Page 337 - Ebook HTKH 2024

Component 1 2 3 4 5
MH4 0.852

MH1 0.761
QT4 0.834
QT2 0.791
QT3 0.786
QT1 0.762
PL2 0.880
PL1 0.764
PL4 0.725
PL3 0.642

NL2 0.743
NL3 0.761
NL4 0.695
NL1 0.689
SP2 0.883

SP3 0.872
SP1 0.856
SP4 0.799
Source: SPSS data analysis results
The rotated matrix table shows that all factor loadings are > 0.55, so the model
has good explanatory and analytical capabilities.
KMO and Bartlett's Test Results

Table 4. KMO and Bartlett's Test Results
Statistic Value
Kaiser-Meyer-Olkin Measure of Sampling Adequacy 0.862
Bartlett's Test of Sphericity Approx. Chi-Square 589.005
df 15

Sig. 0.000
Source: SPSS data analysis results
The results show that the KMO value is 0.862, which satisfies the condition of
0.5 ≤ KMO ≤ 1. The Bartlett's Test result is 589.005, with a significance level of Sig =
0.000 < 0.05, rejecting the null hypothesis H0: the observed variables are uncorrelated.
Thus, the hypothesis about the correlation matrix between variables being uniform is
rejected, meaning the variables are correlated, and the conditions for factor analysis are

satisfied.
Regression Analysis Results
Table 5. Regression Coefficients
Unstandardized Standardized Collinearity
Model t Sig.
Coefficients Coefficients Statistics
B Std. Error Beta Tolerance
Constant 0.251 0.152 1.650 0.100

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