Your 

trial period for SPSS for Windows will expire in 14 days.

RELIABILITY
  /VARIABLES=VAR00001 VAR00002 VAR00003 VAR00004 VAR00005 VAR00006 VAR00007 VAR00008 VAR00009 VAR00010 VAR00011 VAR00012 VAR00013 VA
   R00014 VAR00015 VAR00016 VAR00017 VAR00018 VAR00019 VAR00020 VAR00021 VAR00022 VAR00023 VAR00024 VAR00025 VAR00026
    VAR00027 VAR00028 VAR00029 VAR00030
  /SCALE('ALL VARIABLES') ALL
  /MODEL=ALPHA

  /SUMMARY=TOTAL.

Reliability

Notes

Output Created 05-Oct-2017 08:35:44

Comments

Input Active Dataset DataSet0

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data File 80

Matrix Input

Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.

Cases Used Statistics are based on all cases with valid

data for all variables in the procedure.

Syntax RELIABILITY
/VARIABLES=VAR00001 VAR00002
VAR00003 VAR00004 VAR00005
VAR00006 VAR00007 VAR00008
VAR00009 VAR00010 VAR00011
VAR00012 VAR00013 VAR00014
VAR00015 VAR00016 VAR00017
VAR00018 VAR00019 VAR00020
VAR00021 VAR00022 VAR00023
VAR00024 VAR00025 VAR00026
VAR00027 VAR00028 VAR00029
VAR00030
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/SUMMARY=TOTAL.

Resources Processor Time 00:00:00.031

Elapsed Time 00:00:00.031

[DataSet0] 

Scale: ALL VARIABLES

Case Processing Summary

N %

Cases Valid 80 100.0

Excludeda 0 .0

Total 80 100.0

a. Listwise deletion based on all variables in the

procedure.

Reliability Statistics

Cronbach's Alpha N of Items

.817 30

Item-Total Statistics

Scale Mean if Item Scale Variance if Corrected Item- Cronbach's Alpha

Deleted Item Deleted Total Correlation if Item Deleted

VAR00001 86.69 68.218 .523 .806

VAR00002 87.66 71.948 .064 .824

VAR00003 87.24 69.221 .375 .810

VAR00004 87.25 70.722 .199 .816

VAR00005 87.46 69.492 .335 .811

VAR00006 87.72 68.835 .361 .810

VAR00007 86.91 68.410 .463 .807

VAR00008 87.29 75.068 -.161 .827

VAR00009 87.10 68.116 .453 .807

VAR00010 87.10 68.167 .398 .809

VAR00011 87.16 69.783 .261 .814

VAR00012 86.82 69.589 .354 .811

VAR00013 86.82 69.640 .378 .810

VAR00014 87.85 71.851 .101 .820

VAR00015 87.02 68.632 .412 .808

VAR00016 87.21 68.195 .403 .808

VAR00017 86.77 70.177 .268 .814

VAR00018 86.82 68.146 .409 .808

VAR00019 87.14 64.854 .672 .797

VAR00020 87.00 70.759 .163 .819

VAR00021 86.92 66.323 .550 .802

VAR00022 87.48 68.531 .327 .812

VAR00023 86.82 70.728 .309 .812

VAR00024 86.89 68.304 .397 .809

VAR00025 87.04 70.264 .266 .814

VAR00026 87.04 68.290 .409 .808

VAR00027 86.64 70.791 .207 .816

VAR00028 87.31 69.661 .244 .815

VAR00029 86.95 67.314 .462 .806

VAR00030 87.84 68.796 .312 .812

RELIABILITY
  /VARIABLES=VAR00001 VAR00003 VAR00004 VAR00005 VAR00006 VAR00007 VAR00009 VAR00010 VAR00011 VAR00012 VAR00013 VAR00015 VAR00016 VA
   R00017 VAR00018 VAR00019 VAR00021 VAR00022 VAR00023 VAR00024 VAR00025 VAR00026 VAR00027 VAR00028 VAR00029 VAR00030
  /SCALE('ALL VARIABLES') ALL
  /MODEL=ALPHA

  /SUMMARY=TOTAL.

Reliability

Notes

Output Created 05-Oct-2017 08:42:01

Comments

Input Active Dataset DataSet0

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data File 80

Matrix Input

Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.

Cases Used Statistics are based on all cases with valid

data for all variables in the procedure.
Syntax RELIABILITY
/VARIABLES=VAR00001 VAR00003
VAR00004 VAR00005 VAR00006
VAR00007 VAR00009 VAR00010
VAR00011 VAR00012 VAR00013
VAR00015 VAR00016 VAR00017
VAR00018 VAR00019 VAR00021
VAR00022 VAR00023 VAR00024
VAR00025 VAR00026 VAR00027
VAR00028 VAR00029 VAR00030
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/SUMMARY=TOTAL.

Resources Processor Time 00:00:00.031

Elapsed Time 00:00:00.015

[DataSet0] 

Scale: ALL VARIABLES

Case Processing Summary

N %

Cases Valid 80 100.0

Excludeda 0 .0

Total 80 100.0

a. Listwise deletion based on all variables in the

procedure.

Reliability Statistics

Cronbach's Alpha N of Items

.839 26

Item-Total Statistics

Scale Mean if Item Scale Variance if Corrected Item- Cronbach's Alpha

Deleted Item Deleted Total Correlation if Item Deleted
VAR00001 75.94 62.667 .516 .830

VAR00003 76.49 63.266 .405 .833

VAR00004 76.50 65.266 .175 .841

VAR00005 76.71 63.904 .327 .836

VAR00006 76.98 63.392 .342 .835

VAR00007 76.16 62.771 .465 .831

VAR00009 76.35 62.509 .452 .831

VAR00010 76.35 62.635 .390 .834

VAR00011 76.41 63.992 .269 .838

VAR00012 76.07 63.918 .353 .835

VAR00013 76.07 63.969 .378 .834

VAR00015 76.27 62.987 .412 .833

VAR00016 76.46 62.404 .418 .832

VAR00017 76.02 64.506 .265 .838

VAR00018 76.07 62.399 .421 .832

VAR00019 76.39 59.456 .665 .823

VAR00021 76.17 60.855 .544 .828

VAR00022 76.72 62.835 .332 .836

VAR00023 76.07 64.906 .322 .836

VAR00024 76.14 62.626 .402 .833

VAR00025 76.29 64.410 .280 .837

VAR00026 76.29 62.562 .418 .833

VAR00027 75.89 65.088 .205 .840

VAR00028 76.56 63.768 .260 .839

VAR00029 76.20 61.580 .475 .830

VAR00030 77.09 63.068 .318 .837

RELIABILITY
  /VARIABLES=VAR00001 VAR00003 VAR00005 VAR00006 VAR00007 VAR00009 VAR00010 VAR00011 VAR00012 VAR00013 VAR00015 VAR00016 VAR00017 VA
   R00018 VAR00019 VAR00021 VAR00022 VAR00023 VAR00024 VAR00025 VAR00026 VAR00027 VAR00028 VAR00029 VAR00030
  /SCALE('ALL VARIABLES') ALL
  /MODEL=ALPHA

  /SUMMARY=TOTAL.

Reliability

Notes

Output Created 05-Oct-2017 08:43:38

Comments
Input Active Dataset DataSet0

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data File 80

Matrix Input

Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.

Cases Used Statistics are based on all cases with valid

data for all variables in the procedure.

Syntax RELIABILITY
/VARIABLES=VAR00001 VAR00003
VAR00005 VAR00006 VAR00007
VAR00009 VAR00010 VAR00011
VAR00012 VAR00013 VAR00015
VAR00016 VAR00017 VAR00018
VAR00019 VAR00021 VAR00022
VAR00023 VAR00024 VAR00025
VAR00026 VAR00027 VAR00028
VAR00029 VAR00030
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/SUMMARY=TOTAL.

Resources Processor Time 00:00:00.015

Elapsed Time 00:00:00.015

[DataSet0] 

Scale: ALL VARIABLES

Case Processing Summary

N %

Cases Valid 80 100.0

Excludeda 0 .0

Total 80 100.0

a. Listwise deletion based on all variables in the

procedure.
 Reliability Statistics

Cronbach's Alpha N of Items

.841 25

Item-Total Statistics

Scale Mean if Item Scale Variance if Corrected Item- Cronbach's Alpha

Deleted Item Deleted Total Correlation if Item Deleted

VAR00001 73.05 59.972 .538 .831

VAR00003 73.60 60.547 .426 .834

VAR00005 73.82 61.463 .319 .838

VAR00006 74.09 60.790 .350 .837

VAR00007 73.28 60.101 .483 .833

VAR00009 73.46 59.847 .468 .833

VAR00010 73.46 60.252 .380 .836

VAR00011 73.52 61.215 .291 .839

VAR00012 73.19 61.268 .366 .836

VAR00013 73.19 61.369 .386 .836

VAR00015 73.39 60.468 .414 .835

VAR00016 73.58 59.918 .417 .834

VAR00017 73.14 62.120 .251 .840

VAR00018 73.19 60.129 .400 .835

VAR00019 73.50 56.886 .677 .824

VAR00021 73.29 58.537 .531 .830

VAR00022 73.84 60.467 .321 .839

VAR00023 73.19 62.433 .313 .838

VAR00024 73.25 60.291 .387 .836

VAR00025 73.40 61.762 .291 .839

VAR00026 73.40 60.066 .418 .834

VAR00027 73.00 62.380 .220 .842

VAR00028 73.68 61.615 .230 .842

VAR00029 73.31 59.053 .479 .832

VAR00030 74.20 60.719 .304 .839

NEW FILE.
DATASET NAME DataSet1 WINDOW=FRONT.
RELIABILITY
  /VARIABLES=VAR00001 VAR00002 VAR00003 VAR00004 VAR00005 VAR00006 VAR00007 VAR00008 VAR00009 VAR00010 VAR00011 VAR00012 VAR00013 VA
   R00014 VAR00015 VAR00016 VAR00017 VAR00018 VAR00019 VAR00020 VAR00021 VAR00022 VAR00023 VAR00024 VAR00025 VAR00026
    VAR00027 VAR00028 VAR00029 VAR00030
  /SCALE('ALL VARIABLES') ALL
  /MODEL=ALPHA

  /SUMMARY=TOTAL.

Reliability

Notes

Output Created 05-Oct-2017 08:51:28

Comments

Input Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data File 80

Matrix Input

Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.

Cases Used Statistics are based on all cases with valid

data for all variables in the procedure.

Syntax RELIABILITY
/VARIABLES=VAR00001 VAR00002
VAR00003 VAR00004 VAR00005
VAR00006 VAR00007 VAR00008
VAR00009 VAR00010 VAR00011
VAR00012 VAR00013 VAR00014
VAR00015 VAR00016 VAR00017
VAR00018 VAR00019 VAR00020
VAR00021 VAR00022 VAR00023
VAR00024 VAR00025 VAR00026
VAR00027 VAR00028 VAR00029
VAR00030
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/SUMMARY=TOTAL.

Resources Processor Time 00:00:00.016

Elapsed Time 00:00:00.016

[DataSet1] 

Scale: ALL VARIABLES

Case Processing Summary

N %

Cases Valid 80 100.0

Excludeda 0 .0

Total 80 100.0

a. Listwise deletion based on all variables in the

procedure.

Reliability Statistics

Cronbach's Alpha N of Items

.771 30

Item-Total Statistics

Scale Mean if Item Scale Variance if Corrected Item- Cronbach's Alpha

Deleted Item Deleted Total Correlation if Item Deleted

VAR00001 67.59 58.726 .217 .769

VAR00002 68.30 59.403 .275 .766

VAR00003 67.55 58.732 .260 .766

VAR00004 68.36 58.867 .344 .763

VAR00005 67.89 59.494 .188 .770

VAR00006 68.56 57.566 .452 .758

VAR00007 67.64 60.006 .178 .770

VAR00008 68.19 61.471 .044 .776

VAR00009 67.21 58.701 .228 .768

VAR00010 68.13 58.592 .284 .765

VAR00011 67.16 59.530 .199 .769

VAR00012 67.91 56.916 .405 .758

VAR00013 67.49 58.734 .248 .767

VAR00014 68.32 58.855 .298 .765

VAR00015 67.81 58.205 .324 .763

VAR00016 68.60 58.673 .386 .762

VAR00017 67.59 61.587 .023 .777

VAR00018 67.63 56.997 .425 .758

VAR00019 67.79 58.423 .324 .763

VAR00020 67.81 57.724 .392 .760

VAR00021 68.44 59.161 .190 .771

VAR00022 68.51 58.683 .309 .764

VAR00023 67.99 58.620 .300 .764

VAR00024 68.65 59.319 .244 .767

VAR00025 67.79 56.904 .459 .756

VAR00026 68.24 58.943 .367 .762

VAR00027 68.29 57.271 .437 .758

VAR00028 67.45 56.580 .369 .760

VAR00029 67.54 59.391 .180 .771

VAR00030 67.93 59.134 .186 .771

RELIABILITY
  /VARIABLES=VAR00001 VAR00002 VAR00003 VAR00004 VAR00005 VAR00006 VAR00009 VAR00010 VAR00011 VAR00012 VAR00013 VAR00014 VAR00015 VA
   R00016 VAR00018 VAR00019 VAR00020 VAR00021 VAR00022 VAR00023 VAR00024 VAR00025 VAR00026 VAR00027 VAR00028 VAR00030
  /SCALE('ALL VARIABLES') ALL
  /MODEL=ALPHA

  /SUMMARY=TOTAL.

Reliability

Notes

Output Created 05-Oct-2017 08:57:29

Comments

Input Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data File 80

Matrix Input

Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.

Cases Used Statistics are based on all cases with valid

data for all variables in the procedure.
Syntax RELIABILITY
/VARIABLES=VAR00001 VAR00002
VAR00003 VAR00004 VAR00005
VAR00006 VAR00009 VAR00010
VAR00011 VAR00012 VAR00013
VAR00014 VAR00015 VAR00016
VAR00018 VAR00019 VAR00020
VAR00021 VAR00022 VAR00023
VAR00024 VAR00025 VAR00026
VAR00027 VAR00028 VAR00030
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/SUMMARY=TOTAL.

Resources Processor Time 00:00:00.032

Elapsed Time 00:00:00.014

[DataSet1] 

Scale: ALL VARIABLES

Case Processing Summary

N %

Cases Valid 80 100.0

Excludeda 0 .0

Total 80 100.0

a. Listwise deletion based on all variables in the

procedure.

Reliability Statistics

Cronbach's Alpha N of Items

.780 26

Item-Total Statistics

Scale Mean if Item Scale Variance if Corrected Item- Cronbach's Alpha

Deleted Item Deleted Total Correlation if Item Deleted
VAR00001 57.39 52.139 .183 .781

VAR00002 58.10 52.370 .278 .774

VAR00003 57.35 51.775 .258 .775

VAR00004 58.16 51.657 .373 .770

VAR00005 57.69 52.420 .192 .779

VAR00006 58.36 50.538 .468 .765

VAR00009 57.01 51.329 .261 .776

VAR00010 57.92 51.463 .299 .773

VAR00011 56.96 52.518 .198 .778

VAR00012 57.71 49.929 .416 .766

VAR00013 57.29 51.904 .234 .777

VAR00014 58.12 51.731 .313 .772

VAR00015 57.61 51.531 .297 .773

VAR00016 58.40 51.813 .374 .770

VAR00018 57.42 49.994 .438 .765

VAR00019 57.59 51.612 .309 .773

VAR00020 57.61 50.620 .413 .767

VAR00021 58.24 52.158 .189 .780

VAR00022 58.31 51.939 .285 .774

VAR00023 57.79 51.815 .284 .774

VAR00024 58.45 52.073 .269 .775

VAR00025 57.59 50.043 .459 .765

VAR00026 58.04 52.188 .338 .772

VAR00027 58.09 50.562 .418 .767

VAR00028 57.25 49.911 .354 .770

VAR00030 57.72 51.847 .208 .779

RELIABILITY
  /VARIABLES=VAR00002 VAR00003 VAR00004 VAR00005 VAR00006 VAR00009 VAR00010 VAR00011 VAR00012 VAR00013 VAR00014 VAR00015 VAR00016 VA
   R00018 VAR00019 VAR00020 VAR00021 VAR00022 VAR00023 VAR00024 VAR00025 VAR00026 VAR00027 VAR00028 VAR00030
  /SCALE('ALL VARIABLES') ALL
  /MODEL=ALPHA

  /SUMMARY=TOTAL.

Reliability

Notes

Output Created 05-Oct-2017 09:00:24

Comments
Input Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data File 80

Matrix Input

Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.

Cases Used Statistics are based on all cases with valid

data for all variables in the procedure.

Syntax RELIABILITY
/VARIABLES=VAR00002 VAR00003
VAR00004 VAR00005 VAR00006
VAR00009 VAR00010 VAR00011
VAR00012 VAR00013 VAR00014
VAR00015 VAR00016 VAR00018
VAR00019 VAR00020 VAR00021
VAR00022 VAR00023 VAR00024
VAR00025 VAR00026 VAR00027
VAR00028 VAR00030
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/SUMMARY=TOTAL.

Resources Processor Time 00:00:00.015

Elapsed Time 00:00:00.015

[DataSet1] 

Scale: ALL VARIABLES

Case Processing Summary

N %

Cases Valid 80 100.0

Excludeda 0 .0

Total 80 100.0

a. Listwise deletion based on all variables in the

procedure.
 Reliability Statistics

Cronbach's Alpha N of Items

.781 25

Item-Total Statistics

Scale Mean if Item Scale Variance if Corrected Item- Cronbach's Alpha

Deleted Item Deleted Total Correlation if Item Deleted

VAR00002 55.40 49.230 .299 .774

VAR00003 54.65 49.066 .235 .778

VAR00004 55.46 48.809 .361 .772

VAR00005 54.99 49.481 .190 .780

VAR00006 55.66 47.518 .481 .765

VAR00009 54.31 48.243 .274 .776

VAR00010 55.22 48.328 .319 .773

VAR00011 54.26 49.715 .182 .781

VAR00012 55.01 46.924 .427 .767

VAR00013 54.59 48.954 .233 .778

VAR00014 55.42 48.577 .337 .772

VAR00015 54.91 48.587 .297 .774

VAR00016 55.70 48.846 .377 .771

VAR00018 54.72 46.885 .460 .765

VAR00019 54.89 48.709 .305 .774

VAR00020 54.91 47.575 .427 .767

VAR00021 55.54 49.442 .167 .783

VAR00022 55.61 49.076 .276 .775

VAR00023 55.09 49.144 .255 .776

VAR00024 55.75 48.848 .298 .774

VAR00025 54.89 47.190 .454 .766

VAR00026 55.34 49.442 .310 .774

VAR00027 55.39 47.911 .390 .769

VAR00028 54.55 47.111 .345 .772

VAR00030 55.02 48.658 .228 .779

RELIABILITY
  /VARIABLES=VAR00002 VAR00003 VAR00004 VAR00005 VAR00006 VAR00009 VAR00010 VAR00012 VAR00013 VAR00014 VAR00015 VAR00016 VAR00018 VA
   R00019 VAR00020 VAR00021 VAR00022 VAR00023 VAR00024 VAR00025 VAR00026 VAR00027 VAR00028 VAR00030
  /SCALE('ALL VARIABLES') ALL
  /MODEL=ALPHA

  /SUMMARY=TOTAL.

Reliability

Notes

Output Created 05-Oct-2017 09:01:44

Comments

Input Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data File 80

Matrix Input

Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.

Cases Used Statistics are based on all cases with valid

data for all variables in the procedure.

Syntax RELIABILITY
/VARIABLES=VAR00002 VAR00003
VAR00004 VAR00005 VAR00006
VAR00009 VAR00010 VAR00012
VAR00013 VAR00014 VAR00015
VAR00016 VAR00018 VAR00019
VAR00020 VAR00021 VAR00022
VAR00023 VAR00024 VAR00025
VAR00026 VAR00027 VAR00028
VAR00030
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/SUMMARY=TOTAL.

Resources Processor Time 00:00:00.016

Elapsed Time 00:00:00.015

[DataSet1] 

Scale: ALL VARIABLES
 Case Processing Summary

N %

Cases Valid 80 100.0

Excludeda 0 .0

Total 80 100.0

a. Listwise deletion based on all variables in the

procedure.

Reliability Statistics

Cronbach's Alpha N of Items

.781 24

Item-Total Statistics

Scale Mean if Item Scale Variance if Corrected Item- Cronbach's Alpha

Deleted Item Deleted Total Correlation if Item Deleted

VAR00002 52.28 46.658 .325 .773

VAR00003 51.52 46.809 .224 .779

VAR00004 52.34 46.277 .384 .770

VAR00005 51.86 47.133 .187 .781

VAR00006 52.54 45.138 .488 .765

VAR00009 51.19 46.180 .249 .778

VAR00010 52.10 45.939 .324 .773

VAR00012 51.89 44.531 .436 .766

VAR00013 51.46 46.783 .215 .779

VAR00014 52.30 46.314 .327 .773

VAR00015 51.79 46.473 .273 .776

VAR00016 52.57 46.247 .410 .769

VAR00018 51.60 44.724 .445 .766

VAR00019 51.76 46.588 .279 .775

VAR00020 51.79 45.385 .412 .768

VAR00021 52.41 46.802 .191 .782

VAR00022 52.49 46.354 .316 .773

VAR00023 51.96 46.923 .240 .777

VAR00024 52.62 46.440 .304 .774

VAR00025 51.76 44.968 .444 .766

VAR00026 52.21 47.030 .317 .774

VAR00027 52.26 45.411 .409 .768

VAR00028 51.42 45.032 .325 .773

VAR00030 51.90 46.116 .245 .778

DATASET ACTIVATE DataSet0.
NEW FILE.
DATASET NAME DataSet2 WINDOW=FRONT.
NPAR TESTS
  /K-S(NORMAL)=Self

  /MISSING ANALYSIS.

NPar Tests

Notes

Output Created 05-Oct-2017 09:08:54

Comments

Input Active Dataset DataSet2

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data File 80

Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.

Cases Used Statistics for each test are based on all

cases with valid data for the variable(s)
used in that test.

Syntax NPAR TESTS

/K-S(NORMAL)=Self
/MISSING ANALYSIS.

Resources Processor Time 00:00:00.000

Elapsed Time 00:00:00.016

Number of Cases Alloweda 196608

a. Based on availability of workspace memory.

[DataSet2] 
 One-Sample Kolmogorov-Smirnov Test

Self

N 80

Normal Parametersa Mean 90.14

Std. Deviation 8.584

Most Extreme Differences Absolute .081

Positive .081

Negative -.070

Kolmogorov-Smirnov Z .728

Asymp. Sig. (2-tailed) .664

a. Test distribution is Normal.

NPAR TESTS
  /K-S(NORMAL)=Pro

  /MISSING ANALYSIS.

NPar Tests

Notes

Output Created 05-Oct-2017 09:09:43

Comments

Input Active Dataset DataSet2

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data File 80

Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.

Cases Used Statistics for each test are based on all

cases with valid data for the variable(s)
used in that test.

Syntax NPAR TESTS

/K-S(NORMAL)=Pro
/MISSING ANALYSIS.

Resources Processor Time 00:00:00.032

Elapsed Time 00:00:00.016

 Number of Cases Alloweda 196608

a. Based on availability of workspace memory.

[DataSet2] 

One-Sample Kolmogorov-Smirnov Test

Pro

N 80

Normal Parametersa Mean 70.29

Std. Deviation 7.895

Most Extreme Differences Absolute .066

Positive .066

Negative -.047

Kolmogorov-Smirnov Z .587

Asymp. Sig. (2-tailed) .881

a. Test distribution is Normal.

Notes

Output Created 05-Oct-2017 09:11:00

Comments

Input Active Dataset DataSet2

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data File 80

Syntax GRAPH
/HISTOGRAM=Self
/PANEL ROWVAR=Pro ROWOP=CROSS.

Resources Processor Time 00:00:00.750

Elapsed Time 00:00:00.844

GRAPH

  /HISTOGRAM=Self.
Graph

Notes

Output Created 05-Oct-2017 09:11:50

Comments

Input Active Dataset DataSet2

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data File 80

Syntax GRAPH
/HISTOGRAM=Self.

Resources Processor Time 00:00:00.703

Elapsed Time 00:00:00.531

[DataSet2] 
GRAPH

  /HISTOGRAM=Pro.

Graph

Notes

Output Created 05-Oct-2017 09:13:16

Comments

Input Active Dataset DataSet2

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data File 80

Syntax GRAPH
/HISTOGRAM=Pro.
Resources Processor Time 00:00:00.797

Elapsed Time 00:00:00.531

[DataSet2] 

* Curve Estimation.
TSET NEWVAR=NONE.
CURVEFIT
  /VARIABLES=Self WITH Pro
  /CONSTANT
  /MODEL=LINEAR QUADRATIC CUBIC

  /PLOT FIT.

Curve Fit

Notes

Output Created 05-Oct-2017 09:20:23

Comments
Input Active Dataset DataSet2

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data File 80

Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.

Cases Used Cases with a missing value in any variable

are not used in the analysis.

Syntax CURVEFIT
/VARIABLES=Self WITH Pro
/CONSTANT
/MODEL=LINEAR QUADRATIC CUBIC
/PLOT FIT.

Resources Processor Time 00:00:00.593

Elapsed Time 00:00:00.641

Use From First observation

To Last observation

Predict From First Observation following the use period

To Last observation

Time Series Settings (TSET) Amount of Output PRINT = DEFAULT

Saving New Variables NEWVAR = NONE

Maximum Number of Lags in

Autocorrelation or Partial MXAUTO = 16
Autocorrelation Plots

Maximum Number of Lags Per

MXCROSS = 7
Cross-Correlation Plots

Maximum Number of New

Variables Generated Per MXNEWVAR = 60
Procedure

Maximum Number of New

MXPREDICT = 1000
Cases Per Procedure

Treatment of User-Missing
MISSING = EXCLUDE
Values

Confidence Interval Percentage

CIN = 95
Value

Tolerance for Entering Variables TOLER = ,0001

in Regression Equations
 Maximum Iterative Parameter
CNVERGE = ,001
Change

Method of Calculating Std.

ACFSE = IND
Errors for Autocorrelations

Length of Seasonal Period Unspecified

Variable Whose Values Label

Unspecified
Observations in Plots

Equations Include CONSTANT

[DataSet2] 

Model Description

Model Name MOD_1

Dependent Variable 1 Self

Equation 1 Linear

2 Quadratic

3 Cubic

Independent Variable Pro

Constant Included

Variable Whose Values Label Observations in Plots Unspecified

Tolerance for Entering Terms in Equations .0001

Case Processing Summary

Total Cases 80

Excluded Casesa 0

Forecasted Cases 0

Newly Created Cases 0

a. Cases with a missing value in any

variable are excluded from the analysis.

Variable Processing Summary

Variables

Dependent Independent
 Self Pro

Number of Positive Values 80 80

Number of Zeros 0 0

Number of Negative Values 0 0

Number of Missing Values User-Missing 0 0

System-Missing 0 0

Model Summary and Parameter Estimates

Dependent Variable:Self

Model Summary Parameter Estimates

Equation R Square F df1 df2 Sig. Constant b1 b2 b3

Linear .266 28.204 1 78 .000 129.520 -.560

Quadratic .266 13.923 2 77 .000 127.237 -.497 .000

Cubic .266 13.923 2 77 .000 127.237 -.497 .000 .000

The independent variable is Pro.

CORRELATIONS
  /VARIABLES=Self Pro
  /PRINT=ONETAIL NOSIG

  /MISSING=PAIRWISE.

Correlations

Notes

Output Created 05-Oct-2017 09:23:07

Comments

Input Active Dataset DataSet2

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data File 80

Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.

Cases Used Statistics for each pair of variables are

based on all the cases with valid data for
that pair.

Syntax CORRELATIONS
/VARIABLES=Self Pro
/PRINT=ONETAIL NOSIG
/MISSING=PAIRWISE.

Resources Processor Time 00:00:00.031

Elapsed Time 00:00:00.015

[DataSet2] 

Correlations

Self Pro

Self Pearson Correlation 1 -.515**

Sig. (1-tailed) .000

N 80 80

Pro Pearson Correlation -.515** 1

 Sig. (1-tailed) .000

N 80 80

**. Correlation is significant at the 0.01 level (1-tailed).

DATASET ACTIVATE DataSet0.
SAVE OUTFILE='D:\Spsi\Input Data Self D.sav'
  /COMPRESSED.
DATASET ACTIVATE DataSet1.
SAVE OUTFILE='D:\Spsi\Input Data Pro D.sav'
  /COMPRESSED.
DATASET ACTIVATE DataSet2.
SAVE OUTFILE='D:\Spsi\Input Hasil Sum Data Self dan Pro D.sav'
  /COMPRESSED.
DATASET ACTIVATE DataSet0.
DATASET CLOSE DataSet2.
DATASET ACTIVATE DataSet1.

DATASET CLOSE DataSet0.