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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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