Research on factors influencing customers' decision to use reporting services at Philip Entertainment Media and Entertainment Company Limited - 14


Component Transformation Matrix

Components 1 2 3 4 5 6


1

.600

.442

.470

.301

.255

.258

2

-.293

-.168

.097

.609

-.463

.539

3

-.345

-.406

.211

.165

.790

.140

4

-.327

.414

-.010

-.552

.074

.641

5

-.562

.616

.168

.291

.043

-.436

6

.108

.246

-.835

.347

.297

.148

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Research on factors influencing customers decision to use reporting services at Philip Entertainment Media and Entertainment Company Limited - 14

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


Second draw result

KMO and Bartlett's Test


Kaiser-Meyer-Olkin Measure of Sampling

Adequacy.

.747

Bartlett's Test of Sphericity

Approx. Chi-Square

1000.859

df

171

Sig.

.000


Total Variance Explained

Extraction Sums of


Rotation Sums of

Initial Eigenvalues

Squared Loadings

% of

Squared Loadings

Component

All

% of Variance

cumulati

% Total

Variation

Total %

Total

% of Variance

Total %

1


5.06

1

26,639

26,639

5,061

26,639

26,639

2.84

8

14,990

14,990

2


2.13

3

11,227

37,866

2,133

11,227

37,866

2.21

8

11,673

26,663

3


1.83

3

9,645

47,511

1,833

9,645

47,511

2.06

8

10,883

37,546

4


1.61

0

8,475

55,986

1,610

8,475

55,986

2.06

3

10,858

48,403

5


1.31

5

6,922

62,909

1,315

6,922

62,909

1.97

2

10,378

58,781

6


1.16

1

6.113

69,021

1.161

6.113

69,021

1.94

6

10,240

69,021

7


.752

3,957

72,978







8


.695

3,656

76,634







9


.613

3,228

79,862







10


.577

3,036

82,897







11


.540

2,843

85,740







12


.480

2,524

88,264







13


.474

2,495

90,760







14


.416

2,190

92,950







15


.378

1,989

94,939







16


.328

1,726

96,665







17


.255

1,343

98,008







18


.222

1,169

99,178







19


.156

.822

100,000







Extraction Method: Principal Component Analysis.


Rotated Component Matrix a

Component

1 2 3 4 5 6


GDV2

.860

GDV4

.845

GDV1

.731

GDV3

.726

AH2

.855

AH3

.794

AH1

.773

QC2

.825

QC1

.800

QC3

.791

UTTH2

.893

UTTH1

.821

UTTH3

.593

SP2

.772

SP1

.736

SP3

.702

PV3

.839

PV2

.804

PV1

.702

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

a. Rotation converged in 5 iterations.


Component Transformation Matrix

Components 1 2 3 4 5 6


1

.604

.462

.264

.298

.443

.258


2

-.294

-.115

-.471

.610

.071

.549

3

-.372

-.370

.789

.178

.200

.177

4

-.283

.380

.037

-.609

.009

.635

5

.574

-.591

.015

-.182

-.308

.438

6

-.009

.378

.291

.322

-.815

.073

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


Factor extraction results: Decision to use


KMO and Bartlett's Test


Kaiser-Meyer-Olkin Measure of Sampling

Adequacy.

.641

Bartlett's Test of Sphericity

Approx. Chi-Square

63,562

df

3

Sig.

.000


Total Variance Explained

Extraction Sums of Squared

Initial Eigenvalues ​​Loadings

Components


Total

% of Variance

cumulative

% Total

% of Variance

cumulative

%

1

1.805

60,173

60,173

1.805

60,173

60,173

2

.689

22,963

83,136

3

.506

16,864

100,000

Extraction Method: Principal Component Analysis.


Component Matrix a

Component 1

SD1

.821

SD3

.786

SD2

.716

Extraction Method: Principal Component Analysis.

a. 1 components extracted.


Appendix 2.4: Results of normal distribution test of factors.


Statistics

UTTH GDV SP AH QC PV SD


N

Valid

140

140

140

140

140

140

140

Missing

0

0

0

0

0

0

0

Skewness

-.143

-.043

-.317

-.264

-.262

-.066

-.639

Std. Error of

Skewness

.205

.205

.205

.205

.205

.205

.205

Kurtosis

-.345

-.798

.013

-.238

-.100

-.010

.028

Std. Error of

Kurtosis

.407

.407

.407

.407

.407

.407

.407


Appendix 2.5: Pearson correlation coefficient test results.


Correlations

SD UTTH GDV SP AH QC PV


SD

Pearson

Correlation

1

.410 **

.619 **

.730 **

.490 **

.251 **

.345 **

Sig. (2-tailed)

.000

.000

.000

.000

.003

.000

N

140

140

140

140

140

140

140

UTT H

Pearson

Correlation

.410 **

1

.227 **

.329 **

.185 *

.071

.252 **

Sig. (2-tailed)

.000


.007

.000

.028

.407

.003

N

140

140

140

140

140

140

140


GDV

Pearson

Correlation

.619 **

.227 **

1

.422 **

.460 **

.223 **

.161

Sig. (2-tailed)

.000

.007


.000

.000

.008

.058

N

140

140

140

140

140

140

140

SP

Pearson

Correlation

.730 **

.329 **

.422 **

1

.375 **

.251 **

.242 **

Sig. (2-tailed)

.000

.000

.000


.000

.003

.004

N

140

140

140

140

140

140

140

AH

Pearson

Correlation

.490 **

.185 *

.460 **

.375 **

1

.161

.213 *

Sig. (2-tailed)

.000

.028

.000

.000


.058

.012

N

140

140

140

140

140

140

140

QC

Pearson

Correlation

.251 **

.071

.223 **

.251 **

.161

1

.058

Sig. (2-tailed)

.003

.407

.008

.003

.058


.500

N

140

140

140

140

140

140

140

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.012

.500


N

140

140

140

140

140

140

140

**. Correlation is significant at the 0.01 level (2-tailed).

*. Correlation is significant at the 0.05 level (2-tailed).


Appendix 2.6: Regression analysis results


Model Summary b

Std. Error

Mode

l R

R

Square

Adjusted R Square

of the Estimate

Durbin-Watson

1

.835a

.698

.684

.32237

2,071

a. Predictors: (Constant), PV, QC, UTTH, AH, GDV, SP

b. Dependent Variable: SD



Sum of

ANOVA a


Mean

Model

Squares df

Square F Sig.


1

Regression

31,939

6

5,323

51.22

1

.000 b

Residual

13,822

133

.104



Total

45,761

139




a. Dependent Variable: SD

b. Predictors: (Constant), PV, QC, UTTH, AH, GDV, SP


Coefficients a

Unstandardized Coefficients

Standardized Coefficients

Collinearity Statistics

Model

B Std. Error Beta

t Sig.

Tolerance VIF


1

(Constant)

-.925

.358

-

2,588

.011

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