VAR00001 .294
.578 .319
VAR00002 .519
.131 .012
VAR00003 .457
-.515 -.012
VAR00004 .690
-.121 .168
VAR00005 .597
-.132 .589
VAR00006 .569
-.460 -.180
VAR00007 .742
-.086 -.209
VAR00008 .497
.337 -.668
VAR00009 .540
.590 .051
Extraction Method: Principal Component Analysis. a. 3 components extracted.
Rotated Component Matrix
a
Component 1
2 3
VAR00001 -.105
.714 .009
VAR00002 .327
.370 .207
VAR00003 .676
-.134 -.006
VAR00004 .627
.352 .044
VAR00005 .589
.493 -.362
VAR00006 .718
-.116 .198
VAR00007 .621
.228 .406
VAR00008 .136
.188 .868
VAR00009 .062
.727 .333
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser
Normalization. a. Rotation converged in 6 iterations.
Universitas Sumatera Utara
Universitas Sumatera Utara
Total Variance Explained
Compon ent
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 2.810
31.220 31.220
2.810 31.220
31.220 2.237
24.855 24.855
2 1.329
14.770 45.990
1.329 14.770
45.990 1.662
18.462 43.317
3 1.003
11.142 57.132
1.003 11.142
57.132 1.243
13.815 57.132
4 .944
10.489 67.621
5 .781
8.676 76.297
6 .687
7.635 83.932
7 .556
6.180 90.111
8 .496
5.509 95.620
9 .394
4.380 100.000
Extraction Method: Principal Component Analysis.
Universitas Sumatera Utara
Inter-Item Correlation Matrix
VAR00001 VAR00002
VAR00003 VAR00004
VAR00005 VAR00006
VAR00007 VAR00008
VAR00009 VAR00001
1.000 .102
-.005 .077
.174 -.005
.135 .154
.278 VAR00002
.102 1.000
.162 .375
.184 .159
.172 .225
.253 VAR00003
-.005 .162
1.000 .288
.214 .276
.295 .094
-.007 VAR00004
.077 .375
.288 1.000
.383 .261
.381 .205
.253 VAR00005
.174 .184
.214 .383
1.000 .314
.328 .010
.268 VAR00006
-.005 .159
.276 .261
.314 1.000
.456 .198
.031 VAR00007
.135 .172
.295 .381
.328 .456
1.000 .351
.347 VAR00008
.154 .225
.094 .205
.010 .198
.351 1.000
.320 VAR00009
.278 .253
-.007 .253
.268 .031
.347 .320
1.000
Universitas Sumatera Utara
Anti-image Covariance VAR00001
.898 -.024
.021 .033
-.108 .057
-.024 -.074
-.140 VAR00002
-.024 .808
-.060 -.205
-.012 -.053
.063 -.095
-.112 VAR00003
.021 -.060
.832 -.112
-.060 -.076
-.117 -.005
.110 VAR00004
.033 -.205
-.112 .681
-.168 -.011
-.107 -.042
-.040 VAR00005
-.108 -.012
-.060 -.168
.715 -.153
-.060 .162
-.136 VAR00006
.057 -.053
-.076 -.011
-.153 .704
-.225 -.083
.136 VAR00007
-.024 .063
-.117 -.107
-.060 -.225
.592 -.140
-.161 VAR00008
-.074 -.095
-.005 -.042
.162 -.083
-.140 .771
-.159 VAR00009
-.140 -.112
.110 -.040
-.136 .136
-.161 -.159
.701 Anti-image Correlation
VAR00001 .713
a
-.029 .024
.043 -.134
.072 -.033
-.089 -.177
VAR00002 -.029
.742
a
-.073 -.276
-.015 -.070
.091 -.121
-.149 VAR00003
.024 -.073
.779
a
-.149 -.078
-.099 -.167
-.006 .144
VAR00004 .043
-.276 -.149
.783
a
-.240 -.015
-.168 -.058
-.058 VAR00005
-.134 -.015
-.078 -.240
.707
a
-.215 -.092
.218 -.192
VAR00006 .072
-.070 -.099
-.015 -.215
.685
a
-.349 -.113
.194 VAR00007
-.033 .091
-.167 -.168
-.092 -.349
.736
a
-.207 -.250
VAR00008 -.089
-.121 -.006
-.058 .218
-.113 -.207
.690
a
-.216 VAR00009
-.177 -.149
.144 -.058
-.192 .194
-.250 -.216
.657
a
a. Measures of Sampling AdequacyMSA
Universitas Sumatera Utara
LAMPIRAN 4 A. PERHITUNGAN ANALISIS FAKTOR MENGGUNAKAN MATRIKS
MATRIKS KORELASI SEDERHANA
1 2
3 4
5 6
7 8
9 1
1 0,102
-0,005 0,077
0,174 -0,005
0,135 0,154
0,278 2
0,102 1
0,162 0,375
0,184 0,159
0,172 0,225
0,253 3
-0,005 0,162
1 0,288
0,214 0,276
0,295 0,094
-0,007 4
0,077 0,375
0,288 1
0,383 0,261
0,381 0,205
0,253 =
5 0,174
0,184 0,214
0,383 1
0,314 0,328
0,01 0,268
6 -0,005
0,159 0,276
0,261 0,314
1 0,456
0,198 0,031
7 0,135
0,172 0,295
0,381 0,328
0,456 1
0,351 0,347
8 0,154
0,225 0,094
0,205 0,01
0,198 0,351
1 0,32
9 0,278
0,253 -0,007
0,253 0,268
0,031 0,347
0,32 1
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Dengan bantuan software MATLAB Matrix Laboratory, didapat nilai karakteristik eigen value dan vektor karakteristik eigen vector dari matrik korelasi sederhana
.
MATRIKS EIGEN VALUE L
1 2
3 4
5 6
7 8
9 1
2,8095 0,0000
0,0000 0,0000
0,0000 0,0000
0,0000 0,0000
0,0000 2
0,0000 1,3296
0,0000 0,0000
0,0000 0,0000
0,0000 0,0000
0,0000 3
0,0000 0,0000
1,0023 0,0000
0,0000 0,0000
0,0000 0,0000
0,0000 4
0,0000 0,0000
0,0000 0,9447
0,0000 0,0000
0,0000 0,0000
0,0000 =
5 0,0000
0,0000 0,0000
0,0000 0,7808
0,0000 0,0000
0,0000 0,0000
6 0,0000
0,0000 0,0000
0,0000 0,0000
0,6870 0,0000
0,0000 0,0000
7 0,0000
0,0000 0,0000
0,0000 0,0000
0,0000 0,5563
0,0000 0,0000
8 0,0000
0,0000 0,0000
0,0000 0,0000
0,0000 0,0000
0,4960 0,0000
9 0,0000
0,0000 0,0000
0,0000 0,0000
0,0000 0,0000
0,0000 0,3938
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MATRIKS EIGEN VEKTOR V
1 2
3 4
5 6
7 8
9 1
-0,0340 -0,1322
-0,1696 0,3201
0,5965 0,3327
0,3197 0,5006
0,01753 2
0,2317 -0,0978
-0,3443 0,4299
0,0702 -0,7211
0,0100 0,1125
0,3096 3
-0,1222 0,1002
-0,2702 0,4296
0,6621 -0,0682
-0.0122 -0,4470 0,2729
4 0,2535
-0,1700 0,7341
0,1608 -0,0998
-0,3521 0,1668
-0,1056 0,4113
= 5
0,2711 0,5836
-0,0732 0,0106
-0,2573 0,1675
0,5883 -0,1146
0,3562 6
-0,4835 -0,0639
-0,1336 0,5607
-0,1501 0,3175
-0,1797 -0,3992 0,3390
7 0,5915
-0,5016 -0,0166
-0,1613 -0,1285
0,3330 -0,2078
-0,0741 0,4429
8 0,0762
0,5698 0,2088
0,0049 0,0815
0,0220 0,6674
0,2925 0,2962
9 -0,3226
-0,1141 -0,4022
-0,4022 -0,2810
0,0217 0,0517
0,0513 0,3226
Matriks loading factor diperoleh dengan mengalikan matriks eigen vector dengan akar dari matriks eigen value. Atau dalam
persamaan matematis ditulis √ .
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AKAR DARI MATRIKS EIGEN VALUE √
1 2
3 4
5 6
7 8
9 1
1,6761 0,0000
0,0000 0,0000
0,0000 0,0000
0,0000 0,0000
0,0000 2
0,0000 1,1531
0,0000 0,0000
0,0000 0,0000
0,0000 0,0000
0,0000 3
0,0000 0,0000
1,0011 0,0000
0,0000 0,0000
0,0000 0,0000
0,0000 4
0,0000 0,0000
0,0000 0,9720
0,0000 0,0000
0,0000 0,0000
0,0000 √ = 5
0,0000 0,0000
0,0000 0,0000
0,8836 0,0000
0,0000 0,0000
0,0000 6
0,0000 0,0000
0,0000 0,0000
0,0000 0,8299
0,0000 0,0000
0,0000 7
0,0000 0,0000
0,0000 0,0000
0,0000 0,0000
0,7458 0,0000
0,0000 8
0,0000 0,0000
0,0000 0,0000
0,0000 0,0000
0,0000 0,7043
0,0000 9
0,0000 0,0000
0,0000 0,0000
0,0000 0,0000
0,0000 0,0000
0,66275
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MATRIKS LOADING FACTOR
1 2
3 4
5 6
7 8
9 1
0,2939 0,5773
0,3201 0,3234 0,5271
0,2653 0,1265
-0,0931 -0,0213
2 0,5189
0,1297 0,0101 -0,7008
-0,0620 0,3563
-0,2568 -0,688
0,1454 3
0,4574 -0,5155
-0,0123 -0,0663 0,5851
-0,3561 -0,2015
0,0706 -0,0767
4 0,6894
0,1218 0,1670 -0,3442
-0,0882 -0,1333
0,5475 -0,1197
-0,1591 =
5
0,5970 -0,1322
0,5890 0,1628 -0,2274
0,0088 -0,0546
0,4110 0,1701
6 0,5683
-0,4603 -0,1799 0,3086
0,1326 0,4648
-0,0997 0,2969
-0,3034 7
0,7424 -0,0855
-0,2080 0,3237 -0,1135
-0,1337 -0,0124
-0,0450 0,7424
8 0,4965
0,3376 -0,6682 0,0214
0,0720 0,0041
0,1557 -0,3533
0,4965 9
0,5407 0,5905
0,0518 0,0210 -0,2483
-0,3334 -03109
0,4013 0,5407
Keterangan : Angka yang dicetak tebal adalah nilai factor loading yang memiliki eigen value lebih besar dari satu.
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Matriks Rotated Factor Loading diperoleh dengan mengalikan matriks factor loading dengan matriks transformasi Component Transformation Matrix. Atau dalam persamaan matematis ditulis sebagai :
.
1 2
3 1
0,7840 0,5220
0,3370
=
2
-0,6180 0,7130
0,3310
3
0,670 0,4670
-0,8810
0,2939 0,5773
0,3201 -0,105
0,714 0,009
0,5189 0,1297
0,0101 0,327
0,370 0,207
0,4574 -0,5155
-0,0123 0,676
-0,134 -0,006
0,6894 0,1218
0,1670 0,627
0,352 0,044
0,5970 -0,1322
0,5890 0,7840
0,5220 0,3370
0,587 0,493
-0,362
=
0,5683 -0,4603
-0,1799 -0,6180
0,7130 0,3310
0,718 -0,116
0,198 0,7424
-0,0855 -0,2080
0,670 0,4670
-0,8810 0,621
0,228 0,406
0,4965 0,3376
-0,6682 0,136
0,118 0,868
0,5407 0,5905
0,0518 0,623
0,727 0.333
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B. PERHITUNGAN DAN