d Consider Total variance explained: The four factors extracted represent 60,726% of the data variation of all the original observed variables... Reliability Statistics Cronbach'
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VIET NAM NATIONAL UNIVERSITY HO CHI MINH CITY
HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY
[I-::‡# of]
FINAL REPORT
DATA ANALYSIS Lecturers: Mr Truong Minh Chuong Student name: Hoang Phu 1752417
Phan Phuc Phi 1752410
July 18, 2022
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1 ANALYSIS OF CRONBACH ALPHA
1 Independent variables:
a) Variable STRU:
Case Processing Summary
Cases | Valid 199 100.0
a Listwise deletion based on all
variables in the procedure
Reliability Statistics
Cronbach's
Alpha N of items
803 5
ttem-Total Statistics Scale Corrected Cronbach's Scale Mean if Variance if ltem-Total Alpha if Item
Item Deleted Item Deleted Correlation Deleted
STRU1 15.46 4.583 550 776
STRU2 15.30 4.323 630 751
STRU3 1544 4.328 599 761
STRU4 15.53 4.341 545 780
STRU5 15.36 4.392 813 757
Table variable set of coefficient analysis of the STRU Comment:
The group's Cronbach alpha coefficient is 0.803 (>0.6) -> The scale has high reliability
Variable-total correlation coefficient: no variable is less than 0.3 -> Get all observed variables in
the group
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bh) Variable PROC
Case Processing Summary
Cases | Valid 199
a Listwise deletion based on all
variables in the procedure
100.0
Reliability Statistics
Cronbach's
Alpha N of ltems
826 6
ltem-Total Statistics Scale Corrected Cronbach's Scale Mean if Variance if ltem-Total Alpha if Item Item Deleted Item Deleted Correlation Deleted PROC6 18.95 7.771 407 839
PROC7 18.81 6.304 678 781
PROC8 18.71 7.642 591 800
PROCS 18.72 7.454 574 802
PROC10 18.82 7.156 709 776
PROC11 1879 7.379 665 786
Comment:
The group's Cronbach alpha coefficient is 0.826 (>0.6) -> The scale has high reliability
Variable-total correlation coefficient: no variable is less than 0.3 -> Get all observed variables in
the group
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c) Variable OUT
Case Processing Summary
Cases Valid 199
0
a Listwise deletion based on all
variables in the procedure
100.0
0
Reliability Statistics
Cronbach's
Alpha N of Items
796 4
ltem-Total Statistics Scale Corrected Cronbach's Scale Mean if Variance if ltem-Total Alpha if Item
Item Deleted Item Deleted Correlation Deleted
OUT12 10.89 2.755 641 731
OUT13 11.10 2.400 645 727
OUT14 10.99 2.848 519 786
OUT15 11.18 2.583 634 731
Comment:
Cronbach's alpha coefficient of the group is 0.796 (>0.6) -> The scale has high reliability
Variable-total correlation coefficient: no variable is less than 0.3 -> Get all observed variables in
the group
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d) Variable PRICE
Case Processing Summary
Cases Valid 199
0
a Listwise deletion based on all
variables in the procedure
Reliability Statistics
Cronbach's
Alpha N of Items
708 3
100.0
ttem-Total Statistics
Scale Corrected Cronbach's Scale Mean if Variance if ltem-Total Alpha if Item Item Deleted Item Deleted Correlation Deleted PRICE16 6.46 1.836 398 764
PRICE17 6.63 1.587 613 521
PRICE18 6.83 1.321 592 533
Comment:
The group's Cronbach alpha coefficient is 0.708 (>0.6) -> The scale has high reliability
Variable-total correlation coefficient: no variable is less than 0.3 -> Get all observed variables in
the group
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e) Variable SAT
Case Processing Summary
Cases | Valid 199 100.0
a Listwise deletion based on all
variables in the procedure
Reliability Statistics
Cronbach's
Alpha N of Items
817 4
Item-Total Statistics Scale Corrected Cronbach's Scale Mean if Variance if ltem-Total Alpha if Item
item Deleted Item Deleted Correlation Deleted SAT19 10.77 3.219 ,895 748
SAT20 10.63 3.284 649 767
SAT21 10.75 3.045 640 769
SAT22 10.79 2.932 592 799
Comment:
The group's Cronbach alpha coefficient is 0.817 (0.6) -> The scale has high reliability
Variable-total correlation coefficient: no variable is less than 0.3 -> Get all observed variables in
the group
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2 Dependent variable (LOY):
Case Processing Summary
Cases | Valid 199 100.0
a Listwise deletion based on all
variables in the procedure
Reliability Statistics
Cronbach's
Alpha N of items
883 5
lItem-Total Statistics Scale Corrected Cronbach's Scale Mean if Variance if ltem-Total Alpha if Item
Item Deleted Item Deleted Correlation Deleted
LOY23 14.55 5.512 755 849
LOY24 14.54 5.624 718 858
LOY25 14.60 5.686 730 855
LOY26 14.50 5.726 694 863
LOY27 14.60 5.989 695 863
Comment
Cronbach's alpha coefficient of the group is 0.883 (>0.6) -> The scale has high reliability
Variable-total correlation coefficient: no variable is less than 0.3 -> Get all observed variables in
the group
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I EXPLORATORY FACTOR ANALYSIS (EFA)
With a sample size of 199, the factor loading is 0.5 as the standard
1 Independent variables
a) Consider the KMO index
KMO and Bartlett's Test
Bartlett's Test of Chi- - 2428.029
231 Measure of
Sphericity df
KMO Test : KMO measure of sampling adequacy = 0.857 > 0.5
Barlett Test : Sig = 0.000 < 0.05
= Exploratory factor analysis is appropriate
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b) Consider the index Communalities
Communalities
Initial Extraction STRU1 1.000 569
STRU2 1.000 622
STRU3 1.000 599
STRU4 1.000 466
STRU5 1.000 556
PROC6 1.000 547
PROC7 1.000 738
PROC8 1.000 719
PROCS 1.000 642
PROC10 1.000 586
PROC11 1.000 556
OUT12 1.000 567
OUT13 1.000 608
OUT14 1.000 646
OUT15 1.000 705
PRICE16 1.000 517
PRICE17 1.000 515
PRICE18 1.000 726
SAT19 1.000 721
SAT20 1.000 555
SAT21 1.000 617
SAT22 1.000 582
Extraction Method: Principal
Component Analysis
All variables have Extraction index > 0.5 => All observed variables are kept
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c) Consider Eigenvalue Index
Total Variance Explained
21 168
1 Extraction Method: Principal Component Analysis
> There are 4 factors with Eigenvalue index > 1, if the data extracts 4 factors, these 4
factors will show the characteristics of the data better than extracting 5 or more factors
d) Consider Total variance explained:
The four factors extracted represent 60,726% of the data variation of all the original observed
variables
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e) Factor Loading
Rotated Component Matrix®
Component
PRICE16 622
PROC11 512
STRU4
Extraction Method: Principal Component Analysis
Rotation Method: Varimax with Kaiser Normalization
a Rotation converged in 18 iterations
= There are no bad variables to remove
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II EFA ALL SCALES
1 EFA analysis for all scales (1st time)
Rotated Component Matrix’
Component
1 2 3 4 5 LOY25 813
LOY23 758 3606
LOY24 753
LOY27 685
LOY26 649 315
SAT22 All 651
OUT13 635
STRU4 625 444
STRU2 625 353 308
OUTI15 392 625
SAT19 312 579 383 386
PROC11 450 313 311
PROC8 665 401
STRU3 300 626 302
OUT14 473 580
STRU1 569 -.319
OUT12 416 565
PRICE18 850
SAT21 A406 640
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SAT20
PROC9
PROC7
PROC10
307
349
339
335
568 .768 .640
472
Extraction Method: Principal Component Analysis
Rotation Method: Varimax with Kaiser Normalization
a Rotation converged in 8 iterations
> Remove SAT22, STRU4, STRU2, OUT15, SAT19, PROC11, PROC8, OUT14, OUT12,
SAT21, PROC10
2 EFA analysis for all scales (1st time)
Rotated Component Matrix’
Component
2 LOY25 883
LOY24 774
LOY23 760 350
LOY27 721
LOY26 695 351
STRU3 786
STRU1 683
PROC7 348 671
PROC9 334 560
PRICE18 883
13
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SAT20 326 510
Extraction Method: Principal
Component Analysis
Rotation Method: Varimax with Kaiser
Normalization
a Rotation converged in 5 iterations
> Remove PROCI, OUT13, SAT20
3 EFA all scale ( all cross loadings have been removed, the remaining cross loadings
due to diference greater than 0.3 are acceptable)
Total Variance Explained
Compon Initial Eigenvalues Extraction Sums of Squared Rotation Sums of Squared ent Loadings Loadings
Total %of |Cumulativ| Total %of |Cumulativ| Total % of | Cumulativ Variance e% Variance e% Variance e%
1 4.322 43.220 43.220] 4.322 43.220 43220| 3.300 33.003 33.003
2 1.530 15.300 58.520} 1.530 15.300 58.520] 2.012 20.118 53.122
3 1.280 12.804 71.324) 1.280 12.804 71.324] 1.820 18.202 71.324
4 642 6.422 77.746
5 566 5.657 83.403
6 515 5.147 88.549
7 362 3.624 92.174
8 301 3.013 95.187
9 276 2.760 97.948
10 205 2.052] 100.000
Extraction Method: Principal Component Analysis
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Rotated Component Matrix’
Component
1 2 3 LOY25 887
LOY24 793
LOY23 783 326
LOY27 744
LOY26 737 316
STRUS 821
STRU3 780
PRICE18 882
PRICE17 833
Extraction Method: Principal
Component Analysis
Rotation Method: Varimax with Kaiser
Normalization
a Rotation converged in 5 iterations
> The SAT22, STRU4, STRU2, OUT15, SAT19, PROC11, PROC8, OUT14, OUT12,
SAT21, PROC10, PROC9, OUT13, SAT20 having crossloading with the difference
lower than 0.3 have been eliminated The factor loadings are higher than 0.7 which are
good and acceptable The crosssloading of the LOY26 and LOY 23 with the difference is higher than 0.3 which is acceptable
IV RELIABILITY
1 Reliability STRU scale
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Reliability Statistics
Cronbach's Cronbach's N of
Alpha Alpha Based | Items
on Standardized Items
Item-Total Statistics Scale Mean if Scale Corrected Squared Cronbach's
Item Deleted | Variance if | Item-Total Multiple | Alpha if Item
Item Deleted | Correlation | Correlation Deleted
-The Cronbach’s Alpha is 0.719 which is greater than 0.6 and acceptable The Corrected Item-
Total Correlation of variables are higher than 0.3 which are acceptable
2 Reliability PRICE scale
Reliability Statistics
Cronbach's Cronbach's N of
Alpha Alpha Based | Items
on Standardized Items .764 771 2
Item-Total Statistics
16
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Scale Mean if Scale Corrected Squared Cronbach's
Item Deleted] Variance if | Item-Total Multiple | Alpha if Item
Item Deleted | Correlation | Correlation Deleted PRICE17 3.13 670 628 394
PRICE18 3.33 465 628 394
-The Cronbach’s Alpha is 0.764 which is greater than 0.6 and acceptable The Corrected Item-
Total Correlation of variables are higher than 0.3 which are acceptable
3 Reliability LOY
Reliability Statistics
Cronbach's Cronbach's N of
Alpha Alpha Based | Items
on Standardized Items
Item-Total Statistics
Scale Mean if Scale Corrected Squared Cronbach's
Item Deleted | Variance if | Item-Total Multiple | Alpha if Item
Item Deleted | Correlation | Correlation Deleted
an 14.55 5.512 755 622 849
te 14.54 5.624 718 583 858
a 14.60 5.686 730 537 855
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LOY2
7
14.60 5.989 695 503 .863
-The Cronbach’s Alpha is 0.883 which is greater than 0.6 and acceptable The Corrected Item-
Total Correlation of variables are higher than 0.3 which are acceptable
Vv REGRESSION
1 Model summary
Model Summary Mod R R Adjusted | Std Error Change Statistics
el Square | R Square of the -
Esti stimate R Square F dfl df2 Sig F
Change | Change Change
1 531° 281 274 50153 281] 38.392 2 196 000
a Predictors: (Constant), MEAN PRICE, MEAN STRU
- The sig.F change lower than 0.05 which is acceptable
ANOVA?
Model Sum of df Mean F Sig
1 Residual 49.301 196 252
Total 68.614 198
a Dependent Variable: MEAN LOY
b Predictors: (Constant), MEAN PRICE, MEAN STRU
-Sig lower than 0.05, acceptable
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Coefficients*
Model Unstandardized |Standardi| t Sig | 95.0% Confidence | Collinearity
Coefficients zed Interval for B Statistics
Coefficie
nts
B Std Beta Lower | Upper | Tolera| VIF Error Bound | Bound nce
y 1216| 288 4224| 000 648| 1.784
MEAN
STRU
MEAN _P 307 053 353| 5.740] 000 201 412] 969] 1.032
a Dependent Variable: MEAN LOY
SUMMARY:
-In the first model, the R squared changed 28.1% compared to the model zero which means it
explains 28.1% of the variance of the dependent variable The sig is lower than 0.05 which is
acceptable
-In the ANOVA table, the sig less than 0.05 which is acceptable
-In the Coefficients table, The STRU_mean and PRICE_mean have the sig less than 0.05 which
means that there are linear relationships between the dependent variable and the independent
variables and the relationships are statistically significant The STRU_mean, PRICE_mean, have
the positive relationships with the dependent variable, in which the PRICW_mean has the
strongest relation with the dependent variable with the Standardized Coefficient being of 0.353
which is higher than STRU_mean with the Standardized Coefficient being just 0.339 The VIF
are just slightly higher than 1 which are acceptable
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