WOLFRAM|DEMONSTRATIONS PROJECT

Exploratory Factor Analysis

​
Exploratory Factor Analysis Using
SVD for Procrustes Least Squares
data
t19
factors
4
method
triangular
show
Factor Loadings
triangular: Factor Loadings, Residuals (​
2
Ψ
​) & Significance
R
Factor1
Factor2
Factor3
Factor4
2
Ψ
Factor 1VariableSignificance
Factor 2VariableSignificance
Factor 3VariableSignificance
Factor 4VariableSignificance
Variable 1
1.
0.
0.
0.
0.
>.9
Variable 2
0.26
0.96
0.
0.
0.
>.25
>.9
Variable 3
0.1
0.23
0.97
0.
0.
>.9
Variable 4
0.67
0.74
0.01
0.
0.01
>.6
>.7
Variable 5
0.48
0.19
0.83
0.12
0.03
>.4
>.7
Variable 6
0.19
0.57
0.78
0.07
0.03
>.4
>.7
Variable 7
0.86
0.51
0.01
0.
0.
>.7
>.4
Variable 8
0.91
0.11
0.41
0.02
0.
>.9
>.4
Variable 9
0.23
0.85
0.46
0.05
0.
>.7
>.4
Variable 10
0.78
0.62
0.02
0.
0.
>.7
>.6
Variable 11
0.74
0.15
0.65
0.11
0.
>.7
>.6
Variable 12
0.21
0.75
0.62
0.1
0.
>.7
>.6
Variable 13
1.
0.03
-0.01
0.
0.
>.9
Variable 14
0.21
0.97
0.06
0.
0.02
>.9
Variable 15
0.1
0.18
0.93
0.31
0.
>.9
>.25
Variable 16
0.8
0.52
0.3
0.01
0.
>.7
>.4
>.25
Variable 17
0.96
-0.03
0.01
0.
0.07
>.9
Variable 18
0.09
0.25
0.96
-0.13
0.
>.9
Variable 19
0.09
0.25
0.96
-0.13
0.
>.9
This Demonstration implements exploratory factor analysis (EFA) using singular value decomposition for Procrustes least squares.