| 1. (bones Data): Principal Factor Method with Varimax Rotation |
| 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 | |
| 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 |
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 |
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 |
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 |
| 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 |
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 |
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 |
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
|