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Особенности осознания собственных поступков старшеклассниками с разной репрезентацией причинности в сознании (стр. 21 из 23)


Приложение № 6 - Факторный анализ данных сортировки объектов (причинных объяснений ситуации)

Факторный анализ данных сортировки объектов (причинных объяснений ситуации) общей группы

Communalities
Initial Extraction
1 2 3
VAR00001 1,000 ,625
1 2 3
VAR00002 1,000 ,625
VAR00003 1,000 ,627
VAR00004 1,000 ,598
VAR00005 1,000 ,929
VAR00006 1,000 ,835
VAR00007 1,000 ,764
VAR00008 1,000 ,679
VAR00009 1,000 ,780
VAR00010 1,000 ,687
VAR00011 1,000 ,637
VAR00012 1,000 ,795
VAR00013 1,000 ,629
VAR00014 1,000 ,690
VAR00015 1,000 ,825
VAR00016 1,000 ,681
VAR00017 1,000 ,695
VAR00018 1,000 ,636
VAR00019 1,000 ,634
VAR00020 1,000 ,739
VAR00021 1,000 ,656
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 8,028 38,229 38,229 8,028 38,229 38,229 6,541 31,147 31,147
2 2,926 13,932 52,162 2,926 13,932 52,162 3,331 15,861 47,008
3 1,485 7,069 59,231 1,485 7,069 59,231 1,849 8,803 55,811
4 1,300 6,191 65,422 1,300 6,191 65,422 1,558 7,421 63,231
5 1,027 4,892 70,314 1,027 4,892 70,314 1,487 7,082 70,314
6 ,831 3,959 74,273
7 ,743 3,538 77,811
8 ,639 3,041 80,853
9 ,579 2,757 83,610
10 ,536 2,551 86,160
11 ,511 2,433 88,594
12 ,476 2,265 90,859
13 ,430 2,046 92,904
1 2 3 4 5 6 7 8 9 10
14 ,409 1,949 94,853
15 ,353 1,682 96,535
16 ,302 1,439 97,974
17 ,221 1,052 99,026
18 ,132 ,626 99,652
19 7,207E-02 ,343 99,995
20 1,016E-03 4,840E-03 100,000
21 -1,184E-16 -5,639E-16 100,000
Extraction Method: Principal Component Analysis.
Rotated Component Matrix(a)
Component
1 2 3 4 5
VAR00001 ,766 7,115E-02 -,110 -,142 2,191E-02
VAR00002 ,778 3,249E-02 -,124 -2,621E-02 5,275E-02
VAR00003 ,783 -1,183E-02 5,020E-02 -9,507E-02 -4,467E-02
VAR00004 ,302 ,538 ,184 ,424 -5,644E-02
VAR00005 -,196 ,188 ,921 -6,508E-02 4,477E-02
VAR00006 -1,183E-02 ,334 ,247 ,157 ,799
VAR00007 -,528 -,685 -7,451E-02 ,104 -1,061E-02
VAR00008 ,799 3,146E-02 -2,275E-02 -,196 1,426E-02
VAR00009 -,241 -8,300E-02 2,423E-02 ,838 ,110
VAR00010 -,116 ,743 ,277 -,152 ,150
VAR00011 ,765 7,243E-02 -,116 -,170 -6,125E-02
VAR00012 -,194 ,620 -,180 ,545 -,207
VAR00013 ,421 ,254 ,551 ,187 -,223
VAR00014 ,683 ,444 1,261E-02 -6,075E-02 ,153
VAR00015 -4,091E-02 ,264 ,284 7,441E-02 -,817
VAR00016 -,637 -,406 -,300 -,119 7,180E-02
VAR00017 -,544 -,609 -,146 -2,584E-02 7,910E-02
VAR00018 -,593 -,440 -,256 -,157 2,534E-02
VAR00019 -,591 -,438 -,271 -,135 2,322E-02
VAR00020 -,741 -7,113E-02 -,279 -,327 -1,304E-02
VAR00021 -,629 -,461 -,182 -,102 6,548E-02
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.
a Rotation converged in 11 iterations.
Component Matrix(a)
Component
1 2 3 4 5
VAR00001 ,656 -,437 2,256E-02 3,492E-02 -3,084E-02
VAR00002 ,649 -,426 3,865E-02 ,140 3,780E-02
VAR00003 ,668 -,397 -5,764E-02 -2,276E-02 ,136
VAR00004 ,574 ,450 -3,543E-02 ,255 1,484E-03
VAR00005 ,111 ,614 7,541E-02 -,610 ,403
VAR00006 ,183 ,352 ,816 3,331E-02 ,100
VAR00007 -,787 -,152 -8,635E-02 7,640E-02 ,328
VAR00008 ,682 -,459 1,381E-02 -5,569E-02 3,155E-02
VAR00009 -,206 ,425 3,542E-02 ,640 ,381
VAR00010 ,303 ,565 ,251 -,293 -,357
VAR00011 ,656 -,447 -5,719E-02 9,958E-03 -5,677E-02
VAR00012 ,125 ,623 -,172 ,500 -,335
VAR00013 ,610 ,302 -,217 -,143 ,314
VAR00014 ,789 -8,631E-02 ,191 2,435E-02 -,154
VAR00015 ,179 ,384 -,783 -,171 -5,754E-02
VAR00016 -,807 -,136 4,957E-02 1,982E-02 -9,001E-02
VAR00017 -,789 -,191 2,259E-02 1,734E-02 ,190
VAR00018 -,777 -,170 1,693E-03 -3,489E-02 -5,451E-02
VAR00019 -,776 -,168 -2,107E-03 -8,226E-03 -5,558E-02
VAR00020 -,737 4,274E-02 2,507E-02 -,181 -,401
VAR00021 -,800 -,109 3,515E-02 -3,463E-02 2,570E-02
Extraction Method: Principal Component Analysis.
a 5 components extracted.
Component Transformation Matrix
Component 1 2 3 4 5
1 ,851 ,479 ,208 ,045 -,031
2 -,480 ,605 ,473 ,422 -,048
3 -,025 ,118 -,002 -,083 ,989
4 ,110 -,012 -,583 ,802 ,070
5 ,181 -,626 ,627 ,412 ,115
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.

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