2. Variabel Minat Membaca X
2 Component Matrix
a
,481 -,660
,238 -,257
,085 ,256
,015 ,217
,461 -,382
,235 -,339
,114 -,350
,279 -,224
,475 ,618
,089 -,046
,203 ,077
-,412 -,068
,304 ,179
,619 -,291
,044 -,019
,303 ,380
,413 ,463
,271 ,510
,258 ,088
,164 -,186
,606 -,203
,593 ,050
-,102 ,179
-,052 -,078
,464 ,010
-,265 ,159
,305 ,263
,284 -,474
,527 -,351
,629 -,075
,180 -,150
,006 -,177
,559 -,428
-,401 -,033
,203 ,101
-,139 -,078
,382 -,013
-,138 ,329
-,549 ,388
,371 ,233
,543 -,580
,258 ,185
-,035 ,132
-,247 -,110
,490 -,009
-,088 ,281
,234 ,258
-,342 ,114
,739 ,239
-,012 ,045
-,042 -,233
,032 -,165
,487 ,628
,118 -,284
-,107 ,267
-,086 -,149
,712 -,081
-,308 -,301
-,349 -,159
,014 -,088
,660 ,055
-,215 -,137
-,219 -,396
-,332 ,059
,516 -,183
-,376 -,079
,250 ,162
-,154 ,259
,491 -,465
,035 ,560
,153 -,140
,004 ,282
,494 ,438
,304 ,079
-,272 ,017
-,193 ,218
,556 ,057
-,057 ,405
-,362 -,512
-,004 -,042
,755 -,064
-,334 ,123
-,156 ,043
,168 -,026
,595 -,168
-,368 -,247
,177 -,001
,389 ,132
,593 ,354
-,198 -,394
,286 -,026
-,070 ,186
,505 ,659
,018 -,103
-,153 ,211
,205 -,035
,078 ,523
-,033 ,270
,544 -,357
,225 ,263
X1.1 X1.2
X1.3 X1.4
X1.5 X1.6
X1.7 X1.8
X1.9 X1.10
X1.11 X1.12
X1.13 X1.14
X1.15 X1.16
X1.17 X1.18
X1.19 X1.20
X1.21 X1.22
X1.23 X1.24
X1.25 1
2 3
4 5
6 7
8 Component
Extraction Method: Principal Component Analysis. 8 components extracted.
a.
KMO and Bartletts Test
,715 1903,335
78 ,000
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Approx. Chi-Square df
Sig. Bartletts Test of
Sphericity
Anti-image Matrices
,241 -,057
,095 -,069
,017 -,021
,036 -,019
-,123 ,061
-,099 ,014
-,044 -,057
,254 ,012
,012 -,073
,102 -,050
-,037 -,044
-,067 -,014
-,069 -,039
,095 ,012
,192 -,160
,023 -,019
,012 -,037
-,081 ,032
-,066 ,027
-,024 -,069
,012 -,160
,237 -,005
,022 -,015
-,017 ,023
-,006 ,023
,014 -,038
,017 -,073
,023 -,005
,347 -,154
-,032 ,067
-,033 -,083
-,060 ,041
,038 -,021
,102 -,019
,022 -,154
,267 ,089
-,119 -,007
-,030 ,047
-,032 -,104
,036 -,050
,012 -,015
-,032 ,089
,436 -,169
,018 ,092
-,118 ,005
-,085 -,019
-,037 -,037
-,017 ,067
-,119 -,169
,229 ,021
-,065 -,025
-,063 ,138
-,123 -,044
-,081 ,023
-,033 -,007
,018 ,021
,164 -,071
,058 -,029
,057 ,061
-,067 ,032
-,006 -,083
-,030 ,092
-,065 -,071
,293 -,055
,025 -,051
-,099 -,014
-,066 ,023
-,060 ,047
-,118 -,025
,058 -,055
,487 -,036
,077 ,014
-,069 ,027
,014 ,041
-,032 ,005
-,063 -,029
,025 -,036
,330 -,146
-,044 -,039
-,024 -,038
,038 -,104
-,085 ,138
,057 -,051
,077 -,146
,208 ,731
a
-,232 ,443
-,291 ,060
-,083 ,111
-,079 -,620
,231 -,289
,050 -,196
-,232 ,840
a
,054 ,047
-,245 ,392
-,150 -,154
-,216 -,244
-,041 -,237
-,171 ,443
,054 ,608
a
-,752 ,089
-,085 ,042
-,175 -,460
,133 -,216
,107 -,119
-,291 ,047
-,752 ,716
a
-,016 ,089
-,047 -,072
,116 -,022
,068 ,051
-,172 ,060
-,245 ,089
-,016 ,799
a
-,505 -,082
,237 -,139
-,260 -,146
,122 ,143
-,083 ,392
-,085 ,089
-,505 ,672
a
,260 -,482
-,033 -,109
,129 -,107
-,440 ,111
-,150 ,042
-,047 -,082
,260 ,560
a
-,536 ,066
,257 -,256
,012 -,281
-,079 -,154
-,175 -,072
,237 -,482
-,536 ,613
a
,106 -,251
-,074 -,230
,634 -,620
-,216 -,460
,116 -,139
-,033 ,066
,106 ,766
a
-,324 ,206
-,123 ,311
,231 -,244
,133 -,022
-,260 -,109
,257 -,251
-,324 ,839
a
-,147 ,079
-,206 -,289
-,041 -,216
,068 -,146
,129 -,256
-,074 ,206
-,147 ,777
a
-,090 ,241
,050 -,237
,107 ,051
,122 -,107
,012 -,230
-,123 ,079
-,090 ,786
a
-,558 -,196
-,171 -,119
-,172 ,143
-,440 -,281
,634 ,311
-,206 ,241
-,558 ,582
a
X2.1 X2.2
X2.3 X2.4
X2.5 X2.6
X2.7 X2.8
X2.9 X2.10
X2.11 X2.12
X2.13 X2.1
X2.2 X2.3
X2.4 X2.5
X2.6 X2.7
X2.8 X2.9
X2.10 X2.11
X2.12 X2.13
Anti-image Covariance
Anti-image Correlation X2.1
X2.2 X2.3
X2.4 X2.5
X2.6 X2.7
X2.8 X2.9
X2.10 X2.11
X2.12 X2.13
Measures of Sampling AdequacyMSA a.
Communalities
1,000 ,680
1,000 ,800
1,000 ,916
1,000 ,871
1,000 ,726
1,000 ,664
1,000 ,816
1,000 ,732
1,000 ,814
1,000 ,767
1,000 ,697
1,000 ,843
1,000 ,911
X2.1 X2.2
X2.3 X2.4
X2.5 X2.6
X2.7 X2.8
X2.9 X2.10
X2.11 X2.12
X2.13 Initial
Extraction
Extraction Method: Principal Component Analysis.
Total Variance Explained
5,342 41,091
41,091 5,342
41,091 41,091
2,376 18,277
59,368 2,376
18,277 59,368
1,366 10,509
69,877 1,366
10,509 69,877
1,152 8,858
78,736 1,152
8,858 78,736
,793 6,102
84,838 ,449
3,456 88,294
,402 3,089
91,383 ,361
2,775 94,158
,240 1,848
96,006 ,186
1,427 97,433
,160 1,234
98,668 ,098
,753 99,421
,075 ,579
100,000 Component
1 2
3 4
5 6
7 8
9 10
11 12
13 Total
of Variance Cumulative
Total of Variance
Cumulative Initial Eigenvalues
Extraction Sums of Squared Loadings
Extraction Method: Principal Component Analysis.
Component Matrix
a
,777 -,130
-,226 ,092
,798 -,044
-,276 ,293
,571 ,424
,544 -,339
,610 ,310
,595 -,220
,701 -,259
-,331 -,243
,655 -,398
,177 -,213
,245 ,644
,117 ,573
,577 ,630
-,044 ,021
,858 -,014
-,176 -,216
,798 -,198
-,249 -,169
,457 ,627
-,268 ,153
,616 -,400
,226 ,503
,362 -,673
,466 ,333
X2.1 X2.2
X2.3 X2.4
X2.5 X2.6
X2.7 X2.8
X2.9 X2.10
X2.11 X2.12
X2.13 1
2 3
4 Component
Extraction Method: Principal Component Analysis. 4 components extracted.
a.
3. Variabel Kepercayaan Diri Z
Kategori