Nâng cao năng lực cạnh tranh điểm đến du lịch ở Bạc Liêu - 38

Correlations: (Group number 1 - Default model)


B. Đánh giá độ tin cậy của các ước lượng trong mô hình bằng phương pháp Boostrap


Standardized Regression Weights: (Group number 1 - Default model)


Parameter

SE

SE-SE

Mean

Bias

SE-Bias

MTDD

<---

NCKDL

0,042

0,001

0,227

-0,001

0,002

MTDD

<---

PTSP

0,052

0,002

0,333

-0,004

0,002

MTDD

<---

XDTH

0,048

0,002

0,157

0,002

0,002

THKDL

<---

HDTN

0,059

0,002

0,354

-0,004

0,003

THKDL

<---

SKDD

0,057

0,002

0,342

0,002

0,003

QLDD

<---

HDKDDL

0,063

0,002

0,214

0,003

0,003

QLDD

<---

KCHT

0,061

0,002

0,589

-0,004

0,003

NLCT

<---

QLDD

0,058

0,002

0,164

-0,006

0,003

NLCT

<---

THKDL

0,048

0,002

0,165

-0,002

0,002

NLCT

<---

MTDD

0,051

0,002

0,195

-0,001

0,002

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Nâng cao năng lực cạnh tranh điểm đến du lịch ở Bạc Liêu - 38

C. Phân tích Common Method Bias

< 50%

Total Variance Explained



Factor


Initial Eigenvalues

Extraction Sums of Squared

Loadings


Total

% of Variance

Cumulative

%


Total

% of Variance

Cumulative

%

1

13.838

24.711

24.711

13.155

23.491

23.491

2

4.014

7.169

31.880


3

3.209

5.730

37.611

4

2.870

5.124

42.735

5

2.742

4.897

47.632

6

2.320

4.143

51.775

7

2.303

4.112

55.887

8

2.132

3.808

59.695

9

1.943

3.469

63.164

10

1.876

3.349

66.513

11

1.723

3.076

69.589

12

1.574

2.810

72.399

13

1.309

2.338

74.737

14

.750

1.339

76.077

15

.730

1.303

77.380

16

.649

1.159

78.539

17

.616

1.100

79.639

18

.597

1.065

80.705

19

.565

1.010

81.714

20

.562

1.003

82.718

21

.510

.911

83.629

22

.493

.881

84.510

23

.470

.838

85.348

24

.456

.814

86.162

25

.435

.777

86.940

26

.425

.759

87.698

27

.407

.726

88.424

.380

.678

89.102




29

.361

.645

89.747

30

.346

.618

90.365

31

.337

.602

90.967

32

.323

.577

91.545

33

.310

.554

92.099

34

.304

.543

92.641

35

.299

.534

93.175

36

.287

.512

93.687

37

.276

.494

94.181

38

.257

.458

94.639

39

.250

.446

95.086

40

.238

.424

95.510

41

.229

.408

95.918

42

.216

.386

96.304

43

.211

.377

96.681

44

.210

.375

97.056

45

.190

.340

97.396

46

.184

.329

97.724

47

.172

.306

98.031

48

.162

.289

98.320

49

.157

.280

98.600

50

.155

.276

98.876

51

.136

.244

99.120

52

.134

.239

99.359

53

.112

.200

99.559

54

.107

.192

99.751

55

.090

.161

99.912

56

.049

.088

100.000

28

Extraction Method: Principal Axis Factoring.


Factor

1

NCKDL2

.314

NCKDL3

.345

NCKDL4

.399

NCKDL5

.301

PTSP1

.434

PTSP2

.477

PTSP3

.476

PTSP4

.495

PTSP5

.435

XDTH1

.341

XDTH2

.288

XDTH3

.359

XDTH4

.299

XDTH5

.190

HDKDDL1

.621

HDKDDL2

.560

HDKDDL3

.494

HDKDDL4

.472

HDTN1

.622

HDTN2

.542

HDTN3

.557

HDTN4

.559

SKDD1

.545

SKDD2

.501

SKDD3

.552

SKDD4

.498

HDLS1

.161

Factor Matrixa



HDLS2

.161

HDLS3

.011

HDLS4

.089

KCHT1

.439

KCHT2

.641

KCHT3

.551

KCHT4

.695

NNL1

.143

NNL4

-.061

NNL5

.059

NNL6

-.004

MTDD1

.637

MTDD2

.576

MTDD3

.618

MTDD4

.626

MTDD5

.628

THKDL1

.650

THKDL2

.643

THKDL3

.637

THKDL4

.648

THKDL5

.631

QLDD1

.630

QLDD2

.626

QLDD3

.555

QLDD4

.543

NLCT2

.445

NLCT3

.392

NLCT4

.464

NLCT5

.434

Extraction Method:

Principal Axis Factoring.

a. 1 factors extracted. 3 iterations required.

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