Luận án Các yếu tố ảnh hưởng đến việc lựa chọn dịch vụ ngân hàng trực tuyến của khách hàng cá nhân: Nghiên cứu tại các ngân hàng thương mại
Sự phát triển của NHTT phụ thuộc vào rất nhiều yếu tố: Môi trường kinh tế;
môi trường pháp lý; trình độ phát triển kinh tế; trình độ phát triển của các doanh
nghiệp và của KHCN, có ý nghĩa quyết định rất lớn đến sự phát triển của NHTT.
Xu thế phát triển NHTT là tất yếu, và quan điểm đi tắt, đón đầu trong phát triển
công nghệ cần được xem xét kỹ lưỡng xong cần thận trọng, đảm bảo sự phát triển
phù hợp vơi từng giai đoạn phát triển của nền kinh tế đất nước, đảm bảo sự phát
triển an toàn, bền vững và hiệu quả. Trong điều kiện hiện nay, để phát triển
NHĐT, ngoài việc các TCTD tiếp tục hoàn thiện và phát triển các hoạt động dịch
vụ ngân hàng truyền thống là cơ sở đảm bảo cho TCTD phát triển đạt trình độ nhất
định, tạo tiền đề để phát triển các hoạt động dịch vụ NHTT còn đòi hỏi phải có sự
đầu tư, quan tâm đúng đắn của các cơ quan quản lý nhà nước. Nhìn chung, trong
thời gian tới Nhà nước cần thực hiện đồng bộ các hàm ý sau:
Thứ nhất, xây dựng chiến lược phát triển dịch vụ cho hoạt động của ngành
ngân hàng, tạo căn cứ để các ngân hàng xây dựng chiến lược hoạt động sản phẩm
dịch vụ nói chung và dịch vụ NHTT nói riêng. Nghiên cứu xây dựng định hướng
chiến lược phát triển công nghệ, đảm bảo kết nối chính xác và an toàn, tiện lợi và
hiệu quả công nghệ.
Thứ hai, phát triển hạ tầng công nghệ: Việc mở rộng và phát triển dịch vụ
thanh toán không dùng tiền mặt trước tiên là nhiệm vụ của ngành ngân hàng nhưng
nếu chỉ riêng ngành ngân hàng thì không thể đạt được mục tiêu này, bởi các tiêu
chuẩn về công nghệ thanh toán cà viễn thông, phát triển mạng máy tính toàn cầu
Internet cũng như các tiêu chuẩn đảm bảo an toàn cho giao dịch điện tử có thể coi129
là những điều kiện quan trọng cho sự thành công và phát triển lâu dài của các dịch
vụ ngân hàng hiện đại. Do vậy, Nhà nước cần có kế hoạch phát triển hạ tầng công
nghệ tạo nền tảng cho hệ thống các NHTM thúc đẩy sự phát triển của các dịch vụ
NHTT hiện đại
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Chia sẻ: tueminh09 | Ngày: 09/02/2022 | Lượt xem: 358 | Lượt tải: 0
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ach's
Alpha N of Items
.797 4
Item Statistics
Mean Std. Deviation N
DSD1 3.32 .676 443
DSD2 3.40 .743 443
DSD3 3.38 .738 443
DSD4 3.35 .774 443
Item-Total Statistics
Scale Mean if
Item Deleted
Scale Variance
if Item Deleted
Corrected
Item-Total
Correlation
Cronbach's
Alpha if Item
Deleted
DSD1 10.13 3.396 .601 .751
DSD2 10.05 3.192 .606 .747
DSD3 10.07 3.280 .571 .764
DSD4 10.10 2.990 .658 .720
RELIABILITY
/VARIABLES=HI1 HI2 HI3 HI4 HI5
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/STATISTICS=DESCRIPTIVE
/SUMMARY=TOTAL.
Reliability
Notes
Output Created 21-APRIL-2021 23:41:38
Comments
Input Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 456
Matrix Input
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
Cases Used Statistics are based on all cases with
valid data for all variables in the
procedure.
Syntax RELIABILITY
/VARIABLES=HI1 HI2 HI3 HI4 HI5
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/STATISTICS=DESCRIPTIVE
/SUMMARY=TOTAL.
Resources Processor Time 00:00:00.02
Elapsed Time 00:00:00.00
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases Valid 443 97.1
Excludeda 13 2.9
Total 456 100.0
a. Listwise deletion based on all variables in
the procedure.
Reliability Statistics
Cronbach's
Alpha N of Items
.864 5
Item Statistics
Mean Std. Deviation N
HI1 2.66 .643 443
HI2 2.81 .670 443
HI3 3.29 .692 443
HI4 3.39 .724 443
HI5 3.35 .811 443
Item-Total Statistics
Scale Mean if
Item Deleted
Scale Variance
if Item Deleted
Corrected
Item-Total
Correlation
Cronbach's
Alpha if Item
Deleted
HI1 12.84 5.713 .663 .841
HI2 12.70 5.555 .683 .835
HI3 12.21 5.368 .723 .825
HI4 12.12 5.469 .642 .846
HI5 12.15 4.913 .721 .827
Case Processing Summary
N %
Cases Valid 443 100.0
Excludeda 0 .0
Total 443 100.0
a. Listwise deletion based on all variables in
the procedure.
Reliability Statistics
Cronbach's
Alpha N of Items
.838 4
Item Statistics
Mean Std. Deviation N
RRR1 2.63 .751 443
RRR2 3.11 .679 443
RRR3 2.68 .686 443
RRR4 2.54 .679 443
Item-Total Statistics
Scale Mean if
Item Deleted
Scale
Variance if
Item Deleted
Corrected
Item-Total
Correlation
Cronbach's
Alpha if Item
Deleted
RRR1 8.33 3.037 .637 .812
RRR2 7.85 3.221 .651 .803
RRR3 8.28 3.088 .710 .777
RRR4 8.42 3.153 .686 .788
RELIABILITY
/VARIABLES=HA1 HA2 HA3 HA4
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/STATISTICS=DESCRIPTIVE
/SUMMARY=TOTAL.
Reliability
Notes
Output Created 21-APRIL-2021 23:42:04
Comments
Input Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working
Data File
456
Matrix Input
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Statistics are based on all cases with valid
data for all variables in the procedure.
Syntax RELIABILITY
/VARIABLES=HA1 HA2 HA3 HA4
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/STATISTICS=DESCRIPTIVE
/SUMMARY=TOTAL.
Resources Processor Time 00:00:00.00
Elapsed Time 00:00:00.00
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases Valid 443 97.1
Excludeda 13 2.9
Total 456 100.0
a. Listwise deletion based on all variables in
the procedure.
Reliability Statistics
Cronbach's
Alpha N of Items
.833 4
Item Statistics
Mean Std. Deviation N
HA1 3.44 .786 443
HA2 3.42 .727 443
HA3 3.40 .749 443
HA4 3.38 .687 443
Item-Total Statistics
Scale Mean if
Item Deleted
Scale Variance
if Item Deleted
Corrected
Item-Total
Correlation
Cronbach's
Alpha if Item
Deleted
HA1 10.19 3.351 .638 .801
HA2 10.21 3.484 .660 .790
HA3 10.23 3.397 .669 .786
HA4 10.25 3.554 .687 .779
RELIABILITY
/VARIABLES=CP1 CP2 CP3 CP4
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/STATISTICS=DESCRIPTIVE
/SUMMARY=TOTAL.
Reliability
Notes
Output Created 21-APRIL-2021 23:42:16
Comments
Input Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 456
Matrix Input
Missing Value Handling Definition of Missing User-defined missing values are
treated as missing.
Cases Used Statistics are based on all cases
with valid data for all variables in
the procedure.
Syntax RELIABILITY
/VARIABLES=CP1 CP2 CP3
CP4
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/STATISTICS=DESCRIPTIVE
/SUMMARY=TOTAL.
Resources Processor Time 00:00:00.00
Elapsed Time 00:00:00.01
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases Valid 443 97.1
Excludeda 13 2.9
Total 456 100.0
a. Listwise deletion based on all variables in
the procedure.
Reliability Statistics
Cronbach's
Alpha N of Items
.885 4
Item Statistics
Mean Std. Deviation N
CP1 3.39 .786 443
CP2 3.37 .757 443
CP3 3.40 .758 443
CP4 3.38 .767 443
Item-Total Statistics
Scale Mean if
Item Deleted
Scale Variance
if Item Deleted
Corrected
Item-Total
Correlation
Cronbach's
Alpha if Item
Deleted
CP1 10.15 4.320 .631 .897
CP2 10.16 4.218 .710 .867
CP3 10.14 3.988 .805 .830
CP4 10.16 3.830 .860 .808
RELIABILITY
/VARIABLES=XH1 XH2 XH3 XH4 XH5
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/STATISTICS=DESCRIPTIVE
/SUMMARY=TOTAL.
Reliability
Notes
Output Created 21-APRIL-2021 23:42:27
Comments
Input Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working
Data File
456
Matrix Input
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Statistics are based on all cases with valid
data for all variables in the procedure.
Syntax RELIABILITY
/VARIABLES=XH1 XH2 XH3 XH4 XH5
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/STATISTICS=DESCRIPTIVE
/SUMMARY=TOTAL.
Resources Processor Time 00:00:00.00
Elapsed Time 00:00:00.00
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases Valid 443 97.1
Excludeda 13 2.9
Total 456 100.0
a. Listwise deletion based on all variables in
the procedure.
Reliability Statistics
Cronbach's
Alpha N of Items
.848 5
Item Statistics
Mean Std. Deviation N
XH1 3.34 .705 443
XH2 3.40 .719 443
XH3 3.39 .733 443
XH4 3.23 .766 443
XH5 3.44 .698 443
Item-Total Statistics
Scale Mean if
Item Deleted
Scale Variance
if Item Deleted
Corrected
Item-Total
Correlation
Cronbach's
Alpha if Item
Deleted
XH1 13.46 5.543 .637 .822
XH2 13.40 5.508 .631 .823
XH3 13.41 5.410 .647 .819
XH4 13.57 5.155 .694 .806
XH5 13.37 5.468 .674 .812
RELIABILITY
/VARIABLES=DM1 DM2 DM3 DM4
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/STATISTICS=DESCRIPTIVE
/SUMMARY=TOTAL.
Reliability
Notes
Output Created 21-APRIL-2021 23:42:40
Comments
Input Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working
Data File
456
Matrix Input
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Statistics are based on all cases with valid
data for all variables in the procedure.
Syntax RELIABILITY
/VARIABLES=DM1 DM2 DM3 DM4
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/STATISTICS=DESCRIPTIVE
/SUMMARY=TOTAL.
Resources Processor Time 00:00:00.00
Elapsed Time 00:00:00.00
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases Valid 443 97.1
Excludeda 13 2.9
Total 456 100.0
a. Listwise deletion based on all variables in
the procedure.
Reliability Statistics
Cronbach's
Alpha N of Items
.834 4
Item Statistics
Mean Std. Deviation N
DM1 3.88 1.007 443
DM2 3.70 .879 443
DM3 3.48 .765 443
DM4 4.08 .845 443
Item-Total Statistics
Scale Mean if
Item Deleted
Scale Variance
if Item Deleted
Corrected
Item-Total
Correlation
Cronbach's
Alpha if Item
Deleted
DM1 11.26 4.396 .672 .793
DM2 11.44 4.776 .703 .773
DM3 11.66 5.199 .707 .778
DM4 11.05 5.212 .601 .818
RELIABILITY
/VARIABLES=YD1 YD2 YD3 YD4
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/STATISTICS=DESCRIPTIVE
/SUMMARY=TOTAL.
Reliability
Notes
Output Created 21-APRIL-2021 23:42:49
Comments
Input Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working
Data File
456
Matrix Input
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Statistics are based on all cases with valid
data for all variables in the procedure.
Syntax RELIABILITY
/VARIABLES=YD1 YD2 YD3 YD4
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/STATISTICS=DESCRIPTIVE
/SUMMARY=TOTAL.
Resources Processor Time 00:00:00.02
Elapsed Time 00:00:00.01
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases Valid 443 97.1
Excludeda 13 2.9
Total 456 100.0
a. Listwise deletion based on all variables in
the procedure.
Reliability Statistics
Cronbach's
Alpha N of Items
.855 4
Item Statistics
Mean Std. Deviation N
YD1 3.38 .819 443
YD2 3.42 .802 443
YD3 3.36 .784 443
YD4 3.44 .833 443
Item-Total Statistics
Scale Mean if
Item Deleted
Scale Variance
if Item Deleted
Corrected
Item-Total
Correlation
Cronbach's
Alpha if Item
Deleted
YD1 10.22 4.171 .739 .798
YD2 10.17 4.429 .664 .829
YD3 10.24 4.264 .751 .794
YD4 10.16 4.385 .640 .840
RELIABILITY
/VARIABLES=LC1 LC2 LC3
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/STATISTICS=DESCRIPTIVE
/SUMMARY=TOTAL.
Reliability
Notes
Output Created 21-APRIL-2021 23:42:59
Comments
Input Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working
Data File
456
Matrix Input
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Statistics are based on all cases with valid
data for all variables in the procedure.
Syntax RELIABILITY
/VARIABLES=LC1 LC2 LC3
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/STATISTICS=DESCRIPTIVE
/SUMMARY=TOTAL.
Resources Processor Time 00:00:00.00
Elapsed Time 00:00:00.00
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases Valid 443 97.1
Excludeda 13 2.9
Total 456 100.0
a. Listwise deletion based on all variables in
the procedure.
Reliability Statistics
Cronbach's
Alpha N of Items
.847 3
Item Statistics
Mean Std. Deviation N
LC1 3.36 .756 443
LC2 3.42 .819 443
LC3 3.38 .791 443
Item-Total Statistics
Scale Mean if
Item Deleted
Scale Variance
if Item Deleted
Corrected
Item-Total
Correlation
Cronbach's
Alpha if Item
Deleted
LC1 6.81 2.184 .687 .813
LC2 6.74 1.887 .770 .732
LC3 6.79 2.086 .691 .810
FACTOR
/VARIABLES DSD1 DSD2 DSD3 DSD4 HI1 HI2 HI3 HI4 HI5 RRR1 RRR2 RRR3 RRR4 HA1 HA2
HA3 HA4 CP1 CP2
CP3 CP4 XH1 XH2 XH3 XH4 XH5 DM1 DM2 DM3 DM4 YD1 YD2 YD3 YD4
/MISSING LISTWISE
/ANALYSIS DSD1 DSD2 DSD3 DSD4 HI1 HI2 HI3 HI4 HI5 RRR1 RRR2 RRR3 RRR4 HA1 HA2
HA3 HA4 CP1 CP2 CP3
CP4 XH1 XH2 XH3 XH4 XH5 DM1 DM2 DM3 DM4 YD1 YD2 YD3 YD4
/PRINT UNIVARIATE INITIAL CORRELATION KMO EXTRACTION ROTATION
/FORMAT SORT BLANK(.5)
/CRITERIA MINEIGEN(1) ITERATE(25)
/EXTRACTION PAF
/CRITERIA ITERATE(25)
/ROTATION PROMAX(4)
/METHOD=CORRELATION.
Factor Analysis
Notes
Output Created 21-APRIL-2021 23:43:47
Comments
Input Data D:\PHU\LA\DATA.sav
Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data
File
443
Missing Value Handling Definition of Missing MISSING=EXCLUDE: User-defined
missing values are treated as
missing.
Cases Used LISTWISE: Statistics are based on
cases with no missing values for any
variable used.
Syntax FACTOR
/VARIABLES DSD1 DSD2 DSD3
DSD4 HI1 HI2 HI3 HI4 HI5 RRR1
RRR2 RRR3 RRR4 HA1 HA2 HA3
HA4 CP1 CP2
CP3 CP4 XH1 XH2 XH3 XH4 XH5
DM1 DM2 DM3 DM4 YD1 YD2 YD3
YD4
/MISSING LISTWISE
/ANALYSIS DSD1 DSD2 DSD3
DSD4 HI1 HI2 HI3 HI4 HI5 RRR1
RRR2 RRR3 RRR4 HA1 HA2 HA3
HA4 CP1 CP2 CP3
CP4 XH1 XH2 XH3 XH4 XH5 DM1
DM2 DM3 DM4 YD1 YD2 YD3 YD4
/PRINT UNIVARIATE INITIAL
CORRELATION KMO EXTRACTION
ROTATION
/FORMAT SORT BLANK(.5)
/CRITERIA MINEIGEN(1)
ITERATE(25)
/EXTRACTION PAF
/CRITERIA ITERATE(25)
/ROTATION PROMAX(4)
/METHOD=CORRELATION.
Resources Processor Time 00:00:00.06
Elapsed Time 00:00:00.03
Maximum Memory
Required
134168 (131.023K) bytes
Descriptive Statistics
Mean Std. Deviation Analysis N
DSD1 3.32 .676 443
DSD2 3.40 .743 443
DSD3 3.38 .738 443
DSD4 3.35 .774 443
HI1 2.66 .643 443
HI2 2.81 .670 443
HI3 3.29 .692 443
HI4 3.39 .724 443
HI5 3.35 .811 443
RRR1 2.63 .751 443
RRR2 3.11 .679 443
RRR3 2.68 .686 443
RRR4 2.54 .679 443
HA1 3.44 .786 443
HA2 3.42 .727 443
HA3 3.40 .749 443
HA4 3.38 .687 443
CP1 3.39 .786 443
CP2 3.37 .757 443
CP3 3.40 .758 443
CP4 3.38 .767 443
XH1 3.34 .705 443
XH2 3.40 .719 443
XH3 3.39 .733 443
XH4 3.23 .766 443
XH5 3.44 .698 443
DM1 3.88 1.007 443
DM2 3.70 .879 443
DM3 3.48 .765 443
DM4 4.08 .845 443
YD1 3.38 .819 443
YD2 3.42 .802 443
YD3 3.36 .784 443
YD4 3.44 .833 443
Correlation Matrix
DSD1 DSD2 DSD3 DSD4 HI1 HI2 HI3
Correlation DSD1 1.000 .464 .435 .572 .174 .145 .155
DSD2 .464 1.000 .489 .527 .129 .049 .083
DSD3 .435 .489 1.000 .487 .077 -.011 -.038
DSD4 .572 .527 .487 1.000 .120 .170 .095
HI1 .174 .129 .077 .120 1.000 .537 .592
HI2 .145 .049 -.011 .170 .537 1.000 .574
HI3 .155 .083 -.038 .095 .592 .574 1.000
HI4 .203 .123 .049 .186 .477 .519 .577
HI5 .261 .191 -.026 .195 .578 .607 .607
RRR1 -.145 -.184 -.178 -.136 -.082 -.156 -.213
RRR2 -.197 -.151 -.176 -.204 -.182 -.164 -.268
RRR3 -.147 -.204 -.187 -.202 -.141 -.094 -.219
RRR4 -.136 -.165 -.174 -.133 -.140 -.098 -.198
HA1 .190 .133 .164 .141 .161 .275 .203
HA2 .143 .174 .110 .132 .170 .118 .190
HA3 .185 .136 .048 .161 .197 .183 .227
HA4 .201 .217 .184 .210 .184 .164 .175
CP1 .290 .227 .195 .247 .232 .258 .220
CP2 .227 .223 .266 .239 .211 .221 .285
CP3 .287 .269 .156 .247 .279 .351 .297
CP4 .265 .265 .172 .245 .285 .352 .321
XH1 .090 -.017 -.022 .074 .199 .206 .186
XH2 .090 .035 .007 .070 .073 .113 .060
XH3 .150 .097 .103 .092 .135 .047 .070
XH4 .136 .100 .046 .155 .141 .158 .081
XH5 .150 .035 .024 .095 .102 .103 .091
DM1 .018 .048 -.058 -.040 .065 -.039 .111
DM2 -.020 .084 -.068 -.046 .040 .040 .093
DM3 -.024 .055 -.009 -.033 .029 .007 .070
DM4 -.019 .001 -.048 -.107 .014 .000 .040
YD1 .325 .287 .148 .271 .342 .322 .388
YD2 .364 .263 .164 .247 .326 .286 .348
YD3 .364 .310 .246 .309 .307 .338 .366
YD4 .295 .253 .143 .274 .342 .280 .298
Correlation Matrix
HI4 HI5 RRR1 RRR2 RRR3 RRR4 HA1
Correlation DSD1 .203 .261 -.145 -.197 -.147 -.136 .190
DSD2 .123 .191 -.184 -.151 -.204 -.165 .133
DSD3 .049 -.026 -.178 -.176 -.187 -.174 .164
DSD4 .186 .195 -.136 -.204 -.202 -.133 .141
HI1 .477 .578 -.082 -.182 -.141 -.140 .161
HI2 .519 .607 -.156 -.164 -.094 -.098 .275
HI3 .577 .607 -.213 -.268 -.219 -.198 .203
HI4 1.000 .551 -.177 -.172 -.200 -.129 .134
HI5 .551 1.000 -.167 -.253 -.209 -.233 .135
RRR1 -.177 -.167 1.000 .507 .590 .531 -.230
RRR2 -.172 -.253 .507 1.000 .568 .586 -.265
RRR3 -.200 -.209 .590 .568 1.000 .615 -.145
RRR4 -.129 -.233 .531 .586 .615 1.000 -.157
HA1 .134 .135 -.230 -.265 -.145 -.157 1.000
HA2 .145 .137 -.220 -.232 -.273 -.227 .497
HA3 .224 .243 -.156 -.189 -.133 -.179 .541
HA4 .109 .185 -.254 -.286 -.198 -.228 .584
CP1 .234 .239 -.276 -.281 -.211 -.235 .352
CP2 .328 .283 -.261 -.262 -.294 -.298 .316
CP3 .331 .353 -.331 -.332 -.361 -.306 .309
CP4 .346 .379 -.305 -.298 -.335 -.290 .324
XH1 .240 .150 -.161 -.123 -.140 -.095 .230
XH2 .133 .067 -.129 -.134 -.139 -.064 .154
XH3 .198 .054 -.093 -.079 -.076 -.041 .140
XH4 .179 .065 -.113 -.026 -.057 -.026 .200
XH5 .212 .099 -.046 -.051 -.044 -.012 .175
DM1 .085 .009 -.034 -.057 -.034 .010 .034
DM2 .076 .032 -.013 .031 .035 .038 .021
DM3 .054 .019 -.091 -.067 -.076 -.023 .078
DM4 .013 -.040 -.101 -.082 -.055 -.040 .112
YD1 .326 .398 -.322 -.386 -.328 -.315 .302
YD2 .373 .382 -.248 -.336 -.206 -.279 .306
YD3 .338 .402 -.333 -.394 -.334 -.359 .337
YD4 .396 .345 -.246 -.354 -.263 -.308 .255
Correlation Matrix
HA2 HA3 HA4 CP1 CP2 CP3 CP4
Correlation DSD1 .143 .185 .201 .290 .227 .287 .265
DSD2 .174 .136 .217 .227 .223 .269 .265
DSD3 .110 .048 .184 .195 .266 .156 .172
DSD4 .132 .161 .210 .247 .239 .247 .245
HI1 .170 .197 .184 .232 .211 .279 .285
HI2 .118 .183 .164 .258 .221 .351 .352
HI3 .190 .227 .175 .220 .285 .297 .321
HI4 .145 .224 .109 .234 .328 .331 .346
HI5 .137 .243 .185 .239 .283 .353 .379
RRR1 -.220 -.156 -.254 -.276 -.261 -.331 -.305
RRR2 -.232 -.189 -.286 -.281 -.262 -.332 -.298
RRR3 -.273 -.133 -.198 -.211 -.294 -.361 -.335
RRR4 -.227 -.179 -.228 -.235 -.298 -.306 -.290
HA1 .497 .541 .584 .352 .316 .309 .324
HA2 1.000 .590 .582 .317 .280 .306 .297
HA3 .590 1.000 .551 .346 .318 .388 .370
HA4 .582 .551 1.000 .278 .283 .260 .263
CP1 .317 .346 .278 1.000 .535 .606 .582
CP2 .280 .318 .283 .535 1.000 .612 .747
CP3 .306 .388 .260 .606 .612 1.000 .870
CP4 .297 .370 .263 .582 .747 .870 1.000
XH1 .150 .199 .165 .238 .211 .191 .193
XH2 .081 .121 .055 .232 .186 .180 .139
XH3 .190 .188 .171 .278 .214 .192 .180
XH4 .130 .214 .158 .271 .143 .164 .136
XH5 .205 .240 .146 .226 .157 .141 .122
DM1 .049 .050 .052 .021 .055 .014 .040
DM2 -.007 .048 .004 .026 .027 .059 .062
DM3 .063 .088 .035 .014 .035 .019 .027
DM4 .035 .098 .077 -.008 .029 .022 .014
YD1 .360 .290 .378 .428 .428 .478 .471
YD2 .273 .342 .375 .416 .354 .425 .416
YD3 .340 .328 .367 .449 .414 .509 .519
YD4 .289 .322 .381 .359 .388 .388 .411
Correlation Matrix
XH1 XH2 XH3 XH4 XH5 DM1 DM2
Correlation DSD1 .090 .090 .150 .136 .150 .018 -.020
DSD2 -.017 .035 .097 .100 .035 .048 .084
DSD3 -.022 .007 .103 .046 .024 -.058 -.068
DSD4 .074 .070 .092 .155 .095 -.040 -.046
HI1 .199 .073 .135 .141 .102 .065 .040
HI2 .206 .113 .047 .158 .103 -.039 .040
HI3 .186 .060 .070 .081 .091 .111 .093
HI4 .240 .133 .198 .179 .212 .085 .076
HI5 .150 .067 .054 .065 .099 .009 .032
RRR1 -.161 -.129 -.093 -.113 -.046 -.034 -.013
RRR2 -.123 -.134 -.079 -.026 -.051 -.057 .031
RRR3 -.140 -.139 -.076 -.057 -.044 -.034 .035
RRR4 -.095 -.064 -.041 -.026 -.012 .010 .038
HA1 .230 .154 .140 .200 .175 .034 .021
HA2 .150 .081 .190 .130 .205 .049 -.007
HA3 .199 .121 .188 .214 .240 .050 .048
HA4 .165 .055 .171 .158 .146 .052 .004
CP1 .238 .232 .278 .271 .226 .021 .026
CP2 .211 .186 .214 .143 .157 .055 .027
CP3 .191 .180 .192 .164 .141 .014 .059
CP4 .193 .139 .180 .136 .122 .040 .062
XH1 1.000 .569 .438 .574 .473 .085 .065
XH2 .569 1.000 .492 .483 .501 .010 -.015
XH3 .438 .492 1.000 .564 .590 .035 .043
XH4 .574 .483 .564 1.000 .588 .026 .048
XH5 .473 .501 .590 .588 1.000 .039 .032
DM1 .085 .010 .035 .026 .039 1.000 .686
DM2 .065 -.015 .043 .048 .032 .686 1.000
DM3 .020 -.013 -.015 .022 -.004 .536 .596
DM4 .047 .019 .042 .008 .018 .469 .460
YD1 .324 .217 .160 .206 .196 .098 .047
YD2 .268 .225 .206 .207 .205 .110 .057
YD3 .273 .221 .208 .200 .229 .068 .030
YD4 .321 .258 .217 .305 .255 .119 .001
Correlation Matrix
DM3 DM4 YD1 YD2 YD3 YD4
Correlation DSD1 -.024 -.019 .325 .364 .364 .295
DSD2 .055 .001 .287 .263 .310 .253
DSD3 -.009 -.048 .148 .164 .246 .143
DSD4 -.033 -.107 .271 .247 .309 .274
HI1 .029 .014 .342 .326 .307 .342
HI2 .007 .000 .322 .286 .338 .280
HI3 .070 .040 .388 .348 .366 .298
HI4 .054 .013 .326 .373 .338 .396
HI5 .019 -.040 .398 .382 .402 .345
RRR1 -.091 -.101 -.322 -.248 -.333 -.246
RRR2 -.067 -.082 -.386 -.336 -.394 -.354
RRR3 -.076 -.055 -.328 -.206 -.334 -.263
RRR4 -.023 -.040 -.315 -.279 -.359 -.308
HA1 .078 .112 .302 .306 .337 .255
HA2 .063 .035 .360 .273 .340 .289
HA3 .088 .098 .290 .342 .328 .322
HA4 .035 .077 .378 .375 .367 .381
CP1 .014 -.008 .428 .416 .449 .359
CP2 .035 .029 .428 .354 .414 .388
CP3 .019 .022 .478 .425 .509 .388
CP4 .027 .014 .471 .416 .519 .411
XH1 .020 .047 .324 .268 .273 .321
XH2 -.013 .019 .217 .225 .221 .258
XH3 -.015 .042 .160 .206 .208 .217
XH4 .022 .008 .206 .207 .200 .305
XH5 -.004 .018 .196 .205 .229 .255
DM1 .536 .469 .098 .110 .068 .119
DM2 .596 .460 .047 .057 .030 .001
DM3 1.000 .648 .078 .026 .060 .034
DM4 .648 1.000 .065 .031 .026 .048
YD1 .078 .065 1.000 .609 .679 .586
YD2 .026 .031 .609 1.000 .624 .491
YD3 .060 .026 .679 .624 1.000 .594
YD4 .034 .048 .586 .491 .594 1.000
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .873
Bartlett's Test of
Sphericity
Approx. Chi-Square 7802.493
df 561
Sig. .000
Communalities
Initial Extraction
DSD1 .457 .507
DSD2 .447 .503
DSD3 .456 .483
DSD4 .496 .590
HI1 .503 .514
HI2 .574 .569
HI3 .573 .649
HI4 .519 .516
HI5 .607 .652
RRR1 .465 .509
RRR2 .508 .548
RRR3 .569 .677
RRR4 .522 .588
HA1 .514 .521
HA2 .519 .547
HA3 .537 .586
HA4 .554 .650
CP1 .490 .484
CP2 .647 .561
CP3 .798 .780
CP4 .843 .962
XH1 .507 .534
XH2 .470 .508
XH3 .501 .527
XH4 .552 .610
XH5 .505 .565
DM1 .550 .580
DM2 .584 .644
DM3 .562 .639
DM4 .478 .476
YD1 .613 .681
YD2 .531 .562
YD3 .629 .676
YD4 .537 .516
Extraction Method: Principal
Axis Factoring.
Total Variance Explained
Factor
Initial Eigenvalues Extraction Sums of Squared Loadings
Rotation
Sums of
Squared
Loadingsa
Total
% of
Variance
Cumulative
% Total
% of
Variance
Cumulative
% Total
1 8.849 26.028 26.028 8.461 24.887 24.887 4.952
2 2.833 8.331 34.359 2.403 7.068 31.954 3.847
3 2.732 8.035 42.394 2.311 6.797 38.751 5.793
4 2.442 7.181 49.575 2.015 5.927 44.679 4.235
5 1.947 5.726 55.301 1.497 4.403 49.082 4.632
6 1.814 5.334 60.635 1.393 4.098 53.180 2.391
7 1.458 4.288 64.923 1.173 3.451 56.631 3.572
8 1.059 3.114 68.037 .659 1.937 58.568 6.638
9 .774 2.277 70.314
10 .668 1.965 72.279
11 .642 1.889 74.168
12 .626 1.840 76.009
13 .595 1.750 77.758
14 .563 1.657 79.415
15 .554 1.629 81.044
16 .504 1.481 82.525
17 .484 1.425 83.949
18 .465 1.369 85.318
19 .457 1.345 86.664
20 .422 1.241 87.904
21 .414 1.217 89.122
22 .395 1.163 90.285
23 .361 1.062 91.347
24 .352 1.036 92.382
25 .343 1.008 93.390
26 .335 .984 94.374
27 .308 .906 95.280
28 .288 .847 96.127
29 .282 .829 96.956
30 .272 .801 97.757
31 .231 .679 98.436
32 .225 .662 99.097
33 .212 .623 99.720
34 .095 .280 100.000
Extraction Method: Principal Axis Factoring.
a. When factors are correlated, sums of squared loadings cannot be added to obtain a total
variance.
Factor Matrixa
Factor
1 2 3 4 5 6 7 8
YD3 .746
CP4 .736 .613
YD1 .725
CP3 .717
YD2 .665
YD4 .658
CP2 .632
CP1 .622
HI5 .555 .540
HA3 .532
HA4 .530
HI4 .528
RRR2 -.519
HA1 .506
HA2
RRR3
RRR1
RRR4
XH4
XH5
XH1
XH3
XH2
DM3 -.619
DM2 .506 -.571
DM1 -.549
DM4 -.511
HI2 .545
HI3 .531 .537
HI1
DSD4 .508
DSD1
DSD2
DSD3
Extraction Method: Principal Axis Factoring.a
a. 8 factors extracted. 11 iterations required.
Pattern Matrixa
Factor
1 2 3 4 5 6 7 8
HI3 .802
HI5 .774
HI2 .769
HI1 .720
HI4 .670
XH4 .788
XH5 .749
XH3 .729
XH2 .706
XH1 .669
CP4 1.028
CP3 .852
CP2 .685
CP1 .524
RRR3 -.848
RRR4 -.749
RRR1 -.696
RRR2 -.658
HA4 .784
HA3 .735
HA2 .731
HA1 .703
DM2 .800
DM3 .797
DM1 .751
DM4 .674
DSD4 .767
DSD3 .701
DSD2 .688
DSD1 .643
YD1 .818
YD3 .735
YD2 .712
YD4 .605
Extraction Method: Principal Axis Factoring.
Rotation Method: Promax with Kaiser Normalization.a
a. Rotation converged in 6 iterations.
Structure Matrix
Factor
1 2 3 4 5 6 7 8
HI5 .799
HI3 .795
HI2 .747
HI1 .714
HI4 .705
XH4 .776
XH5 .747
XH3 .718
XH1 .708
XH2 .695
CP4 .976 .550
CP3 .881 .551
CP2 .744
CP1 .660 .509
RRR3 -.816
RRR4 -.764
RRR2 -.727
RRR1 -.708
HA4 .791
HA3 .751
HA2 .736
HA1 .719
DM3 .795
DM2 .793
DM1 .755
DM4 .680
DSD4 .763
DSD2 .701
DSD1 .694
DSD3 .673
YD1 .515 .823
YD3 .551 .816
YD2 .746
YD4 .709
Extraction Method: Principal Axis Factoring.
Rotation Method: Promax with Kaiser Normalization.
Factor Correlation Matrix
Factor 1 2 3 4 5 6 7 8
1 1.000 .227 .451 .270 .297 .069 .199 .564
2 .227 1.000 .295 .124 .300 .046 .156 .389
3 .451 .295 1.000 .424 .456 .049 .375 .597
4 .270 .124 .424 1.000 .343 .050 .279 .496
5 .297 .300 .456 .343 1.000 .086 .289 .526
6 .069 .046 .049 .050 .086 1.000 -.035 .089
7 .199 .156 .375 .279 .289 -.035 1.000 .447
8 .564 .389 .597 .496 .526 .089 .447 1.000
Extraction Method: Principal Axis Factoring.
Rotation Method: Promax with Kaiser Normalization.
FACTOR
/VARIABLES YD1 YD2 YD3 YD4
/MISSING LISTWISE
/ANALYSIS YD1 YD2 YD3 YD4
/PRINT UNIVARIATE INITIAL CORRELATION KMO EXTRACTION ROTATION
/FORMAT SORT BLANK(.5)
/CRITERIA MINEIGEN(1) ITERATE(25)
/EXTRACTION PAF
/CRITERIA ITERATE(25)
/ROTATION PROMAX(4)
/METHOD=CORRELATION.
Factor Analysis
Notes
Output Created 21-APRIL-2021 23:44:47
Comments
Input Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 456
Missing Value Handling Definition of Missing MISSING=EXCLUDE: User-
defined missing values are
treated as missing.
Cases Used LISTWISE: Statistics are based
on cases with no missing values
for any variable used.
Syntax FACTOR
/VARIABLES YD1 YD2 YD3
YD4
/MISSING LISTWISE
/ANALYSIS YD1 YD2 YD3 YD4
/PRINT UNIVARIATE INITIAL
CORRELATION KMO
EXTRACTION ROTATION
/FORMAT SORT BLANK(.5)
/CRITERIA MINEIGEN(1)
ITERATE(25)
/EXTRACTION PAF
/CRITERIA ITERATE(25)
/ROTATION PROMAX(4)
/METHOD=CORRELATION.
Resources Processor Time 00:00:00.02
Elapsed Time 00:00:00.01
Maximum Memory Required 3008 (2.938K) bytes
Descriptive Statistics
Mean Std. Deviation Analysis N
YD1 3.38 .819 443
YD2 3.42 .802 443
YD3 3.36 .784 443
YD4 3.44 .833 443
Correlation Matrix
YD1 YD2 YD3 YD4
Correlation YD1 1.000 .609 .679 .586
YD2 .609 1.000 .624 .491
YD3 .679 .624 1.000 .594
YD4 .586 .491 .594 1.000
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .819
Bartlett's Test of
Sphericity
Approx. Chi-Square 777.872
df 6
Sig. .000
Communalities
Initial Extraction
YD1 .551 .679
YD2 .459 .534
YD3 .568 .707
YD4 .421 .489
Extraction Method: Principal
Axis Factoring.
Total Variance Explained
Factor
Initial Eigenvalues Extraction Sums of Squared Loadings
Total % of Variance Cumulative % Total % of Variance Cumulative %
1 2.796 69.896 69.896 2.409 60.219 60.219
2 .511 12.773 82.669
3 .374 9.343 92.012
4 .320 7.988 100.000
Extraction Method: Principal Axis Factoring.
Factor Matrixa
Factor
1
YD3 .841
YD1 .824
YD2 .731
YD4 .699
Extraction Method:
Principal Axis
Factoring.a
a. 1 factors
extracted. 7
iterations required.
Rotated Factor
Matrixa
a. Only one factor was
extracted. The solution
cannot be rotated.
FACTOR
/VARIABLES LC1 LC2 LC3
/MISSING LISTWISE
/ANALYSIS LC1 LC2 LC3
/PRINT UNIVARIATE INITIAL CORRELATION KMO EXTRACTION ROTATION
/FORMAT SORT BLANK(.5)
/CRITERIA MINEIGEN(1) ITERATE(25)
/EXTRACTION PAF
/CRITERIA ITERATE(25)
/ROTATION PROMAX(4)
/METHOD=CORRELATION.
Factor Analysis
Notes
Output Created 21-APRIL-2021 23:44:58
Comments
Input Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File 456
Missing Value Handling Definition of Missing MISSING=EXCLUDE: User-
defined missing values are
treated as missing.
Cases Used LISTWISE: Statistics are based
on cases with no missing values
for any variable used.
Syntax FACTOR
/VARIABLES LC1 LC2 LC3
/MISSING LISTWISE
/ANALYSIS LC1 LC2 LC3
/PRINT UNIVARIATE INITIAL
CORRELATION KMO
EXTRACTION ROTATION
/FORMAT SORT BLANK(.5)
/CRITERIA MINEIGEN(1)
ITERATE(25)
/EXTRACTION PAF
/CRITERIA ITERATE(25)
/ROTATION PROMAX(4)
/METHOD=CORRELATION.
Resources Processor Time 00:00:00.02
Elapsed Time 00:00:00.02
Maximum Memory Required 1984 (1.938K) bytes
Descriptive Statistics
Mean Std. Deviation Analysis N
LC1 3.36 .756 443
LC2 3.42 .819 443
LC3 3.38 .791 443
Correlation Matrix
LC1 LC2 LC3
Correlation LC1 1.000 .683 .577
LC2 .683 1.000 .686
LC3 .577 .686 1.000
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .712
Bartlett's Test of
Sphericity
Approx. Chi-Square 574.812
df 3
Sig. .000
Communalities
Initial Extraction
LC1 .488 .576
LC2 .594 .808
LC3 .493 .581
Extraction Method: Principal
Axis Factoring.
Total Variance Explained
Factor
Initial Eigenvalues Extraction Sums of Squared Loadings
Total % of Variance Cumulative % Total % of Variance Cumulative %
1 2.298 76.616 76.616 1.965 65.494 65.494
2 .423 14.086 90.702
3 .279 9.298 100.000
Extraction Method: Principal Axis Factoring.
Factor Matrixa
Factor
1
LC2 .899
LC3 .762
LC1 .759
Extraction Method:
Principal Axis
Factoring.a
a. 1 factors
extracted. 12
iterations required.
Rotated Factor
Matrixa
a. Only one factor was
extracted. The solution
cannot be rotated.
Standardized Regression Weights: (Group number 1 - Default model)
Estimate
HI3 <--- HI .788
HI5 <--- HI .794
HI2 <--- HI .740
HI1 <--- HI .722
HI4 <--- HI .706
Estimate
XH4 <--- XH .774
XH5 <--- XH .749
XH3 <--- XH .752
XH2 <--- XH .647
XH1 <--- XH .704
CP4 <--- CP .924
CP3 <--- CP .939
CP2 <--- CP .811
CP1 <--- CP .650
HA4 <--- HA .773
HA3 <--- HA .752
HA2 <--- HA .745
HA1 <--- HA .717
DM2 <--- DM .859
DM3 <--- DM .684
DM1 <--- DM .798
DM4 <--- DM .556
DSD4 <--- DSD .771
DSD3 <--- DSD .636
DSD2 <--- DSD .692
DSD1 <--- DSD .718
YD1 <--- YD .813
YD3 <--- YD .837
YD2 <--- YD .737
YD4 <--- YD .713
RRR1 <--- RR .710
RRR2 <--- RR .742
RRR3 <--- RR .790
RRR4 <--- RR .772
Regression Weights: (Group number 1 - Default model)
Estimate S.E. C.R. P Label
HI3 <--- HI 1.000
HI5 <--- HI 1.182 .069 17.099 ***
HI2 <--- HI .911 .058 15.812 ***
HI1 <--- HI .852 .055 15.366 ***
HI4 <--- HI .937 .063 14.985 ***
XH4 <--- XH 1.000
XH5 <--- XH .881 .057 15.323 ***
XH3 <--- XH .930 .063 14.752 ***
XH2 <--- XH .785 .061 12.768 ***
XH1 <--- XH .837 .063 13.327 ***
CP4 <--- CP 1.000
CP3 <--- CP 1.005 .032 31.299 ***
CP2 <--- CP .866 .039 22.260 ***
CP1 <--- CP .721 .043 16.732 ***
HA4 <--- HA 1.000
HA3 <--- HA 1.060 .071 15.033 ***
HA2 <--- HA 1.020 .068 14.903 ***
HA1 <--- HA 1.060 .074 14.353 ***
DM2 <--- DM 1.000
DM3 <--- DM .693 .050 13.885 ***
DM1 <--- DM 1.064 .069 15.384 ***
DM4 <--- DM .622 .056 11.032 ***
Estimate S.E. C.R. P Label
DSD4 <--- DSD 1.000
DSD3 <--- DSD .787 .065 12.041 ***
DSD2 <--- DSD .862 .066 12.992 ***
DSD1 <--- DSD .814 .061 13.388 ***
YD1 <--- YD 1.000
YD3 <--- YD .986 .051 19.373 ***
YD2 <--- YD .888 .054 16.537 ***
YD4 <--- YD .893 .056 15.888 ***
RRR1 <--- RR 1.000
RRR2 <--- RR .946 .068 13.843 ***
RRR3 <--- RR 1.016 .070 14.552 ***
RRR4 <--- RR .983 .069 14.301 ***
Thang đo Độ tin cậy tổng hợp (CR) Phương sai trích (AVE)
Hiệu quả kỳ vọng (HI) 0.8657 0.5637
Ảnh hưởng xã hội (XH) 0.8478 0.5280
Giá trị chi phí (CP) 0.9032 0.7039
Hình ảnh thương hiệu (HA) 0.8346 0.5580
Tính đổi mới (DM) 0.8195 0.5379
Nỗ lực kỳ vọng (DSD) 0.7982 0.5983
Cảm nhận rủi ro (RR) 0.8404 0.5687
Ý định lựa chọn (YD) 0.8583 0.6033
Regression Weights: (Group number 1 - Default model)
Estimate S.E. C.R. P Label
YD <--- HI .351 .051 6.925 *** par_51
YD <--- XH .186 .042 4.449 *** par_52
YD <--- CP .179 .040 4.454 *** par_53
YD <--- RR -.271 .053 -5.083 *** par_54
YD <--- HA .256 .054 4.735 *** par_55
YD <--- DM .021 .030 .707 .480 par_56
YD <--- DSD .249 .045 5.469 *** par_57
LC <--- YD .813 .050 16.113 *** par_50
HI3 <--- HI 1.000
HI5 <--- HI 1.188 .069 17.125 *** par_1
HI2 <--- HI .912 .058 15.781 *** par_2
HI1 <--- HI .856 .056 15.381 *** par_3
HI4 <--- HI .938 .063 14.935 *** par_4
XH4 <--- XH 1.000
XH5 <--- XH .882 .058 15.315 *** par_5
XH3 <--- XH .932 .063 14.762 *** par_6
XH2 <--- XH .787 .062 12.798 *** par_7
XH1 <--- XH .839 .063 13.346 *** par_8
CP4 <--- CP 1.000
CP3 <--- CP 1.006 .032 31.411 *** par_9
CP2 <--- CP .866 .039 22.262 *** par_10
CP1 <--- CP .721 .043 16.732 *** par_11
RRR1 <--- RR 1.000
RRR2 <--- RR .951 .068 13.901 *** par_12
RRR3 <--- RR 1.014 .070 14.519 *** par_13
RRR4 <--- RR .984 .069 14.308 *** par_14
HA4 <--- HA 1.000
Estimate S.E. C.R. P Label
HA3 <--- HA 1.055 .070 15.086 *** par_15
HA2 <--- HA 1.016 .068 14.964 *** par_16
HA1 <--- HA 1.055 .073 14.379 *** par_17
DM2 <--- DM 1.000
DM3 <--- DM .692 .050 13.878 *** par_18
DM1 <--- DM 1.062 .069 15.369 *** par_19
DM4 <--- DM .621 .056 11.026 *** par_20
DSD4 <--- DSD 1.000
DSD3 <--- DSD .781 .065 12.055 *** par_21
DSD2 <--- DSD .856 .066 13.030 *** par_22
DSD1 <--- DSD .813 .060 13.495 *** par_23
YD1 <--- YD 1.000
YD3 <--- YD .969 .051 18.918 *** par_24
YD2 <--- YD .883 .054 16.310 *** par_25
YD4 <--- YD .914 .056 16.232 *** par_26
LC1 <--- LC 1.000
LC2 <--- LC 1.177 .062 19.009 *** par_48
LC3 <--- LC 1.047 .060 17.327 *** par_49
Standardized Regression Weights: (Group number 1 - Default model)
Estimate
YD <--- HI .290
YD <--- XH .168
YD <--- CP .194
YD <--- RR .220
YD <--- HA .208
YD <--- DM .024
YD <--- DSD .227
LC <--- YD .899
HI3 <--- HI .786
HI5 <--- HI .796
HI2 <--- HI .740
HI1 <--- HI .723
HI4 <--- HI .705
XH4 <--- XH .773
XH5 <--- XH .748
XH3 <--- XH .752
XH2 <--- XH .648
XH1 <--- XH .705
CP4 <--- CP .924
CP3 <--- CP .940
CP2 <--- CP .810
CP1 <--- CP .650
RR3 <--- RR .787
RR4 <--- RR .772
RR1 <--- RR .709
RR2 <--- RR .745
HA4 <--- HA .776
HA3 <--- HA .751
HA2 <--- HA .745
HA1 <--- HA .715
DM2 <--- DM .860
DM3 <--- DM .684
DM1 <--- DM .798
Estimate
DM4 <--- DM .556
DSD4 <--- DSD .773
DSD3 <--- DSD .634
DSD2 <--- DSD .690
DSD1 <--- DSD .719
YD1 <--- YD .802
YD3 <--- YD .811
YD2 <--- YD .723
YD4 <--- YD .720
LC1 <--- LC .786
LC2 <--- LC .854
LC3 <--- LC .786
CMIN
Model NPAR CMIN DF P CMIN/DF
Default model 107 1053.757 596 .000 1.768
Saturated model 703 .000 0
Independence model 37 9195.093 666 .000 13.806
RMR, GFI
Model RMR GFI AGFI PGFI
Default model .025 .890 .870 .754
Saturated model .000 1.000
Independence model .161 .253 .211 .240
Baseline Comparisons
Model
NFI
Delta1
RFI
rho1
IFI
Delta2
TLI
rho2
CFI
Default model .885 .872 .947 .940 .946
Saturated model 1.000
1.000
1.000
Independence model .000 .000 .000 .000 .000
Parsimony-Adjusted Measures
Model PRATIO PNFI PCFI
Default model .895 .792 .847
Saturated model .000 .000 .000
Independence model 1.000 .000 .000
NCP
Model NCP LO 90 HI 90
Default model 457.757 371.210 552.145
Saturated model .000 .000 .000
Independence model 8529.093 8222.633 8841.991
FMIN
Model FMIN F0 LO 90 HI 90
Default model 2.384 1.036 .840 1.249
Saturated model .000 .000 .000 .000
Independence model 20.803 19.297 18.603 20.005
RMSEA
Model RMSEA LO 90 HI 90 PCLOSE
Default model .042 .038 .046 1.000
Independence model .170 .167 .173 .000
AIC
Model AIC BCC BIC CAIC
Default model 1267.757 1287.885 1705.769 1812.769
Saturated model 1406.000 1538.248 4283.780 4986.780
Independence model 9269.093 9276.053 9420.555 9457.555
ECVI
Model ECVI LO 90 HI 90 MECVI
Default model 2.868 2.672 3.082 2.914
Saturated model 3.181 3.181 3.181 3.480
Independence model 20.971 20.277 21.679 20.987
Bootstrap 1000 lần
Parameter SE SE-SE Mean Bias
SE-
Bias
CR
YD <--- HI 0.039 0.001 0.29 0 0.001 0
YD <--- XH 0.038 0.001 0.169 0.001 0.001 1
YD <--- CP 0.043 0.001 0.191 -0.002 0.001 -2
YD <--- RR 0.039 0.001 0.223 0.002 0.001 2
YD <--- HA 0.043 0.001 0.209 0.001 0.001 1
YD <--- DM 0.034 0.001 0.026 0.002 0.001 2
YD <--- DSD 0.041 0.001 0.225 -0.001 0.001 -1
LC <--- YD 0.019 0 0.899 0 0.001 0
PHÂN TÍCH CẤU TRÚC ĐA NHÓM
❖ Giới tính
Nhóm nữ giới
Regression Weights: (NHOM NU GIOI - Unconstrained)
Estimate S.E. C.R. P Label
YD <--- HI .315 .078 4.032 *** b2_1
YD <--- XH .178 .058 3.066 .002 b3_1
YD <--- CP .214 .062 3.443 *** b4_1
YD <--- RR .326 .094 3.453 *** b5_1
YD <--- HA .206 .070 2.946 .003 b6_1
YD <--- DM .028 .048 .590 .555 b7_1
YD <--- DSD .324 .077 4.213 *** b8_1
LC <--- YD .575 .061 9.432 *** b1_1
HI3 <--- HI 1.000
HI5 <--- HI 1.287 .103 12.527 *** a1_1
HI2 <--- HI 1.074 .090 11.987 *** a2_1
HI1 <--- HI .946 .086 10.973 *** a3_1
HI4 <--- HI .950 .092 10.274 *** a4_1
XH4 <--- XH 1.000
XH5 <--- XH .845 .074 11.377 *** a5_1
XH3 <--- XH .823 .078 10.533 *** a6_1
XH2 <--- XH .858 .085 10.148 *** a7_1
XH1 <--- XH .899 .085 10.539 *** a8_1
CP4 <--- CP 1.000
CP3 <--- CP .999 .052 19.038 *** a9_1
CP2 <--- CP .905 .067 13.404 *** a10_1
CP1 <--- CP .694 .063 10.959 *** a11_1
RR3 <--- RR 1.000
RR4 <--- RR 1.069 .116 9.205 *** a12_1
RR1 <--- RR .959 .120 7.982 *** a13_1
RR2 <--- RR 1.024 .118 8.678 *** a14_1
HA4 <--- HA 1.000
HA3 <--- HA .933 .090 10.318 *** a15_1
HA2 <--- HA .918 .087 10.505 *** a16_1
Estimate S.E. C.R. P Label
HA1 <--- HA 1.025 .103 9.968 *** a17_1
DM2 <--- DM 1.000
DM3 <--- DM .803 .078 10.359 *** a18_1
DM1 <--- DM 1.131 .103 11.004 *** a19_1
DM4 <--- DM .744 .085 8.761 *** a20_1
DSD4 <--- DSD 1.000
DSD3 <--- DSD .857 .097 8.853 *** a21_1
DSD2 <--- DSD .841 .099 8.518 *** a22_1
DSD1 <--- DSD .960 .099 9.701 *** a23_1
YD1 <--- YD 1.000
YD3 <--- YD 1.021 .076 13.425 *** a24_1
YD2 <--- YD .857 .080 10.686 *** a25_1
YD4 <--- YD .854 .082 10.411 *** a26_1
LC1 <--- LC 1.000
LC2 <--- LC .815 .085 9.572 *** a27_1
LC3 <--- LC 1.060 .118 8.963 *** a28_1
Nhóm nam giới
Regression Weights: (NHOM NAM GIOI - Unconstrained)
Estimate S.E. C.R. P Label
YD <--- HI .340 .066 5.185 *** b2_2
YD <--- XH .058 .062 .926 .354 b3_2
YD <--- CP .070 .056 1.246 .213 b4_2
YD <--- RR .144 .060 2.410 .016 b5_2
YD <--- HA .292 .103 2.849 .004 b6_2
YD <--- DM -.013 .037 -.366 .714 b7_2
YD <--- DSD .127 .054 2.369 .018 b8_2
LC <--- YD .600 .110 5.453 *** b1_2
HI3 <--- HI 1.000
HI5 <--- HI .904 .095 9.472 *** a1_2
HI2 <--- HI .633 .076 8.307 *** a2_2
HI1 <--- HI .659 .073 9.037 *** a3_2
HI4 <--- HI .812 .088 9.238 *** a4_2
XH4 <--- XH 1.000
XH5 <--- XH .897 .099 9.095 *** a5_2
XH3 <--- XH 1.055 .117 9.002 *** a6_2
XH2 <--- XH .612 .093 6.554 *** a7_2
XH1 <--- XH .657 .097 6.746 *** a8_2
CP4 <--- CP 1.000
CP3 <--- CP 1.053 .061 17.119 *** a9_2
CP2 <--- CP .926 .066 14.097 *** a10_2
CP1 <--- CP .628 .074 8.504 *** a11_2
RR3 <--- RR 1.000
RR4 <--- RR .950 .084 11.261 *** a12_2
RR1 <--- RR .933 .092 10.167 *** a13_2
RR2 <--- RR .745 .074 10.136 *** a14_2
HA4 <--- HA 1.000
HA3 <--- HA 1.161 .146 7.967 *** a15_2
HA2 <--- HA 1.157 .146 7.932 *** a16_2
HA1 <--- HA 1.109 .142 7.790 *** a17_2
DM2 <--- DM 1.000
DM3 <--- DM .588 .065 9.093 *** a18_2
DM1 <--- DM .993 .093 10.722 *** a19_2
DM4 <--- DM .504 .075 6.693 *** a20_2
Estimate S.E. C.R. P Label
DSD4 <--- DSD 1.000
DSD3 <--- DSD .682 .097 7.055 *** a21_2
DSD2 <--- DSD .937 .103 9.115 *** a22_2
DSD1 <--- DSD .595 .079 7.507 *** a23_2
YD1 <--- YD 1.000
YD3 <--- YD .896 .118 7.616 *** a24_2
YD2 <--- YD .977 .129 7.557 *** a25_2
YD4 <--- YD 1.005 .135 7.442 *** a26_2
LC1 <--- LC 1.000
LC2 <--- LC .674 .131 5.155 *** a27_2
LC3 <--- LC 1.347 .244 5.522 *** a28_2
Assuming model Unconstrained to be correct:
Model DF CMIN P
NFI
Delta-1
IFI
Delta-2
RFI
rho-1
TLI
rho2
Structural weights 36 82.380 .000 .010 .011 .002 .002
❖ Độ tuổi
Nhóm dưới 18 tuổi
Regression Weights: (duoi 18 - Unconstrained)
Estimate S.E. C.R. P Label
YD <--- HI .385 .138 2.797 .005 b2_1
YD <--- XH .101 .093 1.092 .275 b3_1
YD <--- CP .039 .118 .332 .740 b4_1
YD <--- RR .289 .186 1.559 .119 b5_1
YD <--- HA .062 .107 .582 .561 b6_1
YD <--- DM .035 .069 .507 .612 b7_1
YD <--- DSD .762 .214 3.565 *** b8_1
LC <--- YD .405 .094 4.314 *** b1_1
HI3 <--- HI 1.000
HI5 <--- HI 1.202 .155 7.768 *** a1_1
HI2 <--- HI .778 .133 5.868 *** a2_1
HI1 <--- HI .775 .126 6.140 *** a3_1
HI4 <--- HI .750 .144 5.206 *** a4_1
XH4 <--- XH 1.000
XH5 <--- XH .659 .102 6.483 *** a5_1
XH3 <--- XH .628 .117 5.390 *** a6_1
XH2 <--- XH .810 .150 5.403 *** a7_1
XH1 <--- XH .914 .124 7.349 *** a8_1
CP4 <--- CP 1.000
CP3 <--- CP .982 .096 10.262 *** a9_1
CP2 <--- CP 1.033 .104 9.944 *** a10_1
CP1 <--- CP .607 .089 6.800 *** a11_1
RR3 <--- RR 1.000
RR4 <--- RR .904 .170 5.304 *** a12_1
RR1 <--- RR 1.200 .215 5.574 *** a13_1
RR2 <--- RR .938 .183 5.115 *** a14_1
HA4 <--- HA 1.000
HA3 <--- HA .668 .126 5.308 *** a15_1
HA2 <--- HA .792 .133 5.974 *** a16_1
HA1 <--- HA .878 .145 6.058 *** a17_1
DM2 <--- DM 1.000
DM3 <--- DM .744 .110 6.751 *** a18_1
DM1 <--- DM 1.057 .136 7.779 *** a19_1
Estimate S.E. C.R. P Label
DM4 <--- DM .690 .115 6.023 *** a20_1
DSD4 <--- DSD 1.000
DSD3 <--- DSD 1.236 .227 5.455 *** a21_1
DSD2 <--- DSD 1.251 .236 5.293 *** a22_1
DSD1 <--- DSD 1.091 .221 4.944 *** a23_1
YD1 <--- YD 1.000
YD3 <--- YD 1.053 .131 8.049 *** a24_1
YD2 <--- YD 1.026 .131 7.849 *** a25_1
YD4 <--- YD .818 .150 5.458 *** a26_1
LC1 <--- LC 1.000
LC2 <--- LC 1.603 .403 3.975 *** a27_1
LC3 <--- LC 1.779 .441 4.035 *** a28_1
Nhóm từ 18 đến 30
Regression Weights: (tu 18 den 30 - Unconstrained)
Estimate S.E. C.R. P Label
YD <--- HI .149 .087 1.724 .085 b2_2
YD <--- XH .140 .058 2.410 .016 b3_2
YD <--- CP .150 .061 2.449 .014 b4_2
YD <--- RR .222 .085 2.626 .009 b5_2
YD <--- HA .208 .083 2.506 .012 b6_2
YD <--- DM .072 .054 1.327 .185 b7_2
YD <--- DSD .141 .070 2.011 .044 b8_2
LC <--- YD .226 .079 2.866 .004 b1_2
HI3 <--- HI 1.000
HI5 <--- HI 1.251 .134 9.335 *** a1_2
HI2 <--- HI 1.135 .117 9.668 *** a2_2
HI1 <--- HI .999 .114 8.771 *** a3_2
HI4 <--- HI 1.181 .129 9.164 *** a4_2
XH4 <--- XH 1.000
XH5 <--- XH .905 .088 10.245 *** a5_2
XH3 <--- XH .908 .094 9.613 *** a6_2
XH2 <--- XH .833 .090 9.219 *** a7_2
XH1 <--- XH .931 .102 9.126 *** a8_2
CP4 <--- CP 1.000
CP3 <--- CP .941 .059 16.041 *** a9_2
CP2 <--- CP .742 .080 9.300 *** a10_2
CP1 <--- CP .648 .083 7.785 *** a11_2
RR3 <--- RR 1.000
RR4 <--- RR 1.135 .133 8.507 *** a12_2
RR1 <--- RR .947 .131 7.227 *** a13_2
RR2 <--- RR .929 .125 7.450 *** a14_2
HA4 <--- HA 1.000
HA3 <--- HA 1.042 .136 7.644 *** a15_2
HA2 <--- HA 1.000 .131 7.648 *** a16_2
HA1 <--- HA 1.218 .158 7.691 *** a17_2
DM2 <--- DM 1.000
DM3 <--- DM .755 .094 8.011 *** a18_2
DM1 <--- DM 1.153 .132 8.709 *** a19_2
DM4 <--- DM .679 .106 6.428 *** a20_2
DSD4 <--- DSD 1.000
DSD3 <--- DSD .878 .120 7.340 *** a21_2
DSD2 <--- DSD .710 .109 6.544 *** a22_2
DSD1 <--- DSD .812 .109 7.457 *** a23_2
Estimate S.E. C.R. P Label
YD1 <--- YD 1.000
YD3 <--- YD 1.097 .155 7.065 *** a24_2
YD2 <--- YD .922 .157 5.861 *** a25_2
YD4 <--- YD .790 .145 5.450 *** a26_2
LC1 <--- LC 1.000
LC2 <--- LC -.419 .216 -1.942 .052 a27_2
LC3 <--- LC 1.659 .602 2.756 .006 a28_2
Nhóm từ 30 đến 42
Regression Weights: (tu 30 den 42 - Unconstrained)
Estimate S.E. C.R. P Label
YD <--- HI .236 .083 2.838 .005 b2_3
YD <--- XH .196 .113 1.740 .082 b3_3
YD <--- CP .111 .119 .937 .349 b4_3
YD <--- RR .239 .133 1.797 .072 b5_3
YD <--- HA -.197 .252 -.781 .435 b6_3
YD <--- DM -.043 .060 -.725 .468 b7_3
YD <--- DSD .130 .104 1.255 .210 b8_3
LC <--- YD .237 .142 1.669 .095 b1_3
HI3 <--- HI 1.000
HI5 <--- HI .713 .107 6.648 *** a1_3
HI2 <--- HI .591 .100 5.941 *** a2_3
HI1 <--- HI .726 .095 7.629 *** a3_3
HI4 <--- HI .514 .097 5.294 *** a4_3
XH4 <--- XH 1.000
XH5 <--- XH .771 .129 5.961 *** a5_3
XH3 <--- XH .945 .159 5.930 *** a6_3
XH2 <--- XH .523 .129 4.046 *** a7_3
XH1 <--- XH .711 .129 5.519 *** a8_3
CP4 <--- CP 1.000
CP3 <--- CP .920 .108 8.547 *** a9_3
CP2 <--- CP 1.124 .102 10.974 *** a10_3
CP1 <--- CP .660 .113 5.859 *** a11_3
RR3 <--- RR 1.000
RR4 <--- RR .926 .165 5.617 *** a12_3
RR1 <--- RR .918 .182 5.046 *** a13_3
RR2 <--- RR .847 .164 5.161 *** a14_3
HA4 <--- HA 1.000
HA3 <--- HA 1.442 .292 4.937 *** a15_3
HA2 <--- HA 1.256 .277 4.543 *** a16_3
HA1 <--- HA 1.321 .282 4.685 *** a17_3
DM2 <--- DM 1.000
DM3 <--- DM .456 .083 5.510 *** a18_3
DM1 <--- DM .873 .115 7.605 *** a19_3
DM4 <--- DM .443 .098 4.507 *** a20_3
DSD4 <--- DSD 1.000
DSD3 <--- DSD 1.010 .165 6.111 *** a21_3
DSD2 <--- DSD 1.135 .180 6.310 *** a22_3
DSD1 <--- DSD .656 .151 4.351 *** a23_3
YD1 <--- YD 1.000
YD3 <--- YD 1.218 .261 4.662 *** a24_3
YD2 <--- YD 1.245 .272 4.581 *** a25_3
YD4 <--- YD .840 .221 3.799 *** a26_3
LC1 <--- LC 1.000
Estimate S.E. C.R. P Label
LC2 <--- LC .002 .091 .027 .978 a27_3
LC3 <--- LC -.007 .268 -.027 .978 a28_3
Nhóm trên 42
Regression Weights: (tren 42 - Unconstrained)
Estimate S.E. C.R. P Label
YD <--- HI .402 .126 3.183 .001 b2_4
YD <--- XH -.157 .110 -1.418 .156 b3_4
YD <--- CP .147 .070 2.084 .037 b4_4
YD <--- RR .131 .086 1.514 .130 b5_4
YD <--- HA .455 .159 2.861 .004 b6_4
YD <--- DM -.023 .072 -.318 .750 b7_4
YD <--- DSD .059 .069 .850 .395 b8_4
LC <--- YD .053 .101 .527 .598 b1_4
HI3 <--- HI 1.000
HI5 <--- HI 1.259 .196 6.424 *** a1_4
HI2 <--- HI .703 .138 5.078 *** a2_4
HI1 <--- HI .473 .126 3.758 *** a3_4
HI4 <--- HI 1.202 .180 6.693 *** a4_4
XH4 <--- XH 1.000
XH5 <--- XH 1.037 .204 5.092 *** a5_4
XH3 <--- XH 1.147 .225 5.106 *** a6_4
XH2 <--- XH .655 .177 3.701 *** a7_4
XH1 <--- XH .373 .161 2.323 .020 a8_4
CP4 <--- CP 1.000
CP3 <--- CP 1.090 .068 16.073 *** a9_4
CP2 <--- CP .753 .087 8.659 *** a10_4
CP1 <--- CP .502 .098 5.126 *** a11_4
RR3 <--- RR 1.000
RR4 <--- RR .933 .103 9.065 *** a12_4
RR1 <--- RR .829 .111 7.455 *** a13_4
RR2 <--- RR .682 .078 8.768 *** a14_4
HA4 <--- HA 1.000
HA3 <--- HA 1.722 .297 5.805 *** a15_4
HA2 <--- HA 1.298 .244 5.314 *** a16_4
HA1 <--- HA 1.065 .227 4.698 *** a17_4
DM2 <--- DM 1.000
DM3 <--- DM .858 .102 8.384 *** a18_4
DM1 <--- DM 1.166 .144 8.106 *** a19_4
DM4 <--- DM .676 .126 5.380 *** a20_4
DSD4 <--- DSD 1.000
DSD3 <--- DSD .440 .122 3.594 *** a21_4
DSD2 <--- DSD .791 .123 6.419 *** a22_4
DSD1 <--- DSD .495 .089 5.567 *** a23_4
YD1 <--- YD 1.000
YD3 <--- YD .544 .132 4.138 *** a24_4
YD2 <--- YD .580 .156 3.709 *** a25_4
YD4 <--- YD .726 .174 4.169 *** a26_4
LC1 <--- LC 1.000
LC2 <--- LC 7.851 14.871 .528 .598 a27_4
LC3 <--- LC 11.208 21.231 .528 .598 a28_4
Assuming model Unconstrained to be correct:
Model DF CMIN P
NFI
Delta-1
IFI
Delta-2
RFI
rho-1
TLI
rho2
Structural weights 108 268.421 .000 .026 .034 .008 .011
PHÂN TÍCH BIẾN ĐIỀU TIẾT
CMIN
Model NPAR CMIN DF P CMIN/DF
Default model 42 21.345 13 .066 1.642
Saturated model 55 .000 0
Independence model 10 1262.379 45 .000 28.053
RMR, GFI
Model RMR GFI AGFI PGFI
Default model .016 .991 .960 .234
Saturated model .000 1.000
Independence model .119 .520 .414 .426
Baseline Comparisons
Model
NFI
Delta1
RFI
rho1
IFI
Delta2
TLI
rho2
CFI
Default model .983 .941 .993 .976 .993
Saturated model 1.000
1.000
1.000
Independence model .000 .000 .000 .000 .000
RMSEA
Model RMSEA LO 90 HI 90 PCLOSE
Default model .038 .000 .066 .727
Independence model .247 .236 .259 .000
Regression Weights: (Group number 1 - Default model)
Estimate S.E. C.R. P Label
YD <--- DSD .218 .034 6.447 *** par_22
YD <--- HI .288 .036 8.110 *** par_23
YD <--- RR -.239 .036 -6.740 *** par_24
YD <--- HA .191 .035 5.542 *** par_25
YD <--- CP .221 .035 6.318 *** par_26
YD <--- DM .014 .025 .559 .576 par_27
YD <--- XH .172 .033 5.148 *** par_28
LC <--- YD 1.026 .046 22.459 *** par_29
LC <--- YD_x_KN 1.329 .386 3.441 *** par_30