11.60.0156 Andreas Oktavian Santoso LAMPIRAN

(1)

LAMPIRAN 1.

(2)

LAMPIRAN 2.

(3)

LAMPIRAN 3.

UJI VALIDITAS DAN

RELIABILITAS

Scale: ALL VARIABLES

Case Processing Summary

N %

Cases

Valid 38 100,0

Excludeda ₀ _,0

Total 38 100,0

a. Listwise deletion based on all variables in the

procedure.

Reliability Statistics

Cronbach's Alpha N of Items

,840 6

Item Statistics

(4)

Item-Total Statistics

Scale Mean if

Item Deleted

Scale Variance if

Item Deleted

Corrected

Item-Total Correlation

Cronbach's Alpha

if Item Deleted

KK1 20,1316 9,523 ,464 ,842

Scale Statistics

Mean Variance Std. Deviation N of Items

24,1579 12,245 3,49924 6

Reliability

Scale: ALL VARIABLES

N %

Cases

Valid 38 100,0

Excludeda ₀ _,0

Total 38 100,0

procedure.

(5)

Item Statistics

Scale Mean if

Item Deleted

Scale Variance if

Item Deleted

Corrected

Cronbach's Alpha

if Item Deleted

KK2 15,9737 5,918 ,776 ,773

KK3 15,9737 6,459 ,651 ,809

KK4 16,0263 6,621 ,590 ,824

KK5 16,2895 6,157 ,658 ,806

KK6 16,2632 6,523 ,565 ,832

20,1316 9,523 3,08590 5

Reliability

Scale: ALL VARIABLES

N %

Cases

Valid 38 100,0

Excludeda ₀ _,0

Total 38 100,0

(6)

,928 26

Item Statistics

(7)

Scale Mean if

Item Deleted

Scale Variance if

Item Deleted

Corrected

Cronbach's Alpha

if Item Deleted

SPI1 109,5789 65,872 ,554 ,925

(8)

Reliability

Scale: ALL VARIABLES

N %

Cases

Valid 38 100,0

Excludeda ₀ _,0

Total 38 100,0

procedure.

,751 12

Item Statistics

(9)

Scale Mean if

Item Deleted

Scale Variance if

Item Deleted

Corrected

Cronbach's Alpha

if Item Deleted

PM1 72,6053 15,326 ,321 ,741

79,2368 17,321 4,16182 12

Reliability

Scale: ALL VARIABLES

N %

Cases

Valid 38 100,0

Excludeda ₀ _,0

Total 38 100,0

procedure.

(10)

Item Statistics

Scale Mean if

Item Deleted

Scale Variance if

Item Deleted

Corrected

Cronbach's Alpha

if Item Deleted

PM1 52,1053 14,097 ,346 ,779

(11)

Reliability

Scale: ALL VARIABLES

N %

Cases

Valid 38 100,0

Excludeda ₀ _,0

Total 38 100,0

procedure.

,873 14

Scale Mean if

Item Deleted

Scale Variance if

Item Deleted

Corrected

Cronbach's Alpha

if Item Deleted

K1 21,8684 22,334 ,044 ,879

(12)

Reliability

Scale: ALL VARIABLES

N %

Cases

Valid 38 100,0

Excludeda ₀ _,0

Total 38 100,0

procedure.

,900 10

Item Statistics

(13)

Scale Mean if

Item Deleted

Scale Variance if

Item Deleted

Corrected

Cronbach's Alpha

if Item Deleted

K4 14,6053 14,408 ,663 ,890

(14)

LAMPIRAN 4.

UJI ASUMSI KLASIK

NPar Tests

One-Sample Kolmogorov-Smirnov Test

Standardized

Residual

N 38

Normal Parametersa,b Mean 0E-7

Std. Deviation ,95860259

Most Extreme Differences

Absolute ,145

Positive ,145

Negative -,054

Kolmogorov-Smirnov Z ,892

Asymp. Sig. (2-tailed) ,403

a. Test distribution is Normal.

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Regression

Variables Entered/Removeda

Model Variables Entered Variables

Removed

Method

1 PM, KK, SPIb _{. Enter}

a. Dependent Variable: K

b. All requested variables entered.

Model Summaryb

Model R R Square Adjusted R

Square

Std. Error of the

Estimate

1 ,492a _,242 _,175 _,39067

a. Predictors: (Constant), PM, KK, SPI

b. Dependent Variable: K

ANOVAa

Model Sum of Squares df Mean Square F Sig.

1

Regression 1,659 3 ,553 3,624 ,023b

Residual 5,189 34 ,153

Total 6,849 37

b. Predictors: (Constant), PM, KK, SPI

Coefficientsa

Model Unstandardized

Coefficients

Standardized

Coefficients

t Sig. Collinearity

Statistics

B Std. Error Beta Tolerance VIF

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Coefficient Correlationsa

Model PM KK SPI

1

Correlations

PM 1,000 -,143 -,201

KK -,143 1,000 ,261

SPI -,201 ,261 1,000

Covariances

PM ,022 -,002 -,006

KK -,002 ,012 ,006

SPI -,006 ,006 ,044

Residuals Statisticsa

Minimum Maximum Mean Std. Deviation N

Predicted Value 1,2640 2,1980 1,6237 ,21178 38

Residual -,61983 ,88072 ,00000 ,37450 38

Std. Predicted Value -1,698 2,712 ,000 1,000 38

Std. Residual -1,587 2,254 ,000 ,959 38

Collinearity Diagnosticsa

Model Dimension Eigenvalue Condition

Index

Variance Proportions

(Constant) KK SPI PM

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Regression

Variables Entered/Removeda

Model Variables Entered Variables

Removed

Method

1 PM, KK, SPIb _{. Enter}

a. Dependent Variable: abs_res

b. All requested variables entered.

Model Summaryb

Model R R Square Adjusted R

Square

Std. Error of the

Estimate

1 ,250a _,063 _-,020 _,21524

a. Predictors: (Constant), PM, KK, SPI

b. Dependent Variable: abs_res

ANOVAa

Model Sum of Squares df Mean Square F Sig.

1

Regression ,105 3 ,035 ,757 ,526b

Residual 1,575 34 ,046

Total 1,680 37

b. Predictors: (Constant), PM, KK, SPI

Coefficientsa

Model Unstandardized

Coefficients

Standardized

Coefficients

t Sig. Collinearity

Statistics

B Std. Error Beta Tolerance VIF

(18)

Coefficient Correlationsa

Model PM KK SPI

1

Correlations

PM 1,000 -,143 -,201

KK -,143 1,000 ,261

SPI -,201 ,261 1,000

Covariances

PM ,007 -,001 -,002

KK -,001 ,004 ,002

SPI -,002 ,002 ,013

Collinearity Diagnosticsa

Model Dimension Eigenvalue Condition

Index

Variance Proportions

(Constant) KK SPI PM

Residuals Statisticsa

Minimum Maximum Mean Std. Deviation N

Predicted Value ,1817 ,4521 ,3039 ,05331 38

Residual -,25562 ,48947 ,00000 ,20633 38

Std. Predicted Value -2,292 2,781 ,000 1,000 38

Std. Residual -1,188 2,274 ,000 ,959 38

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LAMPIRAN 5.

UJI STATISTIK DESKRIPTIF

Means

Cases

Included Excluded Total

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