Ejemplo de un análisis factorial en SPSS por el método de componentes principales y sin rotación.
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Analysis number 1 Listwise deletion of cases with missing values
Label
X16 test de figura humana
X17 test tipo de letras
X18 test de reconocimiento de formas
X19 test numérico
X20 test de términos relacionables
X21 test de habilidades de clasificación
Number of Cases = 238
Correlation Matrix:
X16 X17 X18 X19 X20 X21
X16 1.00000
X17 .64301 1.00000
X18 .62461 .61893 1.00000
X19 .64664 .81875 .66623 1.00000
X20 .52379 .56112 .58592 .67496 1.00000
X21 .57707 .66688 .76539 .75680 .59515 1.00000
Determinant of Correlation Matrix = .0134042
Kaiser-Meyer-Olkin Measure of Sampling Adequacy = .87189
Bartlett Test of Sphericity = 1009.7701, Significance = .00000
Anti-image Correlation Matrix:
X16 X17 X18 X19 X20 X21
X16 .92995
X17 -.22016 .85949
X18 -.25867 -.06255 .86299
X19 -.12052 -.55459 .01805 .82683
X20 -.08595 .04384 -.15756 -.31840 .92638
X21 .02226 -.04601 -.49473 -.33543 -.05431 .86326
Measures of Sampling Adequacy (MSA) are printed on the diagonal.
Extraction 1 for analysis 1, Principal Components Analysis (PC)
Initial Statistics:
Variable Communality * Factor Eigenvalue Pct of Var Cum Pct
X16 1.00000 * 1 4.25313 70.9 70.9
X17 1.00000 * 2 .49556 8.3 79.1
X18 1.00000 * 3 .46084 7.7 86.8
X19 1.00000 * 4 .42083 7.0 93.8
X20 1.00000 * 5 .22175 3.7 97.5
X21 1.00000 * 6 .14788 2.5 100.0
PC extracted 1 factors.
Factor Matrix:
Factor 1
X16 .79095
X17 .85728
X18 .84477
X19 .90862
X20 .77467
X21 .86790
Final Statistics:
Variable Communality * Factor Eigenvalue Pct of Var Cum Pct
*
X16 .62559 * 1 4.25313 70.9 70.9
X17 .73493 *
X18 .71364 *
X19 .82559 *
X20 .60012 *
X21 .75326 *
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