Phân tích các yếu tố văn hóa tổ chức tác động đến động lực phụng sự công của cán bộ, công chức tỉnh Tiền Giang - 17


Phụ lục 17: Kết quả phân tích nhân tố khám phá EFA của các thang đo đo lường văn hóa tổ chức

KMO and Bartlett's Test


Kaiser-Meyer-Olkin Measure of Sampling Adequacy.

.684

Bartlett's Test of Sphericity

Approx. Chi-Square

1776.540

df

105

Sig.

.000

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Phân tích các yếu tố văn hóa tổ chức tác động đến động lực phụng sự công của cán bộ, công chức tỉnh Tiền Giang - 17


Total Variance Explained


Com pone nt

Initial Eigenvalues

Extraction Sums of

Squared Loadings

Rotation Sums of Squared

Loadings

Total

% of

Varianc e

Cumula tive %

Total

% of

Varianc e

Cumulati ve %

Total

% of Variance

Cumulati ve %

1

3.408

22.718

22.718

3.408

22.718

22.718

2.455

16.367

16.367

2

2.686

17.904

40.622

2.686

17.904

40.622

2.057

13.716

30.082

3

1.842

12.283

52.904

1.842

12.283

52.904

2.048

13.651

43.734

4

1.549

10.326

63.230

1.549

10.326

63.230

1.887

12.578

56.311

5

1.216

8.108

71.338

1.216

8.108

71.338

1.756

11.704

68.016

6

1.183

7.886

79.224

1.183

7.886

79.224

1.681

11.208

79.224

7

.565

3.769

82.993







8

.496

3.310

86.303







9

.450

2.999

89.302







10

.366

2.438

91.740







11

.331

2.209

93.950







12

.295

1.968

95.918







13

.257

1.710

97.628







14

.212

1.414

99.042







15

.144

.958

100.000








Component Matrixa


Component

1

2

3

4

5

6

AW1

.207

.413

.659

-.169

-.335

-.297

AW2

.199

.398

.690

-.060

-.312

-.314

AS1

.587

-.472

.084

.109

.354

-.447

AS2

.586

-.430

.001

.185

.383

-.454

MR2

.595

-.268

.120

-.456

-.025

.210

MR3

.474

-.327

.127

-.537

.004

.265

MR4

.488

-.192

.113

-.522

.111

.277

FC1

.673

-.203

-.018

.321

-.245

-.030

FC3

.551

-.164

-.131

.404

-.439

.225

FC4

.605

-.117

-.138

.403

-.329

.230

LR2

.445

.683

-.033

.152

.312

.121

LR3

.478

.716

-.059

.055

.271

.054

LR4

.425

.729

-.061

.063

.240

.212

BW1

-.232

-.286

.638

.360

.208

.348

BW3

-.193

-.244

.657

.337

.298

.334


Rotated Component Matrixa


Component

1

2

3

4

5

6

AW1

.131

-.018

.074

-.040

.923

.008

AW2

.134

.017

-.004

.005

.921

.076

AS1

-.039

.155

.206

.918

.008

.029

AS2

.018

.181

.127

.929

-.055

.000

MR2

.015

.189

.791

.155

.070

-.050

MR3

-.067

.085

.829

.088

.011

-.010

MR4

.092

.025

.795

.088

-.002

-.007

FC1

.060

.712

.137

.343

.097

-.041

FC3

.024

.863

.078

.032

-.021

-.024

FC4

.131

.828

.099

.088

-.050

-.010

LR2

.886

.081

-.021

.039

.082

-.033

LR3

.883

.052

.022

.044

.137

-.145

LR4

.890

.079

.047

-.096

.079

-.077

BW1

-.148

-.004

-.042

-.014

.038

.900

BW3

-.069

-.055

-.016

.036

.043

.912


Component Transformation Matrix

Compone

nt

1

2

3

4

5

6

1

.422

.564

.496

.454

.157

-.162

2

.757

-.169

-.283

-.386

.344

-.227

3

-.064

-.130

.155

.048

.705

.675

4

.126

.529

-.705

.182

-.130

.398

5

.433

-.545

.055

.477

-.421

.329

6

.204

.245

.388

-.618

-.408

.447


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


Component Score Coefficient Matrix


Component

1

2

3

4

5

6

AW1

-.065

-.007

.006

-.010

.547

-.049

AW2

-.057

.014

-.045

.022

.545

-.009

AS1

-.006

-.093

-.038

.534

.021

-.002

AS2

.024

-.078

-.085

.549

-.019

-.012

MR2

-.016

.006

.400

-.052

.013

-.006

MR3

-.034

-.040

.446

-.086

-.019

.015

MR4

.047

-.085

.434

-.067

-.049

.035

FC1

-.039

.339

-.049

.075

.066

-.016

FC3

-.058

.492

-.043

-.149

-.005

.009

FC4

.002

.450

-.034

-.108

-.039

.032

LR2

.393

-.029

-.025

.037

-.067

.078

LR3

.373

-.053

-.006

.044

-.025

.003

LR4

.387

-.013

.032

-.059

-.072

.057

BW1

.032

.036

.010

-.031

-.026

.549

BW3

.076

-.012

.023

.009

-.036

.564


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


Phụ lục 14: Kết quả phân tích nhân tố khám phá EFA của các thang đo đo lường động lực phụng sự công


Kaiser-Meyer-Olkin Measure of Sampling Adequacy.

Approx. Chi-Square

Bartlett's Test of

.718

419.615

10

.000

KMO and Bartlett's Test


Sphericity

df

Sig.

Communalities



Initial

Extractio

n

VM1

1.000

.817

VM4

1.000

.824

DS1

1.000

.672

DS3

1.000

.709

DS4

1.000

.678


Total Variance Explained


Com pone nt

Initial Eigenvalues

Extraction Sums of Squared Loadings

Rotation Sums of Squared Loadings

Total

% of Varianc e

Cumula tive %

Total

% of Varianc e

Cumulati ve %

Total

% of Variance

Cumulati ve %

1

2.63

9

52.779

52.779

2.639

52.779

52.779

1.976

39.527

39.527

2

1.06

0

21.204

73.983

1.060

21.204

73.983

1.723

34.456

73.983

3

.549

10.971

84.954







4

.427

8.538

93.492







5

.325

6.508

100.000







Component

1

2

VM1

.693

.580

VM4

.736

.532

DS1

.652

-.496

DS3

.757

-.369

DS4

.787

-.243



Rotated Component Matrixa



Component

1

2

VM1

.152

.891

VM4

.216

.882

DS1

.818

.045

DS3

.815

.209

DS4

.756

.325


Component Score Coefficient Matrix



Component

1

2

VM1

-.155

.587

VM4

-.113

.563

DS1

.491

-.196

DS3

.444

-.079

DS4

.375

.019


Model Summaryb


Mode l

R

R

Square

Adjusted R Square

Std. Error of the Estimate

Durbin- Watson

1

.637a

.406

.392

.59227

1.688


a. Predictors: (Constant), BW, AW, AS, MR, FC, LR

b. Dependent Variable: VM


ANOVAa


Model

Sum of Squares

df

Mean Square

F

Sig.


Regression

64.132

6

10.689

30.471

.000b

1

Residual

94.008

268

.351




Total

158.140

274





a. Dependent Variable: VM

b. Predictors: (Constant), BW, AW, AS, MR, FC, LR


Coefficientsa


Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

VIF

B

Std.

Error

Beta

(Constant)

1.169

.310


3.778

.000


LR

-.031

.039

-.007

-.142

.553

.919

FC

.167

.043

.467

8.916

.001

.809

MR

.151

.054

.062

1.229

.004

.865

AS

.451

.051

.257

4.935

.000

.820

AW

-.054

.040

-.034

-.668

.301

.866

BW

.117

.034

.091

1.861

.026

.935

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