Component Transformation Matrix
Components 1 2 3 4 5 6
1
.600 | .442 | .470 | .301 | .255 | .258 | |
2 | -.293 | -.168 | .097 | .609 | -.463 | .539 |
3 | -.345 | -.406 | .211 | .165 | .790 | .140 |
4 | -.327 | .414 | -.010 | -.552 | .074 | .641 |
5 | -.562 | .616 | .168 | .291 | .043 | -.436 |
6 | .108 | .246 | -.835 | .347 | .297 | .148 |
Maybe you are interested!
-
Research on factors influencing customers' decision to use reporting services at Philip Entertainment Media and Entertainment Company Limited - 2 -
Research on factors affecting the decision to purchase gypsum board of Huy An private trading enterprise from institutional customers in Ho Chi Minh City - 13 -
Building a Scale and Research Model of Factors Affecting Customers' Decision to Choose a Bank to Deposit Savings at -
Research on factors affecting the decision to purchase gypsum board of Huy An private trading enterprise from institutional customers in Ho Chi Minh City - 2 -
Research on factors affecting the decision to choose savings deposit service of individual customers at Vietnam Joint Stock Commercial Bank for Investment and Development - Thua Thien Hue branch - 17

Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.
Second draw result
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling
Adequacy.
.747 | ||
Bartlett's Test of Sphericity | Approx. Chi-Square | 1000.859 |
df | 171 | |
Sig. | .000 |
Total Variance Explained
Extraction Sums of
Rotation Sums of
Initial Eigenvalues
Squared Loadings
% of
Squared Loadings
Component
All
% of Variance
cumulati
% Total
Variation
Total %
Total
% of Variance
Total %
1
5.06 1 | 26,639 | 26,639 | 5,061 | 26,639 | 26,639 | 2.84 8 | 14,990 | 14,990 | ||
2 | 2.13 3 | 11,227 | 37,866 | 2,133 | 11,227 | 37,866 | 2.21 8 | 11,673 | 26,663 | |
3 | 1.83 3 | 9,645 | 47,511 | 1,833 | 9,645 | 47,511 | 2.06 8 | 10,883 | 37,546 | |
4 | 1.61 0 | 8,475 | 55,986 | 1,610 | 8,475 | 55,986 | 2.06 3 | 10,858 | 48,403 | |
5 | 1.31 5 | 6,922 | 62,909 | 1,315 | 6,922 | 62,909 | 1.97 2 | 10,378 | 58,781 | |
6 | 1.16 1 | 6.113 | 69,021 | 1.161 | 6.113 | 69,021 | 1.94 6 | 10,240 | 69,021 | |
7 | .752 | 3,957 | 72,978 | |||||||
8 | .695 | 3,656 | 76,634 | |||||||
9 | .613 | 3,228 | 79,862 | |||||||
10 | .577 | 3,036 | 82,897 | |||||||
11 | .540 | 2,843 | 85,740 | |||||||
12 | .480 | 2,524 | 88,264 | |||||||
13 | .474 | 2,495 | 90,760 | |||||||
14 | .416 | 2,190 | 92,950 | |||||||
15 | .378 | 1,989 | 94,939 | |||||||
16 | .328 | 1,726 | 96,665 | |||||||
17 | .255 | 1,343 | 98,008 | |||||||
18 | .222 | 1,169 | 99,178 | |||||||
19 | .156 | .822 | 100,000 |
Extraction Method: Principal Component Analysis.
Rotated Component Matrix a
Component
1 2 3 4 5 6
GDV2
.860 | |
GDV4 | .845 |
GDV1 | .731 |
GDV3 | .726 |
AH2 | .855 |
AH3 | .794 |
AH1 | .773 |
QC2 | .825 |
QC1 | .800 |
QC3 | .791 |
UTTH2 | .893 |
UTTH1 | .821 |
UTTH3 | .593 |
SP2 | .772 |
SP1 | .736 |
SP3 | .702 |
PV3 | .839 |
PV2 | .804 |
PV1 | .702 |
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 5 iterations.
Component Transformation Matrix
Components 1 2 3 4 5 6
1
.604 | .462 | .264 | .298 | .443 | .258 | |
2 | -.294 | -.115 | -.471 | .610 | .071 | .549 |
3 | -.372 | -.370 | .789 | .178 | .200 | .177 |
4 | -.283 | .380 | .037 | -.609 | .009 | .635 |
5 | .574 | -.591 | .015 | -.182 | -.308 | .438 |
6 | -.009 | .378 | .291 | .322 | -.815 | .073 |
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.
Factor extraction results: Decision to use
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling
Adequacy.
.641 | ||
Bartlett's Test of Sphericity | Approx. Chi-Square | 63,562 |
df | 3 | |
Sig. | .000 |
Total Variance Explained
Extraction Sums of Squared
Initial Eigenvalues Loadings
Components
Total
% of Variance
cumulative
% Total
% of Variance
cumulative
%
1
1.805 | 60,173 | 60,173 | 1.805 | 60,173 | 60,173 | |
2 | .689 | 22,963 | 83,136 | |||
3 | .506 | 16,864 | 100,000 | |||
Extraction Method: Principal Component Analysis.
Component Matrix a
Component 1
SD1
.821 | |
SD3 | .786 |
SD2 | .716 |
Extraction Method: Principal Component Analysis.
a. 1 components extracted.
Appendix 2.4: Results of normal distribution test of factors.
Statistics
UTTH GDV SP AH QC PV SD
N
Valid | 140 | 140 | 140 | 140 | 140 | 140 | 140 | |
Missing | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
Skewness | -.143 | -.043 | -.317 | -.264 | -.262 | -.066 | -.639 | |
Std. Error of Skewness | .205 | .205 | .205 | .205 | .205 | .205 | .205 | |
Kurtosis | -.345 | -.798 | .013 | -.238 | -.100 | -.010 | .028 | |
Std. Error of Kurtosis | .407 | .407 | .407 | .407 | .407 | .407 | .407 | |
Appendix 2.5: Pearson correlation coefficient test results.
Correlations
SD UTTH GDV SP AH QC PV
SD
Pearson Correlation | 1 | .410 ** | .619 ** | .730 ** | .490 ** | .251 ** | .345 ** | |
Sig. (2-tailed) | .000 | .000 | .000 | .000 | .003 | .000 | ||
N | 140 | 140 | 140 | 140 | 140 | 140 | 140 | |
UTT H | Pearson Correlation | .410 ** | 1 | .227 ** | .329 ** | .185 * | .071 | .252 ** |
Sig. (2-tailed) | .000 | .007 | .000 | .028 | .407 | .003 | ||
N | 140 | 140 | 140 | 140 | 140 | 140 | 140 | |
GDV
Pearson Correlation | .619 ** | .227 ** | 1 | .422 ** | .460 ** | .223 ** | .161 | |
Sig. (2-tailed) | .000 | .007 | .000 | .000 | .008 | .058 | ||
N | 140 | 140 | 140 | 140 | 140 | 140 | 140 | |
SP | Pearson Correlation | .730 ** | .329 ** | .422 ** | 1 | .375 ** | .251 ** | .242 ** |
Sig. (2-tailed) | .000 | .000 | .000 | .000 | .003 | .004 | ||
N | 140 | 140 | 140 | 140 | 140 | 140 | 140 | |
AH | Pearson Correlation | .490 ** | .185 * | .460 ** | .375 ** | 1 | .161 | .213 * |
Sig. (2-tailed) | .000 | .028 | .000 | .000 | .058 | .012 | ||
N | 140 | 140 | 140 | 140 | 140 | 140 | 140 | |
QC | Pearson Correlation | .251 ** | .071 | .223 ** | .251 ** | .161 | 1 | .058 |
Sig. (2-tailed) | .003 | .407 | .008 | .003 | .058 | .500 | ||
N | 140 | 140 | 140 | 140 | 140 | 140 | 140 | |
| f� Lr� > �:toSI#8������e* �yA�Ep =�S�wR�x���@f�T�.G�@�{�qǐ/�b�Wx���� CFh͂�ﶉ���&�����?�� ��[ G�E;�� 9�3 [o /�`���-|U���̑F_� u`0G�C�]3QV�.���C� W>R���{��6� Ow=3�d@��nD�ᮞ�dŁ�[����- �Q��e&�>j�T���RC@ ( �;"L ��� n�"TS?� ˲`#b� S o�/��*�/ � q/���d��<�e�h�� i�?�x���+�C 9 .012 | .500 | |||||||
N | 140 | 140 | 140 | 140 | 140 | 140 | 140 |
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
Appendix 2.6: Regression analysis results
Model Summary b
Std. Error
Mode
l R
R
Square
Adjusted R Square
of the Estimate
Durbin-Watson
1
.835a | .698 | .684 | .32237 | 2,071 |
a. Predictors: (Constant), PV, QC, UTTH, AH, GDV, SP
b. Dependent Variable: SD
Sum of
ANOVA a
Mean
Model
Squares df
Square F Sig.
1
Regression | 31,939 | 6 | 5,323 | 51.22 1 | .000 b |
Residual | 13,822 | 133 | .104 | ||
Total | 45,761 | 139 |
a. Dependent Variable: SD
b. Predictors: (Constant), PV, QC, UTTH, AH, GDV, SP
Coefficients a
Unstandardized Coefficients
Standardized Coefficients
Collinearity Statistics
Model
B Std. Error Beta
t Sig.
Tolerance VIF
1
(Constant) | -.925 | .358 | - 2,588 | .011 |





