1. (bones Data): Principal Factor Method with Varimax Rotation
The FACTOR Procedure
Initial Factor Method: Principal Components
Prior Communality Estimates: ONE
Eigenvalues of the Correlation Matrix: Total = 6 Average = 1
Eigenvalue
Difference
Proportion
Cumulative
1
4.45644850
3.67403859
0.7427
0.7427
2
0.78240991
0.32398485
0.1304
0.8731
3
0.45842506
0.28959250
0.0764
0.9495
4
0.16883257
0.08974482
0.0281
0.9777
5
0.07908774
0.02429153
0.0132
0.9909
6
0.05479622
0.0091
1.0000
3 factors will be retained by the NFACTOR criterion.
Factor Pattern
Factor1
Factor2
Factor3
x1
skull length
0.74054
0.34997
0.57326
x2
skull breadth
0.60419
0.72058
-0.33991
x3
femur length
0.92881
-0.23285
-0.07483
x4
tibia length
0.94339
-0.17443
-0.06700
x5
humerus length
0.94760
-0.14282
-0.04460
x6
ulna length
0.94467
-0.18881
-0.04676
Variance Explained by Each Factor
Factor1
Factor2
Factor3
4.4564485
0.7824099
0.4584251
Final Communality Estimates: Total = 5.697283
x1
x2
x3
x4
x5
x6
0.99949392
0.99981641
0.92250189
0.92489775
0.92033434
0.93023917
Residual Correlations With Uniqueness on the Diagonal
x1
x2
x3
x4
x5
x6
x1
skull length
0.00051
0.00025
0.00557
0.00285
-0.00518
-0.00368
x2
skull breadth
0.00025
0.00018
0.00318
-0.00006
-0.00277
-0.00060
x3
femur length
0.00557
0.00318
0.07750
0.00414
-0.03973
-0.04688
x4
tibia length
0.00285
-0.00006
0.00414
0.07510
-0.04786
-0.03326
x5
humerus length
-0.00518
-0.00277
-0.03973
-0.04786
0.07967
0.01278
x6
ulna length
-0.00368
-0.00060
-0.04688
-0.03326
0.01278
0.06976
Root Mean Square Off-Diagonal Residuals: Overall = 0.02228762
x1
x2
x3
x4
x5
x6
0.00398974
0.00190888
0.02769402
0.02615993
0.02851900
0.02638623
Partial Correlations Controlling Factors
x1
x2
x3
x4
x5
x6
x1
skull length
1.00000
0.82735
0.88960
0.46158
-0.81611
-0.61925
x2
skull breadth
0.82735
1.00000
0.84339
-0.01695
-0.72408
-0.16832
x3
femur length
0.88960
0.84339
1.00000
0.05431
-0.50566
-0.63759
x4
tibia length
0.46158
-0.01695
0.05431
1.00000
-0.61870
-0.45950
x5
humerus length
-0.81611
-0.72408
-0.50566
-0.61870
1.00000
0.17139
x6
ulna length
-0.61925
-0.16832
-0.63759
-0.45950
0.17139
1.00000
Root Mean Square Off-Diagonal Partials: Overall = 0.59392232
x1
x2
x3
x4
x5
x6
0.74006244
0.62429721
0.65846379
0.40254669
0.60962063
0.46018166
1. (bones Data): Principal Factor Method with Varimax Rotation
The FACTOR Procedure
Initial Factor Method: Principal Components
Plot of Factor Pattern for Factor1 and Factor2
Factor1
1
CDE
.9
.8
A
.7
.6 B
.5
.4
.3
.2
F
.1 a
c
-1 -.9-.8-.7-.6-.5-.4-.3-.2-.1 0 .1 .2 .3 .4 .5 .6 .7 .8 .9 1.0t
o
-.1 r
2
-.2
-.3
-.4
-.5
-.6
-.7
-.8
-.9
-1
x1=A x2=B x3=C x4=D x5=E x6=D
1. (bones Data): Principal Factor Method with Varimax Rotation
The FACTOR Procedure
Initial Factor Method: Principal Components
Plot of Factor Pattern for Factor1 and Factor3
Factor1
1
CE
.9
.8
A
.7
B .6
.5
.4
.3
.2
F
.1 a
c
-1 -.9-.8-.7-.6-.5-.4-.3-.2-.1 0 .1 .2 .3 .4 .5 .6 .7 .8 .9 1.0t
o
-.1 r
3
-.2
-.3
-.4
-.5
-.6
-.7
-.8
-.9
-1
x1=A x2=B x3=C x4=C x5=E x6=E
1. (bones Data): Principal Factor Method with Varimax Rotation
The FACTOR Procedure
Initial Factor Method: Principal Components
Plot of Factor Pattern for Factor2 and Factor3
Factor2
1
.9
.8
B .7
.6
.5
.4
A
.3
.2
F
.1 a
c
-1 -.9-.8-.7-.6-.5-.4-.3-.2-.1 0 .1 .2 .3 .4 .5 .6 .7 .8 .9 1.0t
o
-.1 r
DE 3
F.2
C
-.3
-.4
-.5
-.6
-.7
-.8
-.9
-1
x1=A x2=B x3=C x4=D x5=E x6=F
1. (bones Data): Principal Factor Method with Varimax Rotation
The FACTOR Procedure
Rotation Method: Varimax
Orthogonal Transformation Matrix
1
2
3
1
0.85534
0.33723
0.39327
2
-0.48114
0.79855
0.36170
3
-0.19207
-0.49860
0.84529
Rotated Factor Pattern
Factor1
Factor2
Factor3
x1
skull length
0.35492
0.24337
0.90238
x2
skull breadth
0.23537
0.94864
0.21092
x3
femur length
0.92086
0.16459
0.21780
x4
tibia length
0.90372
0.21225
0.25128
x5
humerus length
0.88781
0.22774
0.28331
x6
ulna length
0.90784
0.19112
0.26370
Variance Explained by Each Factor
Factor1
Factor2
Factor3
3.4584355
1.1196880
1.1191601
Final Communality Estimates: Total = 5.697283
x1
x2
x3
x4
x5
x6
0.99949392
0.99981641
0.92250189
0.92489775
0.92033434
0.93023917
1. (bones Data): Principal Factor Method with Varimax Rotation
The FACTOR Procedure
Rotation Method: Varimax
Plot of Factor Pattern for Factor1 and Factor2
Factor1
1
.9 CFD
.8
.7
.6
.5
.4
A
.3
B
.2
F
.1 a
c
-1 -.9-.8-.7-.6-.5-.4-.3-.2-.1 0 .1 .2 .3 .4 .5 .6 .7 .8 .9 1.0t
o
-.1 r
2
-.2
-.3
-.4
-.5
-.6
-.7
-.8
-.9
-1
x1=A x2=B x3=C x4=D x5=D x6=F
1. (bones Data): Principal Factor Method with Varimax Rotation
The FACTOR Procedure
Rotation Method: Varimax
Plot of Factor Pattern for Factor1 and Factor3
Factor1
1
.9 CDE
.8
.7
.6
.5
.4
A
.3
B
.2
F
.1 a
c
-1 -.9-.8-.7-.6-.5-.4-.3-.2-.1 0 .1 .2 .3 .4 .5 .6 .7 .8 .9 1.0t
o
-.1 r
3
-.2
-.3
-.4
-.5
-.6
-.7
-.8
-.9
-1
x1=A x2=B x3=C x4=D x5=E x6=D
1. (bones Data): Principal Factor Method with Varimax Rotation
The FACTOR Procedure
Rotation Method: Varimax
Plot of Factor Pattern for Factor2 and Factor3
Factor2
1
B
.9
.8
.7
.6
.5
.4
.3
E A
.2 D
C F
.1 a
c
-1 -.9-.8-.7-.6-.5-.4-.3-.2-.1 0 .1 .2 .3 .4 .5 .6 .7 .8 .9 1.0t
o
-.1 r
3
-.2
-.3
-.4
-.5
-.6
-.7
-.8
-.9
-1
x1=A x2=B x3=C x4=D x5=E x6=D