Appendix Pengaruh Corporate Social Terhadap Nilai Perusahaan dengan sebagai Variabel Moderasi Pada Perusahaan Perbankan Yang Terdaftar Di Bursa Efek Indonesia

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Jadwal Penelitian

Jadwal

2015

Januari Februari Maret Juli Agustus September Oktober

1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4 1.Pengajuan

judul

2.Pembuatan

Proposal

3. Bimbingan

Proposal

4. Seminar

Proposal

5.Pengumpulan

Data

6. Bimbingan

Skripsi

7. Sidang Meja Hijau

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DESCRIPTIVES

VARIABLES=CSR ROA PBV

/STATISTICS=MEAN STDDEV MIN MAX .

Descriptives

Notes

Output Created _{22-SEP-2015 14:24:23}

Comments

Input Active Dataset _DataSet0

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N of Rows in Working Data File

36

Missing Value Handling

Definition of Missing _{User defined missing values are treated as} missing.

Cases Used All non-missing data are used.

Syntax DESCRIPTIVES

VARIABLES=CSR ROA PBV

/STATISTICS=MEAN STDDEV MIN MAX .

Resources Elapsed Time

0:00:00.00

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[DataSet0]

Descriptive Statistics

N Minimum Maximum Mean Std. Deviation

CSR 36 .50 1.00 .7422 .16048

ROA ₃₆ _.31 _3.41 _1.9683 _.74717 PBV 36 .46 4.69 1.9039 1.04495

Valid N (listwise) ₃₆

NPAR TESTS

/K-S(NORMAL)= CSR ROA PBV /MISSING ANALYSIS.

NPar Tests

Notes

Comments

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Definition of Missing _{User-defined missing values are} treated as missing.

Cases Used

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Syntax NPAR TESTS

/K-S(NORMAL)= CSR ROA PBV /MISSING ANALYSIS.

0:00:00.02

Number of Cases Allowed(a)

131157

Processor Time 0:00:00.02 a Based on availability of workspace memory.

[DataSet0]

One-Sample Kolmogorov-Smirnov Test

CSR ROA PBV

N ₃₆ ₃₆ ₃₆

Normal Parameters(a,b)

Mean .7422 1.9683 1.9039

Std. Deviation .16048 .74717 1.04495 Most Extreme

Differences

Absolute _.340 _.071 _.129

Positive .340 .051 .129

Negative -.215 -.071 -.084 Kolmogorov-Smirnov Z 2.042 .426 .775 Asymp. Sig. (2-tailed) _.478 _.993 _.585 a Test distribution is Normal.

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REGRESSION

/MISSING LISTWISE

/STATISTICS COEFF OUTS R ANOVA COLLIN TOL CHANGE ZPP /CRITERIA=PIN(.05) POUT(.10)

/NOORIGIN /DEPENDENT PBV

/METHOD=ENTER CSR ROA

/SCATTERPLOT=(*SDRESID ,*ZPRED )

/RESIDUALS DURBIN HIST(ZRESID) NORM(ZRESID) .

Regression

Notes

Comments

Filter <none>

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N of Rows in Working Data File 36 Missing Value

Handling

Cases Used Statistics are based on cases with no missing values for any variable used.

Syntax REGRESSION

/MISSING LISTWISE

/STATISTICS COEFF OUTS R ANOVA COLLIN TOL CHANGE ZPP /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN

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/METHOD=ENTER CSR ROA /SCATTERPLOT=(*SDRESID ,*ZPRED )

/RESIDUALS DURBIN

HIST(ZRESID) NORM(ZRESID) .

0:00:00.85

Memory Required 1636 bytes

Additional Memory Required for Residual Plots

904 bytes

Processor Time 0:00:00.61

[DataSet0]

Variables Entered/Removed(b)

Model

Variables Entered

Variables

Removed Method 1 ROA,

CSR(a) . Enter a All requested variables entered.

b Dependent Variable: PBV

Model Summary(b)

Model

R R Square

Adjusted R Square

Std. Error of

the Estimate Change Statistics Durbin-Watson

a Predictors: (Constant), ROA, CSR

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ANOVA(b)

Model

Sum of

Squares df Mean Square F Sig. 1 Regression 12.099 2 6.050 7.644 .002(a)

Residual 26.118 33 .791

Total 38.217 35

a Predictors: (Constant), ROA, CSR b Dependent Variable: PBV

Coefficients(a)

Model

Unstandardized Coefficients

Standardized

Coefficients t Sig. Correlations Collinearity Statistics

B Std. Error Beta Zero-order Partial Part Tolerance VIF B Std. Error

1 (Constant) .563 .502 1.122 .270

CSR .483 .708 .099 .682 .500 .156 .118 .098 .989 1.011

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Collinearity Diagnostics(a)

Model Dimension

Eigenvalue

Condition

Index Variance Proportions

(Constant) CSR ROA (Constant) CSR

1 1 2.694 1.000 .01 .03 .02

2 .253 3.264 .02 .77 .14

3 .053 7.106 .97 .20 .84

a Dependent Variable: PBV

Residuals Statistics(a)

Minimum Maximum Mean Std. Deviation N Predicted Value .6030 3.1405 1.9039 .58796 36 Std. Predicted Value -2.213 2.103 .000 1.000 36 Standard Error of

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Charts

Frequency

12

10

8

6

4

2

Histogram Dependent Variable: PBV

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E

xpect

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C

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P

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R

egressi

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tudent

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dual

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REGRESSION

/MISSING LISTWISE

/STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN

/DEPENDENT PBV

/METHOD=ENTER CSR .

Regression

Notes

Output Created 22-SEP-2015 14:43:39

Comments

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Syntax REGRESSION

/MISSING LISTWISE

/STATISTICS COEFF OUTS R ANOVA

/CRITERIA=PIN(.05) POUT(.10) /NOORIGIN

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0:00:00.00

0 bytes

[DataSet0]

Model

Variables Entered

Variables

Removed Method 1 CSR(a) . Enter a All requested variables entered.

b Dependent Variable: PBV

Model Summary

Model R R Square

Adjusted R Square

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ANOVA(b)

Model

Sum of

Squares df Mean Square F Sig. 1 Regression _.929 ₁ _.929 _.847 _.364(a)

Residual 37.288 34 1.097

Total 38.217 35

a Predictors: (Constant), CSR b Dependent Variable: PBV

Coefficients(a)

Model

Standardized

Coefficients t Sig.

B _{Std. Error} _Beta _B _{Std. Error} 1 (Constant) _2.150 _.319 _6.736 _.000

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COMPUTE moderat1 = CSR*ROA . EXECUTE .

REGRESSION

/MISSING LISTWISE

/STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN

/DEPENDENT PBV

/METHOD=ENTER CSR ROA moderat1 .

Regression

Notes

Comments

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36

Syntax REGRESSION

/MISSING LISTWISE

/STATISTICS COEFF OUTS R ANOVA

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/DEPENDENT PBV

/METHOD=ENTER CSR ROA moderat1 .

0:00:00.00

0 bytes

[DataSet0]

Model

Variables Entered

Variables

Removed Method 1 moderat1,

ROA, CSR(a)

. Enter

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Model Summary

Model R R Square

Adjusted R Square

Std. Error of the Estimate 1 _.563(a) _.317 _.253 _.90343 a Predictors: (Constant), moderat1, ROA, CSR

ANOVA(b)

Model

Sum of

Squares df Mean Square F Sig. 1 Regression 12.099 3 4.033 4.941 .006(a)

Residual 26.118 32 .816

Total 38.217 35

a Predictors: (Constant), moderat1, ROA, CSR b Dependent Variable: PBV

Coefficients(a)

Model

Standardized

Coefficients t Sig.

B Std. Error Beta B Std. Error 1 (Constant) _.559 _.981 _.570 _.573

CSR .472 2.531 .096 .186 .853

ROA .762 .429 .545 1.777 .085