research analysis (appendix a)

8/10/2019 Research analysis (Appendix A)

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APPENDIX 2

FACTOR ANALYSIS -INDEPENDENT VARIABLE (SOCIAL INFLUENCE)

First Run

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .873

Bartlett's Test of Sphericity Approx. Chi-Square 1097.786

df 120

Sig. .000

Communalities

Initial Extraction

NORM1 1.000 .454

NORM2 1.000 .598

NORM3 1.000 .547

NORM4 1.000 .563

NORM5 1.000 .484

NORM6 1.000 .373

NORM7 1.000 .419

NORM8 1.000 .530

NORM9 1.000 .528

NORM10 1.000 .595

NORM11 1.000 .171

NORM12 1.000 .522

INFO1 1.000 .635

INFO2 1.000 .688

INFO3 1.000 .633

INFO4 1.000 .628

Extraction Method: Principal

Component Analysis.


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Total Variance Explained

Component

Initial Eigenvalues Rotation Sums of Squared Loadings

Total % of Variance Cumulative % Total % of Variance Cumulative %

1 5.159 32.244 32.244 3.662 22.889 22.8892 2.115 13.218 45.462 2.872 17.948 40.837

3 1.096 6.849 52.311 1.836 11.474 52.311

4 .989 6.184 58.495

5 .876 5.472 63.968

6 .864 5.402 69.370

7 .776 4.850 74.220

8 .630 3.938 78.158

9 .560 3.501 81.659

10 .528 3.298 84.958

11 .492 3.072 88.030

12 .434 2.715 90.744

13 .422 2.635 93.379

14 .386 2.409 95.789

15 .355 2.221 98.010

16 .318 1.990 100.000

Extraction Method: Principal Component Analysis.


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Component Matrixa

Component

1 2 3

NORM4 .705NORM8 .673

NORM12 .649

NORM9 .647

NORM3 .628

NORM2 .626 -.450

INFO3 .621 .491

NORM10 .559 .427

INFO2 .558 .468

NORM6 .543

NORM5 .539

NORM1 .515 .429

INFO4 .520 .589

INFO1 .535 .564

NORM11

NORM7 .555

Extraction Method: Principal Component

Analysis.

a. 3 components extracted.

Rotated Component Matrixa

Component

1 2 3

NORM2 .758

NORM3 .715

NORM12 .690

NORM4 .685

NORM5 .681

NORM8 .668

NORM6 .571

NORM11

INFO2 .802

INFO1 .781

INFO4 .766

INFO3 .736

NORM10 .660

NORM7 .644

NORM1 .594


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NORM9 .543

Extraction Method: Principal Component

Analysis. Rotation Method: Varimax with Kaiser

Normalization.

a. Rotation converged in 4 iterations.

Final Run




df 55

Sig. .000

Communalities

Initial

NORM2 1.000

NORM3 1.000

NORM4 1.000

NORM5 1.000

NORM6 1.000

NORM8 1.000

NORM11 1.000

NORM12 1.000

INFO1 1.000

INFO2 1.000

INFO3 1.000

INFO4 1.000

Extraction Method:

Principal Component

Analysis.


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Component



1 4.222 38.378 38.378 3.544 32.217 32.2172 1.958 17.799 56.177 2.636 23.960 56.177

3 .822 7.474 63.651

4 .693 6.304 69.955

5 .655 5.957 75.912

6 .555 5.049 80.961

7 .497 4.521 85.482

8 .456 4.143 89.625

9 .427 3.880 93.506

10 .382 3.475 96.981

11 .332 3.019 100.000



Component

1 2

NORM2 .788

NORM4 .735

NORM3 .734

NORM12 .705

NORM8 .703

NORM5 .655

NORM6 .576

INFO1 .810

INFO4 .802

INFO2 .779

INFO3 .768


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FACTOR ANALYSIS - INDEPENDENT VARIABLE (BRAND ENGAGEMENT)

First Run




df 55

Sig. .000

Communalities

Initial Extraction

BRAND1 1.000 .598

BRAND2 1.000 .567BRAND3 1.000 .562

BRAND4 1.000 .622

BRAND5 1.000 .752

BRAND6 1.000 .622

BRAND7 1.000 .603

BRAND8 1.000 .425

BRAND9 1.000 .650

BRAND10 1.000 .708

BRAND11 1.000 .409


Component Analysis.


Component



1 5.108 46.436 46.436 3.755 34.136 34.136

2 1.410 12.816 59.252 2.763 25.116 59.252

3 .954 8.672 67.924

4 .805 7.314 75.239

5 .683 6.210 81.449

6 .518 4.710 86.159

7 .396 3.599 89.757

8 .338 3.075 92.833

9 .328 2.977 95.810

10 .244 2.221 98.031

11 .217 1.969 100.000



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Component

1 2

BRAND10 .797

BRAND9 .761

BRAND7 .748

BRAND1 .745

BRAND3 .734

BRAND2 .725

BRAND5 .852

BRAND4 .766

BRAND6 .765

BRAND8 .591

BRAND11 .434 .470


Component Analysis.

Rotation Method: Varimax with

Kaiser Normalization.



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Final Run




df 36

Sig. .000

Communalities

Initial Extraction

BRAND1 1.000 .600

BRAND2 1.000 .579

BRAND3 1.000 .579BRAND4 1.000 .642

BRAND5 1.000 .765

BRAND6 1.000 .734

BRAND7 1.000 .610

BRAND9 1.000 .649

BRAND10 1.000 .693


Component Analysis.


Component



1 4.495 49.950 49.950 3.604 40.042 40.042

2 1.356 15.062 65.012 2.247 24.970 65.012

3 .787 8.750 73.762

4 .687 7.634 81.396

5 .458 5.085 86.481

6 .383 4.251 90.732

7 .331 3.682 94.413

8 .273 3.037 97.450

9 .230 2.550 100.000



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Component

1 2

BRAND10 .803BRAND9 .774

BRAND1 .762

BRAND7 .751

BRAND3 .736

BRAND2 .736

BRAND5 .853

BRAND6 .828

BRAND4 .772


Component Analysis.

Rotation Method: Varimax with

Kaiser Normalization.



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APPENDIX 3

RELIABILITY ANALYSIS

Case Processing Summary

N %

Cases Valid 215 100.0

Excludeda 0 .0

Total 215 100.0

a. Listwise deletion based on all variables in the

procedure.

Reliability Statistics

Cronbach's

Alpha N of Items

.757 4

Item Statistics

Mean Std. Deviation N

NORMATIVE 2.8837 .75760 215INFORMATIVE 3.5430 .76782 215

BRAND 3.0217 .70485 215

INTENTION 3.4958 .85835 215

Item-Total Statistics

Scale Mean if

Item Deleted

Scale Variance

if Item Deleted

Corrected Item-

Total

Correlation

Cronbach's

Alpha if Item

Deleted

NORMATIVE 10.0605 3.608 .474 .742

INFORMATIVE 9.4012 3.428 .537 .709

BRAND 9.9226 3.437 .617 .671

INTENTION 9.4484 3.014 .602 .674

Scale Statistics

Mean Variance Std. Deviation N of Items

12.9443 5.545 2.35474 4


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APPENDIX 4

DESCRIPTIVE ANALYSIS

Descriptive Statistics

N Minimum Maximum Mean

Std.

Deviation Skewness

Statistic Statistic Statistic Statistic Statistic Statistic Std. Error

NORMATIVE 215 1.00 4.57 2.8837 .75760 -.196 .166

INFORMATIVE 215 1.00 5.00 3.5430 .76782 -.210 .166

BRAND 215 1.11 4.78 3.0217 .70485 -.194 .166

INTENTION 215 1.00 9.40 3.4958 .85835 1.354 .166

Valid N (listwise) 215


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N 215 215 215 215 215 215 215 215

INTENTION Pearson Correlation .013 .163* .067 .099 .399

** .470

** .542

** 1

Sig. (2-tailed) .855 .017 .327 .147 .000 .000 .000

N 215 215 215 215 215 215 215 215

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

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


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APPENDIX 6

REGRESSION ANALYSIS INDEPENDENT VARIABLE

(DEMOGRAPHIC)

Model Summaryb

Model R R Square

Adjusted R

Square

Std. Error of the

Estimate

1 .167a .028 .009 .85427

a. Predictors: (Constant), INCOME, GENDER, EDU, AGE

b. Dependent Variable: INTENTION

ANOVAb

Model Sum of Squares df Mean Square F Sig.

1 Regression 4.415 4 1.104 1.512 .200a

Residual 153.252 210 .730

Total 157.666 214

a. Predictors: (Constant), INCOME, GENDER, EDU, AGE



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Collinearity Diagnosticsa

Model Dimension Eigenvalue Condition Index

Variance Proportions

(Constant) GENDER AGE EDU INCOME

1 1 4.586 1.000 .00 .00 .00 .00 .01

2 .211 4.663 .03 .11 .04 .00 .44

3 .110 6.450 .01 .07 .44 .08 .52

4 .054 9.248 .00 .17 .51 .84 .01

5 .039 10.777 .95 .64 .00 .08 .01

a. Dependent Variable: INTENTION

Coefficientsa

Model

Unstandardized

Coefficients

Standardized

Coefficients

t Sig.

95.0% Confidence Interval for B Correlations Collinearity Statistics

B

Std.

Error Beta Lower Bound Upper Bound

Zero-

order Partial Part Tolerance VIF

1 (Constant) 3.232 .242 13.357 .000 2.755 3.709

GENDER .018 .122 .010 .148 .882 -.222 .258 .013 .010 .010 .954 1.048

AGE .235 .122 .176 1.919 .056 -.006 .476 .163 .131 .131 .553 1.810

EDU -.059 .113 -.044 -.520 .604 -.281 .164 .067 -.036 -.035 .635 1.576

INCOME .023 .080 .023 .286 .775 -.136 .182 .099 .020 .019 .718 1.393


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Casewise Diagnosticsa

Case Number Std. Residual INTENTION Predicted Value Residual

215 6.478 9.40 3.8662 5.53380


Residuals Statisticsa

Minimum Maximum Mean Std. Deviation N

Predicted Value 3.3323 3.9374 3.4958 .14363 215

Std. Predicted Value -1.138 3.075 .000 1.000 215

Standard Error of Predicted

Value

.090 .291 .124 .041 215

Adjusted Predicted Value 3.3618 4.0343 3.4973 .14740 215

Residual -2.44953 5.53380 .00000 .84624 215

Std. Residual -2.867 6.478 .000 .991 215

Stud. Residual -2.892 6.613 -.001 1.004 215

Deleted Residual -2.49163 5.76767 -.00150 .86903 215

Stud. Deleted Residual -2.944 7.415 .003 1.033 215

Mahal. Distance 1.362 23.852 3.981 3.849 215

Cook's Distance .000 .370 .005 .026 215

Centered Leverage Value .006 .111 .019 .018 215



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(SOCIAL INFLUENCE)

Model Summaryb

Model R R Square

Adjusted R

Square

Std. Error of the

Estimate

1 .534a .285 .278 .72910

a. Predictors: (Constant), INFORMATIVE, NORMATIVE


ANOVAb


1 Regression 44.969 2 22.484 42.296 .000a

Residual 112.698 212 .532

Total 157.666 214

a. Predictors: (Constant), INFORMATIVE, NORMATIVE



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(Constant) NORMATIVE INFORMATIVE

1 1 2.939 1.000 .00 .01 .00

2 .039 8.722 .09 .97 .25

3 .022 11.474 .90 .03 .75


Coefficientsa

Model

Unstandardized

Coefficients

Standardized

Coefficients

t Sig.

95.0% Confidence Interval for B Correlations

Collinearity

Statistics

B Std. Error Beta Lower Bound Upper Bound

Zero-


1 (Constant) 1.118 .263 4.247 .000 .599 1.637

NORMATIVE .306 .070 .270 4.373 .000 .168 .444 .399 .288 .254 .883 1.132

INFORMATIVE .422 .069 .377 6.108 .000 .286 .558 .470 .387 .355 .883 1.132



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125 -3.027 1.00 3.2071 -2.20711

215 7.979 9.40 3.5827 5.81727




Predicted Value 2.0211 4.4343 3.4958 .45840 215



Value

.050 .198 .082 .027 215


Residual -2.20711 5.81727 .00000 .72569 215

Std. Residual -3.027 7.979 .000 .995 215

Stud. Residual -3.045 8.023 .000 1.003 215

Deleted Residual -2.23308 5.88219 .00061 .73727 215


Mahal. Distance .003 14.734 1.991 2.235 215

Cook's Distance .000 .239 .005 .019 215




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(BRAND ENGAGEMENT)

Model Summaryb

Model R R Square

Adjusted R

Square

Std. Error of the

Estimate

1 .542a .294 .290 .72302

a. Predictors: (Constant), BRAND


ANOVAb


1 Regression 46.319 1 46.319 88.605 .000a

Residual 111.347 213 .523

Total 157.666 214

a. Predictors: (Constant), BRAND



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(Constant) BRAND

1 1 1.974 1.000 .01 .01

2 .026 8.709 .99 .99


Coefficientsa

Model

Unstandardized

Coefficients

Standardized

Coefficients

t Sig.

95.0% Confidence Interval for B Correlations Collinearity Statistics

B Std. Error Beta Lower Bound Upper Bound

Zero-


1 (Constant) 1.501 .218 6.901 .000 1.073 1.930

BRAND .660 .070 .542 9.413 .000 .522 .798 .542 .542 .542 1.000 1.000



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215 8.186 9.40 3.4815 5.91851




Predicted Value 2.2347 4.6549 3.4958 .46523 215



Value

.049 .143 .066 .021 215


Residual -1.50823 5.91851 .00000 .72133 215

Std. Residual -2.086 8.186 .000 .998 215

Stud. Residual -2.115 8.205 .000 1.002 215

Deleted Residual -1.54973 5.94620 -.00009 .72766 215


Mahal. Distance .001 7.348 .995 1.475 215

Cook's Distance .000 .157 .004 .013 215




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research analysis (appendix a)

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