Khảo sát sự hài lòng của sinh viên đối với hoạt động đào tạo tại trường đại học khoa học tự nhiên, đại học quốc gia thành phố Hồ Chí Minh - 14


PHỤ LỤC 2

HỆ SỐ TIN CẬY CRONBACH’S ALPHA

Cronbach Alpha của các biến trong thang đo sự hài lòng của sinh viên đối với hoạt động đào tạo tại trường ĐHKHTN

Biến quan sát

Trung bình thang

đo nếu loại biến

Phương sai thang

đo nếu loại biến

Tương quan biến tổng

Cronbach's Alpha nếu loại biến

Cau 1

173.04

395.409

.342

.920

Cau 2

173.08

396.889

.305

.921

Cau 3

173.66

394.892

.322

.921

Cau 4

173.24

395.292

.325

.921

Cau 5

173.50

391.185

.429

.920

Cau 6

173.14

395.284

.381

.920

Cau 7

173.07

395.683

.361

.920

Cau 8

173.03

397.744

.306

.921

Cau 9

172.58

395.309

.421

.920

Cau 10

173.34

391.746

.464

.919

Cau 11

173.27

392.564

.426

.920

Cau 12

172.74

398.279

.324

.920

Cau 13

172.81

395.642

.413

.920

Cau 14

172.94

391.461

.477

.919

Cau 15

172.78

393.247

.464

.919

Cau 16

172.61

394.503

.458

.919

Cau 17

173.20

392.752

.419

.920

Cau 18

173.45

391.941

.420

.920

Cau 19

173.16

392.556

.480

.919

Cau 20

172.92

392.427

.491

.919

Cau 21

172.90

393.889

.387

.920

Cau 22

172.81

393.776

.436

.919

Cau 23

173.55

391.994

.368

.920

Cau 24

173.47

386.796

.491

.919

Cau 25

173.06

393.037

.501

.919

Cau 26

172.92

396.682

.396

.920

Cau 27

172.56

398.372

.334

.920

Cau 28

173.13

390.546

.466

.919

Cau 29

173.14

390.466

.508

.919

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Khảo sát sự hài lòng của sinh viên đối với hoạt động đào tạo tại trường đại học khoa học tự nhiên, đại học quốc gia thành phố Hồ Chí Minh - 14



Biến quan sát

Trung bình thang

đo nếu loại biến

Phương sai thang

đo nếu loại biến

Tương quan biến tổng

Cronbach's Alpha nếu loại biến

Cau 30

173.08

391.011

.458

.919

Cau 31

173.54

393.976

.312

.921

Cau 32

173.27

392.798

.372

.920

Cau 33

172.96

394.419

.361

.920

Cau 34

173.23

391.872

.404

.920

Cau 35

173.32

391.277

.399

.920

Cau 36

173.19

393.901

.391

.920

Cau 37

173.15

394.212

.390

.920

Cau 38

173.25

394.999

.376

.920

Cau 39

173.29

391.441

.453

.919

Cau 40

173.40

390.973

.450

.919

Cau 41

173.20

390.298

.427

.920

Cau 42

172.86

394.584

.463

.919

Cau 43

173.19

389.881

.539

.919

Cau 44

172.77

393.760

.515

.919

Cau 45

172.89

391.985

.547

.919

Cau 46

173.01

391.590

.537

.919

Cau 47

173.30

392.130

.433

.919

Cau 48

173.03

392.851

.402

.920

Cau 49

172.91

393.869

.474

.919

Cau 50

173.25

389.228

.501

.919

Cronbach’s Alpha = 0.921


PHỤ LỤC 3

KẾT QUẢ PHÂN TÍCH NHÂN TỐ KHÁM PHÁ (EFA)

KMO and Bartlett's Test


Kaiser-Meyer-Olkin Measure of Sampling Adequacy.

.895

Bartlett's Test of Sphericity Approx. Chi-Square

12228.009

df

1326

Sig.

.000


Communalities



Initial

Extraction

Cau 1

1.000

.576

Cau 2

1.000

.479

Cau 3

1.000

.489

Cau 4

1.000

.539

Cau 5

1.000

.473

Cau 6

1.000

.516

Cau 7

1.000

.470

Cau 8

1.000

.590

Cau 9

1.000

.602

Cau 10

1.000

.490

Cau 11

1.000

.494

Cau 12

1.000

.553

Cau 13

1.000

.506

Cau 14

1.000

.496

Cau 15

1.000

.546

Cau 16

1.000

.595

Cau 17

1.000

.609

Cau 18

1.000

.635

Cau 19

1.000

.656

Cau 20

1.000

.695

Cau 21

1.000

.776

Cau 22

1.000

.770

Cau 23

1.000

.644

Cau 24

1.000

.573

Cau 25

1.000

.465

Cau 26

1.000

.485

Cau 27

1.000

.600

Cau 28

1.000

.633

Cau 29

1.000

.629

Cau 30

1.000

.640

Cau 31

1.000

.738

Cau 32

1.000

.673

Cau 33

1.000

.609

Cau 34

1.000

.661



Cau 35

1.000

.662

Cau 36

1.000

.696

Cau 37

1.000

.614

Cau 38

1.000

.598

Cau 39

1.000

.654

Cau 40

1.000

.697

Cau 41

1.000

.479

Cau 42

1.000

.522

Cau 43

1.000

.528

Cau 44

1.000

.636

Cau 45

1.000

.687

Cau 46

1.000

.661

Cau 47

1.000

.614

Cau 48

1.000

.665

Cau 49

1.000

.602

Cau 50

1.000

.596

Cau 51

1.000

.495

Cau 52

1.000

.508

Extraction Method: Principal Component Analysis.


Total Variance Explained



Component


Initial Eigenvalues

Extraction Sums of Squared

Loadings

Rotation Sums of Squared

Loadings



Total

% of

Variance

Cumulative

%


Total

% of

Variance

Cumulative

%


Total

% of Cumulative

Variance %

1

11.084

21.316

21.316

11.084

21.316

21.316

3.229

6.209

6.209

2

2.693

5.179

26.495

2.693

5.179

26.495

2.628

5.054

11.263

3

2.021

3.886

30.381

2.021

3.886

30.381

2.518

4.843

16.107

4

1.812

3.485

33.866

1.812

3.485

33.866

2.445

4.703

20.809

5

1.745

3.355

37.221

1.745

3.355

37.221

2.333

4.487

25.297

6

1.696

3.262

40.483

1.696

3.262

40.483

2.248

4.323

29.620

7

1.576

3.030

43.513

1.576

3.030

43.513

2.209

4.249

33.868

8

1.351

2.598

46.111

1.351

2.598

46.111

2.171

4.175

38.043

9

1.311

2.522

48.633

1.311

2.522

48.633

2.088

4.015

42.058

10

1.186

2.281

50.913

1.186

2.281

50.913

1.989

3.826

45.884

11

1.156

2.223

53.137

1.156

2.223

53.137

1.913

3.679

49.563

12

1.115

2.144

55.281

1.115

2.144

55.281

1.888

3.632

53.195

13

1.063

2.043

57.324

1.063

2.043

57.324

1.596

3.070

56.265

14

1.008

1.938

59.263

1.008

1.938

59.263

1.559

2.998

59.263

15

.969

1.864

61.126







16

.926

1.780

62.907







17

.901

1.734

64.640







18

.855

1.645

66.285







19

.818

1.574

67.859







20

.785

1.509

69.368







21

.782

1.503

70.871







22

.752

1.446

72.317







23

.733

1.410

73.727









24

.715

1.375

75.102






25

.694

1.334

76.436

26

.665

1.279

77.715

27

.660

1.270

78.985

28

.643

1.237

80.222

29

.625

1.203

81.424

30

.594

1.143

82.567

31

.587

1.128

83.695

32

.569

1.095

84.790

33

.563

1.083

85.873

34

.549

1.056

86.929

35

.511

.983

87.912

36

.501

.964

88.875

37

.482

.927

89.803

38

.460

.885

90.687

39

.446

.858

91.545

40

.434

.835

92.381

41

.419

.806

93.187

42

.402

.772

93.959

43

.373

.718

94.677

44

.363

.697

95.374

45

.353

.678

96.053

46

.341

.656

96.709

47

.326

.627

97.335

48

.310

.597

97.932

49

.300

.578

98.510

50

.272

.523

99.033

51

.264

.508

99.541

52

.239

.459

100.000

Extraction Method: Principal Component Analysis.


Component Matrix(a)



Component


1

2

3

4

5

6

7

8

9

10

11

12

13

14

Cau 45

.601





-

.415









Cau 46

.595



-

.391



Cau 43

.580






Cau 44

.570



-

.416



Cau 52

.564






Cau 29

.545


-

.337


.324


Cau 50

.541

.378



-

.308


Cau 25

.535






Cau 20

.533

-

.337




-

.369

Cau 14

.526








Cau 49

.521














Cau 19

.513










-

.348




Cau 24

.512














Cau 42

.509









.307





Cau 15

.509


-

.392












Cau 10

.505

-

.310













Cau 30

.505







.309




.352



Cau 16

.504


-

.402












Cau 28

.494




-

.322



.356







Cau 40

.476

.308








.442





Cau 39

.474









.378





Cau 22

.472






-

.452








Cau 9

.468














Cau 47

.467














Cau 41

.463














Cau 11

.462










.303




Cau 13

.460


-

.354












Cau 17

.459

-

.336













Cau 18

.456

-

.306



-

.381



-

.304







Cau 5

.454



.325











Cau 48

.446






-

.340








Cau 26

.435







.319







Cau 35

.419

.379













Cau 34

.419

.397





.301


-

.332






Cau 36

.415



-

.331


.312

.322








Cau 6

.412














Cau 7

.398












.324


Cau 38

.397



-

.323











Cau 27

.376


-

.345










.301


Cau 1

.371




.352

.324









Cau 8

.338













.307

Cau 31

.319

.610













Cau 32

.384

.592













Cau 33

.383

.517













Cau 37

.416



-

.429











Cau 3

.344



.407











Cau 4

.341



.389











Cau 2

.336




.439










Cau 23

.387



.306

-

.395












Cau 21

.426






-

.484








Cau 12

.362



.307

-

.405


Cau 51



.315



-

.326

Extraction Method: Principal Component Analysis. a 14 components extracted.

Rotated Component Matrix(a)



Component


1

2

3

4

5

6

7

8

9

10

11

12

13

14

Cau 49

.690














Cau 48

.689










.337



Cau 45

.594













Cau 46

.594













Cau 47

.589













Cau 44

.560









.318




Cau 16


.661












Cau 15


.639












Cau 12


.619












Cau 9


.464











.422

Cau 13


.447










.358


Cau 10


.386


.364










Cau 1



.691











Cau 6



.621











Cau 2



.575











Cau 3



.539







.326




Cau 50

.438


.460











Cau 43

.313


.391











Cau 18




.730










Cau 17




.711










Cau 11


.384


.415










Cau 36





.790









Cau 38





.711









Cau 37





.711









Cau 34






.758








Cau 35






.754








Cau 33






.586








Cau 31







.782







Cau 23







.675







Cau 32






.392

.659







Cau 24







.444



.339




Cau 28








.691






Cau 29








.683






Cau 30








.653






Cau 20









.705





Cau 19









.647





Cau 27









.549





Cau 14


.375







.412







Cau 21










.837





Cau 22



.804





Cau 41



.393


.328



Cau 4




.613




Cau 26




.535




Cau 5

.360



.415




Cau 25


.305


.414




Cau 40





.735



Cau 39





.725



Cau 51






.633


Cau 52






.408


Cau 8







.698

Cau 7







.527

Cau 42







.310

Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. a Rotation converged in 13 iterations.


Component Transformation Matrix


Component

1

2

3

4

5

6

7

8

9

10

11

12

13

14

1

.400

.336

.293

.293

.269

.241

.212

.281

.275

.232

.225

.212

.206

.183

2

-.258

-.219

-.108

-.376

.260

.472

.525

-.137

-.049

.112

.114

.286

-.001

-.194

3

.337

-.539

.507

.088

.246

-.051

-.041

-.105

-.428

-.241

.024

.113

-.018

.026

4

-.309

.003

.365

.225

-.493

-.162

.393

-.076

.102

-.242

.464

-.014

.007

-.081

5

-.043

.171

.416

-.501

-.111

.162

-.327

-.420

.059

.182

.144

-.148

.311

.216

6

-.613

.017

.383

.035

.359

-.296

-.141

.164

.152

.167

-.219

.272

-.165

.109

7

-.269

.156

-.065

.075

.395

.320

-.089

.098

-.039

-.590

.194

-.392

-.016

.276

8

.047

-.085

-.091

-.474

.008

-.265

-.132

.602

-.154

.058

.528

.031

-.015

.013

9

.052

.327

-.207

-.139

.155

-.463

.232

-.236

-.188

-.326

-.056

.376

.392

.201

10

-.050

-.154

-.129

.072

-.280

.320

-.444

.053

.198

-.306

.068

.648

.051

.104

11

-.133

.320

.027

.120

-.255

.236

.032

.079

-.709

.221

-.038

.139

-.246

.321

12

.015

.153

.308

-.263

-.230

.169

.135

.459

-.049

-.301

-.526

-.050

.255

-.254

13

-.127

-.478

-.133

.062

-.166

-.003

.213

.177

.079

.163

-.170

-.156

.389

.626

14

.270

.037

.087

-.346

-.105

-.054

.236

-.051

.300

-.194

-.144

.045

-.632

.420

Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.

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