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Особенности осознания собственных поступков старшеклассниками с разной репрезентацией причинности в сознании (стр. 22 из 23)

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Initial Extraction
VAR00001 1,000 ,547
VAR00002 1,000 ,525
VAR00003 1,000 ,602
VAR00004 1,000 ,504
VAR00005 1,000 ,792
VAR00006 1,000 ,782
VAR00007 1,000 ,576
VAR00008 1,000 ,640
VAR00009 1,000 ,916
VAR00010 1,000 ,775
VAR00011 1,000 ,499
VAR00012 1,000 ,831
VAR00013 1,000 ,856
VAR00014 1,000 ,720
VAR00015 1,000 ,873
VAR00016 1,000 ,576
VAR00017 1,000 ,535
VAR00018 1,000 ,541
VAR00019 1,000 ,597
VAR00020 1,000 ,646
VAR00021 1,000 ,556
Extraction Method: Principal Component Analysis.
Total Variance Explained
Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings
Component Total % of Variance Cumulative % Total % of Variance Cumulative % Total % of Variance Cumulative %
1 2 3 4 5 6 7 8 9 10
1 7,297 34,746 34,746 7,297 34,746 34,746 4,264 20,305 20,305
2 1,546 7,362 42,108 1,546 7,362 42,108 3,863 18,394 38,699
3 1,400 6,666 48,773 1,400 6,666 48,773 1,514 7,211 45,910
4 1,328 6,323 55,096 1,328 6,323 55,096 1,514 7,208 53,118
1 2 3 4 5 6 7 8 9 10
5 1,227 5,844 60,941 1,227 5,844 60,941 1,415 6,737 59,855
6 1,094 5,211 66,151 1,094 5,211 66,151 1,322 6,296 66,151
7 ,988 4,707 70,858
8 ,917 4,365 75,224
9 ,829 3,946 79,169
10 ,796 3,792 82,962
11 ,743 3,537 86,499
12 ,641 3,054 89,553
13 ,594 2,827 92,380
14 ,470 2,236 94,616
15 ,316 1,503 96,119
16 ,297 1,412 97,532
17 ,235 1,118 98,650
18 ,184 ,874 99,524
19 6,613E-02 ,315 99,839
20 3,388E-02 ,161 100,000
21 6,631E-16 3,158E-15 100,000
Extraction Method: Principal Component Analysis.
Component Matrix(a)
Component
1 2 3 4 5 6
1 2 3 4 5 6 7
VAR00001 ,664 7,775E-02 ,169 -8,058E-02 ,253 -3,738E-02
VAR00002 ,629 5,068E-02 ,168 -,100 ,103 ,280
VAR00003 ,664 -,225 5,788E-02 ,164 7,011E-02 ,274
VAR00004 ,659 6,549E-02 9,113E-02 ,213 -9,142E-02 -5,099E-02
VAR00005 ,208 -2,307E-02 -,464 ,581 -,279 ,343
VAR00006 ,101 ,801 ,293 -,118 5,185E-02 -,168
VAR00007 -,722 -6,905E-02 -1,643E-02 ,152 ,166 -1,299E-02
VAR00008 ,646 -3,575E-02 -9,341E-02 ,126 -,333 -,293
VAR00009 -,168 6,588E-02 ,722 ,468 ,142 ,352
VAR00010 ,617 9,181E-02 -1,025E-02 -,363 ,124 ,488
VAR00011 ,664 -,143 -,132 8,953E-02 -,109 2,740E-03
VAR00012 5,313E-02 -,663 ,501 -,254 -,271 -2,915E-03
VAR00013 ,694 9,419E-02 5,213E-02 ,369 ,318 -,354
VAR00014 ,674 ,405 -,205 -3,678E-03 5,245E-03 ,246
VAR00015 ,290 -,400 -,198 ,191 ,734 -,116
1 2 3 4 5 6 7
VAR00016 -,719 1,643E-02 3,256E-02 ,146 -7,121E-02 ,177
VAR00017 -,658 ,130 ,137 ,242 -8,207E-02 -4,312E-02
VAR00018 -,698 5,085E-02 9,459E-03 2,304E-02 ,169 -,150
VAR00019 -,709 2,732E-02 4,447E-02 ,183 ,151 ,189
VAR00020 -,542 3,814E-04 -,290 -,364 ,302 ,211
VAR00021 -,699 9,283E-02 -,203 7,676E-02 -6,931E-02 8,903E-02
Extraction Method: Principal Component Analysis.
a 6 components extracted.
Rotated Component Matrix(a)
Component
1 2 3 4 5 6
VAR00001 ,529 ,377 ,112 ,263 4,139E-02 -,203
VAR00002 ,669 ,233 1,627E-02 7,656E-02 ,129 -1,875E-02
VAR00003 ,559 ,341 -,157 ,253 ,141 ,255
VAR00004 ,353 ,590 8,583E-02 7,767E-02 6,949E-02 ,113
VAR00005 5,109E-02 ,168 ,124 -9,088E-03 1,203E-02 ,864
VAR00006 ,101 ,162 ,649 -,299 ,172 -,453
VAR00007 -,563 -,477 -1,763E-02 6,731E-02 ,166 7,530E-03
VAR00008 ,193 ,720 -1,789E-02 -2,667E-02 -,254 ,137
VAR00009 -4,533E-02 -2,342E-02 -4,776E-02 -1,867E-02 ,954 -2,119E-02
VAR00010 ,878 -2,106E-02 4,020E-02 -1,742E-03 -4,614E-02 7,772E-03
VAR00011 ,407 ,479 -7,284E-02 ,143 -,163 ,228
VAR00012 7,776E-02 ,137 -,851 -,112 ,115 -,236
VAR00013 ,200 ,678 ,289 ,516 7,159E-02 -3,916E-02
VAR00014 ,637 ,275 ,433 -3,209E-02 -9,359E-02 ,202
VAR00015 ,126 2,271E-02 -4,584E-02 ,923 -4,574E-02 3,718E-02
VAR00016 -,475 -,483 -3,491E-02 -,207 ,241 ,122
VAR00017 -,581 -,267 7,477E-02 -,199 ,285 6,655E-03
VAR00018 -,562 -,431 7,161E-02 1,641E-02 7,732E-02 -,167
VAR00019 -,445 -,544 3,817E-02 -2,233E-02 ,310 7,602E-02
VAR00020 -9,790E-02 -,764 4,898E-02 5,787E-02 -,201 -8,246E-02
VAR00021 -,489 -,498 9,356E-02 -,189 4,718E-03 ,158
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.
a Rotation converged in 10 iterations.
Component Transformation Matrix
Component 1 2 3 4 5 6
1 2 3 4 5 6 7
1 2 3 4 5 6 7
1 ,710 ,661 ,049 ,195 -,118 ,067
2 ,070 ,009 ,898 -,387 ,106 -,167
3 ,049 ,208 -,274 -,182 ,735 -,554
4 -,392 ,360 ,190 ,262 ,508 ,595
5 ,133 -,345 ,271 ,820 ,169 -,296
6 ,563 -,520 -,081 -,194 ,385 ,469
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.

Факторный анализ данных сортировки объектов (причинных

Component Matrix(a)
Component
1 2 3 4 5
1 2 3 4 5 6
VAR00001 ,644 -,520 -1,197E-02 -2,472E-02 -1,165E-02
VAR00002 ,639 -,502 4,832E-02 6,839E-02 -,113
VAR00003 ,676 -,469 -4,554E-02 -2,291E-02 -9,702E-02
VAR00004 ,447 ,590 -3,449E-02 ,202 9,316E-02
VAR00005 5,767E-02 ,663 -,114 -,609 -,336
VAR00006 ,257 ,424 ,763 -,114 -4,664E-02
VAR00007 -,802 -,178 5,095E-03 9,113E-03 -,268
1 2 3 4 5 6
VAR00008 ,667 -,530 -1,654E-02 -7,423E-02 2,370E-02
VAR00009 -,211 ,404 ,217 ,544 -,579
VAR00010 ,206 ,681 ,127 -,366 ,278
VAR00011 ,617 -,533 -1,243E-02 4,385E-02 5,116E-02
VAR00012 ,142 ,671 2,835E-02 ,458 ,335
VAR00013 ,578 ,362 -,268 -,157 -,170
VAR00014 ,820 -7,710E-02 ,127 5,222E-02 ,270
VAR00015 ,180 ,497 -,686 ,171 -1,340E-02
VAR00016 -,813 -,190 4,440E-02 1,663E-02 9,738E-02
VAR00017 -,807 -,180 -3,146E-02 -8,709E-02 -,177
VAR00018 -,793 -,220 4,179E-03 -8,269E-02 7,513E-02
VAR00019 -,795 -,235 -6,502E-02 1,105E-02 ,114
VAR00020 -,805 5,500E-02 -2,089E-02 -2,218E-02 ,386
VAR00021 -,837 -,118 9,727E-03 -3,232E-03 9,390E-02
Extraction Method: Principal Component Analysis.
a 5 components extracted.
Rotated Component Matrix(a)
Component
1 2 3 4 5
VAR00001 -,810 -1,810E-02 -8,553E-02 -1,385E-02 -,149
VAR00002 -,817 -1,758E-02 -,107 2,026E-02 -3,977E-03
VAR00003 -,825 -2,479E-03 -8,199E-03 -4,328E-02 -7,996E-02
VAR00004 -3,474E-02 ,726 ,228 8,368E-03 ,136
VAR00005 ,252 8,516E-02 ,929 8,078E-02 9,448E-03
VAR00006 2,150E-03 ,323 ,214 ,817 ,159
VAR00007 ,511 -,636 -,162 -7,649E-02 ,321
VAR00008 -,827 -1,615E-02 -6,656E-02 -4,881E-03 -,210
VAR00009 ,270 ,110 1,397E-03 8,565E-02 ,891
VAR00010 ,253 ,518 ,484 ,300 -,283
VAR00011 -,784 1,239E-02 -,173 -3,032E-02 -,158
VAR00012 ,303 ,819 -9,679E-02 8,559E-03 ,146
VAR00013 -,309 ,405 ,552 -,159 3,428E-02
VAR00014 -,665 ,502 -3,000E-02 ,168 -,218
VAR00015 ,120 -,110 ,321 -,644 9,348E-02
VAR00016 ,584 -,493 -,348 -2,691E-02 -4,894E-02
VAR00017 ,533 -,637 -,133 -8,649E-02 8,864E-02
VAR00018 ,549 -,549 -,273 -4,549E-02 -,104
VAR00019 ,549 -,506 -,348 -,134 -9,206E-02
VAR00020 ,765 -,224 -,314 -4,565E-02 -,253
1 2 3 4 5 6
VAR00021 ,642 -,468 -,296 -5,080E-02 -4,764E-02

Component Transformation Matrix
Component 1 2 3 4 5
1 -,821 ,513 ,233 ,064 -,058
2 ,537 ,643 ,499 ,094 ,201
3 -,009 -,024 -,204 ,966 ,157
4 -,012 ,381 -,673 -,229 ,591
5 ,193 ,421 -,449 ,041 -,763
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.

Факторный анализ данных сортировки объектов (причинных объяснений ситуации) группы с высокой дифференцированностью репрезентации причинности