Pca Analysis
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Turkish Data Rotated Component Matrix(a) Component 1 VAR037 VAR038
,805 ,693
2 -,076 -,087
VAR036
,629
VAR031
,618
VAR033
,606
VAR030
,530
VAR039
3 ,206 ,275
4 -,009 -,041
-,205
,224
,023
-,124
-,184 ,084
,503
,329
,295
VAR032
-,050
,662
,054
VAR011
-,212
,584
-,319
VAR014
-,089
,576
-,048
VAR012
-,116
,560
-,084
VAR025
,217
,446
VAR013
-,097
VAR010
-,138
VAR020 VAR019
5 ,039 -,034
6 -,026 -,021
7
,024
-,033
,010
-,090
,217
,089
,021
-,022
-,113
,088
-,218
-,044
-,306
-,122
,370
-,276
-,106
-,277
-,018
-,244
,140
,131
,043
,041
-,004
,039
-,101
-,119
,142
,138
-,043
,350
,447
,035
-,011
-,072
,338
,183
,188
-,307
,275
-,231
,042
,444
-,099
-,176
,435
,330
-,049
,409
-,361
,009
,197
,199
-,158
,058
-,084
,668
,078
,028
-,003
-,258
,215
-,100
,668
,054
-,011
-,037
,105
-,043 -,102
VAR017
,115
,136
,667
,196
-,080
-,095
-,092
VAR018
-,132
-,414
,474
,076
,148
,069
-,246
VAR024
,042
,004
,004
,768
,016
,102
-,064
VAR022
,048
,039
,276
,716
,056
,030
-,037
VAR029
,165
-,144
,126
,550
,230
-,140
-,406
VAR026
,199
-,293
,371
,511
,238
,075
,225
VAR035
-,132
,176
-,133
-,021
,757
-,065
-,038
VAR034
-,005
,008
,017
,222
,752
,077
,017
VAR028
-,016
-,209
,182
,074
,496
-,015
,337
VAR015
-,005
,176
-,003
,018
,002
,828
-,044
VAR016
-,008
,112
-,076
,101
,019
,818
-,001
VAR023
,207
-,260
,019
,366
-,002
,373
,211
VAR021
-,165
,234
-,162
-,014
,036
-,133
,636
VAR027
-,368 ,038 -,154 -,148 ,099 ,147 ,609 Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. a Rotation converged in 13 iterations.
PCA 1: Hardcore feminist PCA 2: Hairhead lady- sale assistant selling perfume, or make-up PCA 3: Recognition of inferior power PCA 4: Women – body type / offended by the streotypes presented PCA 5: Progressist group / check this group in ukraine data – freedom fighters
PCA 6: Men are equal to depicted men in the advertisements PCA 7: Dot mind group
Analysis of Ukraine data Rotated Component Matrix(a) Component VAR038 VAR030
1 ,795 ,722
2 -,047 -,013
VAR033
,701
VAR037
,682
VAR031
3
4
5
6
7
,083 -,049
,058 -,004
,060 -,007
,012 -,026
,154 -,392
-,222
,011
,083
-,041
-,056
-,065
-,050
,180
,120
,151
,113
,198
,669
-,164
,014
,055
-,068
,136
-,061
VAR039
,626
-,001
,061
,033
-,034
,104
,322
VAR029
,531
,137
-,043
-,089
,415
,266
,097
VAR027
-,519
,187
,199
,490
-,065
-,069
-,073
VAR034
-,025
,707
-,004
,203
-,015
,029
,120
VAR035
-,140
,699
-,055
,110
-,053
,089
-,104
VAR032
-,266
,652
-,018
,049
,211
-,049
-,019
VAR013
-,057
,550
,321
,167
-,181
-,016
-,142
VAR018
-,006
,451
,182
-,163
,035
-,150
,326
VAR015
,066
-,027
,800
,108
-,127
-,019
,025
VAR016
-,032
-,017
,785
,099
-,021
,216
,034
VAR012
,052
,191
,665
-,045
-,133
-,013
-,181
VAR022
,108
-,108
-,049
,722
,060
,274
,210
VAR026
,039
,291
,015
,565
,183
-,095
-,116
VAR028
,129
,172
,184
,534
,038
,056
,081
VAR014
,023
,403
,127
,516
-,385
-,271
-,035
VAR017
-,047
,052
-,149
,182
,652
-,041
-,008
VAR010
,000
,355
,222
,087
-,481
,067
-,080
VAR020
,338
,068
-,203
,160
,453
,143
-,134
VAR019
,137
,079
,258
-,001
,449
,053
,327
VAR011
,104
,089
,440
,122
-,442
-,030
,047
VAR024
,289
-,024
,032
,201
-,093
,746
,020
VAR023
,318
,064
,164
,103
,042
,717
,043
VAR025
,323
,050
,002
,288
-,152
-,629
-,022
VAR036
,150
-,012
,012
,189
,219
-,045
,711
VAR021
,017 ,047 ,304 ,044 ,230 -,168 -,632 Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. a Rotation converged in 10 iterations.
,805 ,693
2 -,076 -,087
VAR036
,629
VAR031
,618
VAR033
,606
VAR030
,530
VAR039
3 ,206 ,275
4 -,009 -,041
-,205
,224
,023
-,124
-,184 ,084
,503
,329
,295
VAR032
-,050
,662
,054
VAR011
-,212
,584
-,319
VAR014
-,089
,576
-,048
VAR012
-,116
,560
-,084
VAR025
,217
,446
VAR013
-,097
VAR010
-,138
VAR020 VAR019
5 ,039 -,034
6 -,026 -,021
7
,024
-,033
,010
-,090
,217
,089
,021
-,022
-,113
,088
-,218
-,044
-,306
-,122
,370
-,276
-,106
-,277
-,018
-,244
,140
,131
,043
,041
-,004
,039
-,101
-,119
,142
,138
-,043
,350
,447
,035
-,011
-,072
,338
,183
,188
-,307
,275
-,231
,042
,444
-,099
-,176
,435
,330
-,049
,409
-,361
,009
,197
,199
-,158
,058
-,084
,668
,078
,028
-,003
-,258
,215
-,100
,668
,054
-,011
-,037
,105
-,043 -,102
VAR017
,115
,136
,667
,196
-,080
-,095
-,092
VAR018
-,132
-,414
,474
,076
,148
,069
-,246
VAR024
,042
,004
,004
,768
,016
,102
-,064
VAR022
,048
,039
,276
,716
,056
,030
-,037
VAR029
,165
-,144
,126
,550
,230
-,140
-,406
VAR026
,199
-,293
,371
,511
,238
,075
,225
VAR035
-,132
,176
-,133
-,021
,757
-,065
-,038
VAR034
-,005
,008
,017
,222
,752
,077
,017
VAR028
-,016
-,209
,182
,074
,496
-,015
,337
VAR015
-,005
,176
-,003
,018
,002
,828
-,044
VAR016
-,008
,112
-,076
,101
,019
,818
-,001
VAR023
,207
-,260
,019
,366
-,002
,373
,211
VAR021
-,165
,234
-,162
-,014
,036
-,133
,636
VAR027
-,368 ,038 -,154 -,148 ,099 ,147 ,609 Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. a Rotation converged in 13 iterations.
PCA 1: Hardcore feminist PCA 2: Hairhead lady- sale assistant selling perfume, or make-up PCA 3: Recognition of inferior power PCA 4: Women – body type / offended by the streotypes presented PCA 5: Progressist group / check this group in ukraine data – freedom fighters
PCA 6: Men are equal to depicted men in the advertisements PCA 7: Dot mind group
Analysis of Ukraine data Rotated Component Matrix(a) Component VAR038 VAR030
1 ,795 ,722
2 -,047 -,013
VAR033
,701
VAR037
,682
VAR031
3
4
5
6
7
,083 -,049
,058 -,004
,060 -,007
,012 -,026
,154 -,392
-,222
,011
,083
-,041
-,056
-,065
-,050
,180
,120
,151
,113
,198
,669
-,164
,014
,055
-,068
,136
-,061
VAR039
,626
-,001
,061
,033
-,034
,104
,322
VAR029
,531
,137
-,043
-,089
,415
,266
,097
VAR027
-,519
,187
,199
,490
-,065
-,069
-,073
VAR034
-,025
,707
-,004
,203
-,015
,029
,120
VAR035
-,140
,699
-,055
,110
-,053
,089
-,104
VAR032
-,266
,652
-,018
,049
,211
-,049
-,019
VAR013
-,057
,550
,321
,167
-,181
-,016
-,142
VAR018
-,006
,451
,182
-,163
,035
-,150
,326
VAR015
,066
-,027
,800
,108
-,127
-,019
,025
VAR016
-,032
-,017
,785
,099
-,021
,216
,034
VAR012
,052
,191
,665
-,045
-,133
-,013
-,181
VAR022
,108
-,108
-,049
,722
,060
,274
,210
VAR026
,039
,291
,015
,565
,183
-,095
-,116
VAR028
,129
,172
,184
,534
,038
,056
,081
VAR014
,023
,403
,127
,516
-,385
-,271
-,035
VAR017
-,047
,052
-,149
,182
,652
-,041
-,008
VAR010
,000
,355
,222
,087
-,481
,067
-,080
VAR020
,338
,068
-,203
,160
,453
,143
-,134
VAR019
,137
,079
,258
-,001
,449
,053
,327
VAR011
,104
,089
,440
,122
-,442
-,030
,047
VAR024
,289
-,024
,032
,201
-,093
,746
,020
VAR023
,318
,064
,164
,103
,042
,717
,043
VAR025
,323
,050
,002
,288
-,152
-,629
-,022
VAR036
,150
-,012
,012
,189
,219
-,045
,711
VAR021
,017 ,047 ,304 ,044 ,230 -,168 -,632 Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. a Rotation converged in 10 iterations.
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