Page 556 - ISC PROCEEDINGS 21.4

Table 5. Results of the variance test for extracting factors for the independent factors.
Total Variance Explained
Extraction Sums of
Initial Eigenvalues
Component Squared Loadings
Total % of Variance Cumulative % Total % of
Variance
1 4.562 17.166 17.166 4.562 17.166
2 3.942 15.766 32.933 3.942 15.766
3 3.399 13.597 46.530 3.399 13.597
4 2.816 11.262 57.792 2.816 11.262
5 2.328 9.311 65.115
6 .767 3.069 70.172
7 .683 2.731 72.903
8 .604 2.415 75.319
9 .570 2.279 77.598
10 .546 2.184 79.782
11 .514 2.057 81.839
12 .479 1.917 83.756
13 .454 1.817 85.574
14 .433 1.733 87.307
15 .413 1.650 88.957
16 .262 1.050 90.923
17 .248 .992 93.915
18 .222 .888 97.803
19 .155 .621 98.424
20 .144 .576 100.000
From SPSS
The variance explained test results indicate that 4 factors were extracted with the
Eigenvalue = 4.562 > 1 and a total cumulative variance of 65.115% > 50%, meeting the
standard criteria. Thus, 65.115% of the variation of the 4 factors is explained by the
observed variables. Additionally, since the Eigenvalue > 1, the 4 extracted factors provide
a good summary, confirming that the EFA model is appropriate.
Regression analysis results:
Table 6: Regression analysis table
Model Summary b
Adjusted R Std. Error of the
Model R R Square Durbin-Watson
Square Estimate
1 .711 a .506 .592 .51528 1.770

a. Predictors: (Constant), CR, KV, CS, CP
b. Dependent Variable: CI
Coefficients a
Unstandardized Standardized
Coefficients Coefficients
Model B Std. Error Beta T Sig.
1 (Constant) -.224 .315 -.718 .474

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