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Your trial period for PASW Statistics will expire in 5 days.

GET DATA /TYPE=XLSX /FILE='C:\Users\kalonia\Desktop\data.xlsx'

/SHEET=name 'Sheet1' /CELLRANGE=full /READNAMES=on /ASSUMEDSTRWIDTH=32767.DATASET NAME DataSet1 WINDOW=FRONT.FREQUENCIES VARIABLES=A1 A2 A3 A4 A5 A6 A7 B1 B2 B3 B4 C1 C2 C3 C4 /ORDER=ANALYSIS.

Frequencies

Active Dataset

Filter

Weight

Split File

N of Rows in Working DataFileDefinition of Missing

Cases Used

Processor Time

Elapsed Time

[DataSet1]

Valid

Missing

Frequency Table

NotesOutput Created

Comments

Input

Missing Value Handling

Syntax

Resources

N

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3

4

5Total

3

4

5

Total

3

4

5

Total

3

4

5

Total

3

45

Total

3

A1

Valid

A2

Valid

A3

Valid

A4

Valid

A5

Valid

A6

Valid

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4

5

Total

3

4

5

Total

3

4

5

Total

3

4

5

Total

3

4

5

Total

3

4

5

Total

A7

Valid

B1

Valid

B2

Valid

B3

Valid

B4

Valid

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3

4

5Total

3

4

5

Total

3

4

5

Total

3

4

5

Total

DESCRIPTIVES VARIABLES=A1 A2 A3 A4 A5 A6 A7 B1 B2 B3 B4 C1 C2 C3 C4 /STATISTICS=MEAN STDDEV KURTOSIS SKEWNESS.

Descriptives

Active Dataset

Filter

C1

Valid

C2

Valid

C3

Valid

C4

Valid

Notes

Output Created

Comments

Input

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Weight

Split File

N of Rows in Working DataFileDefinition of Missing

Cases Used

Processor Time

Elapsed Time

[DataSet1]

N

Statistic A1 55

A2 55

A3 55

A4 55

A5 55

A6 55

A7 55

B1 55

B2 55

B3 55

B4 55

C1 55

C2 55

C3 55

C4 55

Valid N (listwise) 55

FACTOR /VARIABLES A1 A2 A3 A4 A5 A6 A7 /MISSING LISTWISE /ANALYSIS A1 A2 A3 A4 A5 A6 A7 /PRINT INITIAL EXTRACTION ROTATION /PLOT ROTATION /CRITERIA MINEIGEN(1) ITERATE(25)

Missing Value Handling

Syntax

Resources

Descr

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/EXTRACTION PC /CRITERIA ITERATE(25) /ROTATION VARIMAX /METHOD=CORRELATION.

Factor Analysis

Active Dataset

Filter

Weight

Split File

N of Rows in Working Data

FileDefinition of Missing

Cases Used

Processor Time

Elapsed Time

Maximum Memory Required

[DataSet1]

Initial A1 1.000

A2 1.000

A3 1.000

A4 1.000

Notes

Output Created

Comments

Input

Missing Value Handling

Syntax

Resources

Communalities

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A5 1.000

A6 1.000

A7 1.000

1

2

3

4

5

6

7

1 A1 .767

A2 .770

A3 .713

A4 .526

A5 .438

A6 .169

A7 .460

1 A1 .838

A2 .844 A3 .796

A4 .126

A5 -.029

A6 .028

A7 .193

Extraction Method: Principal Component Analysis.

Component

Extraction Method: Principal Component Analysis.

Component Matrix a

Extraction Method: Principal Component Analysis.

a. 3 components extracted.

Rotated Component Matrix a

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1

2

3

FACTOR /VARIABLES A1 A2 A3 A4 A5 A6 A7 /MISSING LISTWISE /ANALYSIS A1 A2 A3 A4 A5 A6 A7

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

a. Rotation converged in 4 iterations.

Component Transformation MatrixComponent

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

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/PRINT INITIAL EXTRACTION ROTATION /FORMAT BLANK(.6) /PLOT ROTATION /CRITERIA MINEIGEN(1) ITERATE(25) /EXTRACTION PC /CRITERIA ITERATE(25) /ROTATION VARIMAX /METHOD=CORRELATION.

Factor Analysis

Active Dataset

Filter

Weight

Split File

N of Rows in Working DataFileDefinition of Missing

Cases Used

Processor Time

Elapsed Time

Maximum Memory Required

[DataSet1]

Initial

Notes

Output Created

Comments

Input

Missing Value Handling

Syntax

Resources

Communalities

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A1 1.000

A2 1.000

A3 1.000

A4 1.000

A5 1.000

A6 1.000

A7 1.000

1

2

3

4

5

6

7

1 A1 .767

A2 .770

A3 .713

A4

A5

A6

A7

1 A1 .838

A2 .844

A3 .796

A4

Extraction Method: Principal Component Analysis.

Component

Extraction Method: Principal Component Analysis.

Component Matrix a

Extraction Method: Principal Component Analysis.

a. 3 components extracted.

Rotated Component Matrixa

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A5

A6

A7

1

2

3

COMPUTE DISINTEGRITY=mean(A1,A2,A3).

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

a. Rotation converged in 4 iterations.

Component Transformation Matrix

Component

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

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EXECUTE.COMPUTE DISHONESTY=mean(A4,A5).EXECUTE.RELIABILITY /VARIABLES=DISINTEGRITY DISHONESTY /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA.

Reliability

Active Dataset

Filter

WeightSplit File

N of Rows in Working DataFileMatrix Input

Definition of Missing

Cases Used

Processor Time

Elapsed Time

[DataSet1]

Scale: ALL VARIABLES

Valid

Excluded a

Total

Notes

Output Created

Comments

Input

Missing Value Handling

Syntax

Resources

Case Processing Summary

Cases

a. Listwise deletion based on all variables in the procedure.

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Cronbach's Alpha N of Items.323 2

RELIABILITY /VARIABLES=A1 A2 A3 /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA.

Reliability

Active Dataset

Filter

Weight

Split File

N of Rows in Working DataFileMatrix Input

Definition of Missing

Cases Used

Processor Time

Elapsed Time

[DataSet1]

Scale: ALL VARIABLES

Valid

Excluded a

Total

Reliability Statistics

Notes

Output Created

Comments

Input

Missing Value Handling

Syntax

Resources

Case Processing Summary

Cases

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Cronbach's Alpha N of Items.782 3

RELIABILITY /VARIABLES=A4 A5 /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA.

Reliability

Active Dataset

Filter

Weight

Split File

N of Rows in Working DataFileMatrix Input

Definition of Missing

Cases Used

Processor Time

Elapsed Time

[DataSet1]

Scale: ALL VARIABLES

a. Listwise deletion based on all variables in the procedure.

Reliability Statistics

Notes

Output Created

Comments

Input

Missing Value Handling

Syntax

Resources

Case Processing Summary

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Valid

Excluded a

Total

Cronbach's Alpha N of Items.638 2

CORRELATIONS /VARIABLES=DISINTEGRITY DISHONESTY /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE.

Correlations

Active Dataset

Filter

Weight

Split File

N of Rows in Working DataFileDefinition of Missing

Cases Used

Processor Time

Elapsed Time

[DataSet1]

Cases

a. Listwise deletion based on all variables in the procedure.

Reliability Statistics

Notes

Output Created

Comments

Input

Missing Value Handling

Syntax

Resources

Correlations

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Pearson Correlation

Sig. (2-tailed)

N

Pearson Correlation

Sig. (2-tailed)

N

FACTOR /VARIABLES B1 B2 B3 B4 /MISSING LISTWISE /ANALYSIS B1 B2 B3 B4 /PRINT INITIAL EXTRACTION ROTATION /FORMAT BLANK(.6) /PLOT ROTATION /CRITERIA MINEIGEN(1) ITERATE(25) /EXTRACTION PC /CRITERIA ITERATE(25) /ROTATION VARIMAX /METHOD=CORRELATION.

Factor Analysis

Active Dataset

Filter

Weight

Split File

N of Rows in Working DataFileDefinition of Missing

Cases Used

DISINTEGRITY

DISHONESTY

Notes

Output Created

Comments

Input

Missing Value Handling

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Processor Time

Elapsed Time

Maximum Memory Required

[DataSet1]

InitialB1 1.000

B2 1.000

B3 1.000

B4 1.000

1

2

3

4

1B1

B2

B3 .822

B4 .813

Syntax

Resources

Communalities

Extraction Method: Principal Component Analysis.

Component

Extraction Method: Principal Component Analysis.

Component Matrix a

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1B1

B2

B3 .923

B4 .707

1

2

Extraction Method: Principal Component Analysis.

a. 2 components extracted.

Rotated Component Matrix a

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

a. Rotation converged in 3 iterations.

Component Transformation Matrix

Component

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

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COMPUTE BRIBING=mean(B3,B4).EXECUTE.RELIABILITY /VARIABLES=B3 B4 /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA.

Reliability

Active Dataset

Filter

Weight

Split File

N of Rows in Working DataFile

Notes

Output Created

Comments

Input

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Matrix Input

Definition of Missing

Cases Used

Processor Time

Elapsed Time

[DataSet1]

Scale: ALL VARIABLES

Valid

Excluded a

Total

Cronbach's Alpha N of Items.714 2

FACTOR /VARIABLES C1 C2 C3 C4 /MISSING LISTWISE /ANALYSIS C1 C2 C3 C4 /PRINT INITIAL EXTRACTION ROTATION /FORMAT BLANK(.6) /PLOT ROTATION

/CRITERIA MINEIGEN(1) ITERATE(25) /EXTRACTION PC /CRITERIA ITERATE(25) /ROTATION VARIMAX /METHOD=CORRELATION.

Factor Analysis

Missing Value Handling

Syntax

Resources

Case Processing Summary

Cases

a. Listwise deletion based on all variables in the procedure.

Reliability Statistics

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Active Dataset

Filter Weight

Split File

N of Rows in Working DataFileDefinition of Missing

Cases Used

Processor Time

Elapsed TimeMaximum Memory Required

[DataSet1]

Warnings

Only one component was extracted. Component plots cannot be produced.

InitialC1 1.000

C2 1.000

C3 1.000

C4 1.000

Notes

Output Created

Comments

Input

Missing Value Handling

Syntax

Resources

Communalities

Extraction Method: Principal Component Analysis.

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1

2

3

4

Component

1C1 .697

C2

C3 .825

C4

Rotated Component Matrix a

a. Only one component was extracted. The solution cannot be rotated.

COMPUTE PERFORMANCE=mean(C1,C3).EXECUTE.RELIABILITY /VARIABLES=C1 C3 /SCALE('ALL VARIABLES') ALL

/MODEL=ALPHA.

Reliability

Total V

Component

Extraction Method: Principal Component Analysis.

Component Matrix a

Extraction Method: Principal Component Analysis.

a. 1 components extracted.

Notes

Output Created

Comments

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Active Dataset

Filter

Weight

Split File

N of Rows in Working Data

FileMatrix Input

Definition of Missing

Cases Used

Processor Time

Elapsed Time

[DataSet1]

Scale: ALL VARIABLES

Valid

Excluded a

Total

Cronbach's Alpha N of Items.580 2

REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) BCOV R ANOVA CHANGE /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT PERFORMANCE /METHOD=STEPWISE DISINTEGRITY DISHONESTY BRIBING.

Input

Missing Value Handling

Syntax

Resources

Case Processing Summary

Cases

a. Listwise deletion based on all variables in the procedure.

Reliability Statistics

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Regression

Active Dataset

Filter

Weight

Split File

N of Rows in Working DataFileDefinition of Missing

Cases Used

Processor Time

Elapsed TimeMemory Required

Additional Memory Requiredfor Residual Plots

[DataSet1]

MeanPERFORMANCE 3.9818

DISINTEGRITY 4.0970

DISHONESTY 4.0818

BRIBING 4.2091

Notes

Output Created

CommentsInput

Missing Value Handling

Syntax

Resources

Descriptive Statistics

Correlations

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PERFORMANCE

DISINTEGRITY

DISHONESTY

BRIBING

PERFORMANCE

DISINTEGRITY

DISHONESTY

BRIBING

PERFORMANCE

DISINTEGRITY

DISHONESTY

BRIBING

1

1

Regression

Residual

Total

Pearson Correlation

Sig. (1-tailed)

N

Variables Entered/Removed a

Model

a. Dependent Variable: PERFORMANCE

Model

a. Predictors: (Constant), DISINTEGRITY

ANOVA b

Model

1

a. Predictors: (Constant), DISINTEGRITY

b. Dependent Variable: PERFORMANCE

Model

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(Constant)

DISINTEGRITY

DISHONESTY

BRIBING

Correlations

Covariances

1

a. Dependent Variable: PERFORMANCE

Excluded Vari

Model

a. Dependent Variable: PERFORMANCE

1

a. Predictors in the Model: (Constant), DISINTEGRITY

b. Dependent Variable: PERFORMANCE

Coefficient Correlationsa

Model

1

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Frequency Percent Valid PercentCumulative

Percent14 25.5 25.5 25.5

22 40.0 40.0 65.5

19 34.5 34.5 100.055 100.0 100.0

Frequency Percent Valid PercentCumulative

Percent12 21.8 21.8 21.8

29 52.7 52.7 74.5

14 25.5 25.5 100.0

55 100.0 100.0

Frequency Percent Valid PercentCumulative

Percent8 14.5 14.5 14.5

30 54.5 54.5 69.1

17 30.9 30.9 100.0

55 100.0 100.0

Frequency Percent Valid PercentCumulative

Percent11 20.0 20.0 20.0

29 52.7 52.7 72.7

15 27.3 27.3 100.0

55 100.0 100.0

Frequency Percent Valid PercentCumulative

Percent14 25.5 25.5 25.5

22 40.0 40.0 65.519 34.5 34.5 100.0

55 100.0 100.0

Frequency Percent Valid PercentCumulative

Percent21 38.2 38.2 38.2

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23 41.8 41.8 80.0

11 20.0 20.0 100.0

55 100.0 100.0

Frequency Percent Valid PercentCumulative

Percent12 21.8 21.8 21.8

35 63.6 63.6 85.5

8 14.5 14.5 100.0

55 100.0 100.0

Frequency Percent Valid PercentCumulative

Percent16 29.1 29.1 29.1

16 29.1 29.1 58.2

23 41.8 41.8 100.0

55 100.0 100.0

Frequency Percent Valid PercentCumulative

Percent14 25.5 25.5 25.5

25 45.5 45.5 70.9

16 29.1 29.1 100.0

55 100.0 100.0

Frequency Percent Valid PercentCumulative

Percent9 16.4 16.4 16.4

26 47.3 47.3 63.6

20 36.4 36.4 100.0

55 100.0 100.0

Frequency Percent Valid PercentCumulative

Percent10 18.2 18.2 18.2

23 41.8 41.8 60.0

22 40.0 40.0 100.0

55 100.0 100.0

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Frequency Percent Valid PercentCumulative

Percent11 20.0 20.0 20.0

31 56.4 56.4 76.4

13 23.6 23.6 100.055 100.0 100.0

Frequency Percent Valid PercentCumulative

Percent20 36.4 36.4 36.4

24 43.6 43.6 80.0

11 20.0 20.0 100.0

55 100.0 100.0

Frequency Percent Valid PercentCumulative

Percent15 27.3 27.3 27.3

29 52.7 52.7 80.0

11 20.0 20.0 100.0

55 100.0 100.0

Frequency Percent Valid PercentCumulative

Percent17 30.9 30.9 30.9

23 41.8 41.8 72.7

15 27.3 27.3 100.0

55 100.0 100.0

12-Sep-2014 23:38:00

DataSet1

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55

User defined missing values are treatedas missing.

All non-missing data are used.

DESCRIPTIVES VARIABLES=A1 A2 A3 A4 A5 A6 A7 B1 B2 B3 B4 C1 C2 C3 C4 /STATISTICS=MEAN STDDEVKURTOSIS SKEWNESS.

00:00:00.031

00:00:00.031

Mean Std. Deviation

Statistic Statistic Statistic Std. Error Statistic4.09 .776 -.161 .322 -1.305

4.04 .693 -.048 .322 -.848

4.16 .660 -.186 .322 -.666

4.07 .690 -.095 .322 -.832

4.09 .776 -.161 .322 -1.305

3.82 .748 .312 .322 -1.127

3.93 .604 .028 .322 -.150

4.13 .840 -.248 .322 -1.546

4.04 .744 -.059 .322 -1.156

4.20 .704 -.303 .322 -.914

4.22 .738 -.374 .322 -1.057

4.04 .666 -.040 .322 -.655

3.84 .739 .273 .322 -1.100

3.93 .690 .095 .322 -.832

3.96 .769 .063 .322 -1.282

iptive Statistics

Skewness Kurt

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12-Sep-2014 23:38:50

DataSet1

55

MISSING=EXCLUDE: User-definedmissing values are treated as missing.

LISTWISE: Statistics are based on caseswith no missing values for any variable

used.FACTOR /VARIABLES A1 A2 A3 A4 A5 A6 A7 /MISSING LISTWISE /ANALYSIS A1 A2 A3 A4 A5 A6 A7 /PRINT INITIAL EXTRACTIONROTATION /PLOT ROTATION /CRITERIA MINEIGEN(1) ITERATE(25) /EXTRACTION PC /CRITERIA ITERATE(25) /ROTATION VARIMAX /METHOD=CORRELATION.

00:00:01.703

00:00:01.739

7204 (7.035K) bytes

Extraction.719

.730

.661

.737

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.723

.930

.335

Total % of Variance Cumulative % Total % of Variance2.399 34.265 34.265 2.399 34.265

1.421 20.301 54.565 1.421 20.301

1.016 14.511 69.077 1.016 14.511

.807 11.532 80.608

.540 7.717 88.325

.449 6.415 94.741

.368 5.259 100.000

2 3-.347 .104

-.352 .119

-.381 -.087

.516 -.441

.728 -.018

.338 .887

.349 -.041

2 3.109 .075

.102 .087

.109 -.123

.821 -.218

.816 .237

.094 .959

.535 .108

Total Variance Explained

Initial Eigenvalues Extraction Sums of Squared

Component

Component

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1 2 3.837 .538 .099

-.542 .789 .290

.078 -.297 .952

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12-Sep-2014 23:39:20

DataSet1

55

MISSING=EXCLUDE: User-definedmissing values are treated as missing.

LISTWISE: Statistics are based on caseswith no missing values for any variable

used.FACTOR /VARIABLES A1 A2 A3 A4 A5 A6 A7

/MISSING LISTWISE /ANALYSIS A1 A2 A3 A4 A5 A6 A7 /PRINT INITIAL EXTRACTIONROTATION /FORMAT BLANK(.6) /PLOT ROTATION /CRITERIA MINEIGEN(1) ITERATE(25) /EXTRACTION PC /CRITERIA ITERATE(25) /ROTATION VARIMAX /METHOD=CORRELATION.

00:00:00.969

00:00:01.009

7204 (7.035K) bytes

Extraction

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.719

.730

.661

.737

.723

.930

.335

Total % of Variance Cumulative % Total % of Variance2.399 34.265 34.265 2.399 34.265

1.421 20.301 54.565 1.421 20.301

1.016 14.511 69.077 1.016 14.511

.807 11.532 80.608

.540 7.717 88.325

.449 6.415 94.741

.368 5.259 100.000

2 3

.728

.887

2 3

.821

Total Variance Explained

Initial Eigenvalues Extraction Sums of Squared

Component

Component

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.816

.959

1 2 3.837 .538 .099

-.542 .789 .290

.078 -.297 .952

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13-Sep-2014 00:03:45

DataSet1

55

User-defined missing values are treatedas missing.Statistics are based on all cases withvalid data for all variables in theprocedure.RELIABILITY /VARIABLES=DISINTEGRITYDISHONESTY /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA.

00:00:00.016

00:00:00.020

N %55 100.0

0 .0

55 100.0

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13-Sep-2014 00:04:08

DataSet1

55

User-defined missing values are treatedas missing.Statistics are based on all cases withvalid data for all variables in theprocedure.RELIABILITY /VARIABLES=A1 A2 A3 /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA.

00:00:00.015

00:00:00.020

N %55 100.0

0 .0

55 100.0

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13-Sep-2014 00:04:31

DataSet1

55

User-defined missing values are treatedas missing.Statistics are based on all cases withvalid data for all variables in the

rocedure.RELIABILITY /VARIABLES=A4 A5 /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA.

00:00:00.032

00:00:00.021

N %

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55 100.0

0 .0

55 100.0

13-Sep-2014 00:05:19

DataSet1

55

User-defined missing values are treatedas missing.Statistics for each pair of variables arebased on all the cases with valid data forthat pair.CORRELATIONS /VARIABLES=DISINTEGRITYDISHONESTY /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE.

00:00:00.031

00:00:00.028

DISINTEGRITY DISHONESTY

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1 .193

.158

55 55

.193 1

.158

55 55

13-Sep-2014 00:07:06

DataSet1

55

MISSING=EXCLUDE: User-definedmissing values are treated as missing.

LISTWISE: Statistics are based on caseswith no missing values for any variable

used.

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FACTOR /VARIABLES B1 B2 B3 B4 /MISSING LISTWISE /ANALYSIS B1 B2 B3 B4 /PRINT INITIAL EXTRACTIONROTATION /FORMAT BLANK(.6) /PLOT ROTATION /CRITERIA MINEIGEN(1) ITERATE(25) /EXTRACTION PC /CRITERIA ITERATE(25) /ROTATION VARIMAX /METHOD=CORRELATION.

00:00:00.891

00:00:00.900

2872 (2.805K) bytes

Extraction.297

.940

.864

.681

Total % of Variance Cumulative % Total % of Variance1.738 43.447 43.447 1.738 43.447

1.044 26.105 69.552 1.044 26.105

.931 23.285 92.838

.286 7.162 100.000

2

.899

Total Variance Explained

Initial Eigenvalues Extraction Sums of Squared

omponent

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2

.969

1 2.933 .361

-.361 .933

omponent

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13-Sep-2014 00:08:42

DataSet1

55

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User-defined missing values are treatedas missing.Statistics are based on all cases withvalid data for all variables in theprocedure.

RELIABILITY /VARIABLES=B3 B4 /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA.

00:00:00.015

00:00:00.024

N %55 100.0

0 .0

55 100.0

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13-Sep-2014 00:11:38

DataSet1

55

MISSING=EXCLUDE: User-definedmissing values are treated as missing.

LISTWISE: Statistics are based on caseswith no missing values for any variable

used.FACTOR

/VARIABLES C1 C2 C3 C4 /MISSING LISTWISE /ANALYSIS C1 C2 C3 C4 /PRINT INITIAL EXTRACTIONROTATION /FORMAT BLANK(.6) /PLOT ROTATION /CRITERIA MINEIGEN(1) ITERATE(25) /EXTRACTION PC /CRITERIA ITERATE(25) /ROTATION VARIMAX /METHOD=CORRELATION.

00:00:00.062

00:00:00.0552872 (2.805K) bytes

Extraction.485

.356

.681

.182

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Total % of Variance Cumulative % Total % of Variance1.704 42.607 42.607 1.704 42.607

.981 24.529 67.135

.811 20.284 87.419

.503 12.581 100.000

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riance Explained

Initial Eigenvalues Extraction Sums of Squared

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DataSet1

55

User-defined missing values are treatedas missing.Statistics are based on all cases withvalid data for all variables in theprocedure.RELIABILITY /VARIABLES=C1 C3 /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA.

00:00:00.015

00:00:00.012

N %55 100.0

0 .0

55 100.0

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DataSet1

55

User-defined missing values are treatedas missing.Statistics are based on cases with nomissing values for any variable used.

REGRESSION /DESCRIPTIVES MEAN STDDEVCORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95)BCOV R ANOVA CHANGE /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT PERFORMANCE /METHOD=STEPWISE DISINTEGRITYDISHONESTY BRIBING.

00:00:00.062

00:00:00.0492484 bytes

0 bytes

Std. Deviation N.56898 55

.59377 55

.62925 55

.63604 55

PERFORMANCE DISINTEGRITY DISHONESTY BRIBING

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B Std. Error Beta2.849 .522 5.462 .000

.276 .126 .289 2.194 .033

CollinearityStatistics

Tolerance

-.027 a -.197 .845 -.027 .963

.182 a 1.357 .181 .185 .943

DISINTEGRITYDISINTEGRITY 1.000

DISINTEGRITY .016

t Sig.

ables b

Beta In t Sig.Partial

Correlation

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A6 A7 B1 B2 B3 B4 C155 55 55 55 55 55 55

0 0 0 0 0 0 0

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Std. Error .634

.634

.634

.634

.634

.634

.634

.634

.634

.634

.634

.634

.634

.634

.634

osis

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Cumulative % Total % of Variance Cumulative %34.265 2.103 30.043 30.043

54.565 1.669 23.840 53.883

69.077 1.064 15.194 69.077

Loadings Rotation Sums of Squared Loadings

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Cumulative % Total % of Variance Cumulative %34.265 2.103 30.043 30.043

54.565 1.669 23.840 53.883

69.077 1.064 15.194 69.077

Loadings Rotation Sums of Squared Loadings

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Cumulative % Total % of Variance Cumulative %43.447 1.648 41.193 41.193

69.552 1.134 28.359 69.552

Loadings Rotation Sums of Squared Loadings

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Cumulative %42.607

Loadings

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F Change df1 df2 Sig. F Change4.813 1 53 .033

Change Statistics

95.0% Confidence Interval for B

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Lower Bound Upper Bound1.803 3.895

.024 .529

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