Page 492 - Ebook HTKH 2024

4.3. Exploratory factor analysis (EFA)
Factor analysis can only be implemented when the obtained data must ensure that

the KMO coefficient falls within the range of [0.5; 1] and that Bartlett’s test is
statistically significant.
Table 3. KMO coefficient and Bartlett's test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .688
Bartlett's Test of Sphericity Approx. Chi-Square 1193.986
df 105
Sig. .000
The KMO test results show that the KMO coefficient is 0.688, and Bartlett's test
is statistically significant (Sig. < 0.05). Therefore, the data are suitable for conducting

factor analysis.
Table 4. Total variance explained

Extraction Sums of Squared Rotation Sums of Squared
Co Initial Eigenvalues Loadings Loadings
mpo % of Cumulative % of Cumulative % of Cumulative
nent Total Variance % Total Variance % Total Variance %
1 3.169 21.129 21.129 3.169 21.129 21.129 2.307 15.378 15.378
2 2.835 18.903 40.032 2.835 18.903 40.032 2.277 15.178 30.556
3 2.087 13.911 53.943 2.087 13.911 53.943 2.239 14.926 45.481
4 1.850 12.332 66.275 1.850 12.332 66.275 2.195 14.637 60.118
5 1.256 8.373 74.648 1.256 8.373 74.648 2.180 14.530 74.648
6 .670 4.465 79.113
7 .542 3.614 82.727
8 .520 3.464 86.191
9 .494 3.296 89.487
10 .473 3.154 92.642
11 .308 2.053 94.695
12 .292 1.948 96.643
13 .193 1.288 97.930
14 .176 1.173 99.104
15 .134 .896 100.000

Extraction Method: Principal Component Analysis.
Based on the total variance explained table, the 15 observed variables are
grouped into 5 distinct factor groups.
Table 5. Total extracted variance of dependent variables

Initial Eigenvalues Extraction Sums of Squared Loadings

Component Total % of Variance Cumulative % Total % of Variance Cumulative %
1 2.223 55.569 55.569 2.223 55.569 55.569
2 .819 20.487 76.056
3 .729 18.237 94.293
4 .228 5.707 100.000
Extraction Method: Principal Component Analysis.

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