LAMPIRAN 3 HASIL UJI VALIDITAS DAN RELIABILITAS PENELITIAN
Hasil Validitas Variabel Penelitian
Validitas X1 PENDIDIKAN
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases Valid 30 100.0
Excludeda 0 .0
Total 30 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's Alpha
Cronbach's Alpha Based on
Standardized
Items N of Items
.814 .813 6
Item-Total Statistics
Scale Mean if Item Deleted
Scale Variance if Item Deleted
Corrected Item-Total Correlation
Squared Multiple Correlation
Cronbach's Alpha if Item
Deleted
VAR00001 21.0000 6.414 .723 .532 .748
VAR00003 20.9333 7.651 .550 .457 .790
VAR00004 21.0000 7.034 .710 .573 .756
VAR00005 21.0667 7.651 .462 .307 .811
VAR00006 21.1333 8.395 .340 .263 .831
Validitas X2 PELATIHAN
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases Valid 30 100.0
Excludeda 0 .0
Total 30 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's Alpha
Cronbach's Alpha Based on
Standardized
Items N of Items
.818 .840 7
Item-Total Statistics
Scale Mean if Item Deleted
Scale Variance if Item Deleted
Corrected Item-Total Correlation
Squared Multiple Correlation
Cronbach's Alpha if Item
Deleted
VAR00001 25.2333 8.806 .470 .508 .811
VAR00003 25.0333 8.171 .439 .468 .831
VAR00004 25.0667 8.823 .535 .566 .798
VAR00005 24.9000 8.438 .659 .678 .777
VAR00006 24.9000 8.921 .664 .689 .782
VAR00007 24.7000 8.631 .673 .556 .777
Validitas X3 PENGEMBANGAN KARIR
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases Valid 30 100.0
Excludeda 0 .0
Total 30 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's Alpha
Cronbach's Alpha Based on
Standardized
Items N of Items
.848 .851 10
Item-Total Statistics
Scale Mean if Item Deleted
Scale Variance if Item Deleted
Corrected Item-Total Correlation
Squared Multiple Correlation
Cronbach's Alpha if Item
Deleted
VAR00002 38.6333 14.585 .669 .751 .822
Validitas Y KINERJA
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases Valid 30 100.0
Excludeda 0 .0
Total 30 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's Alpha
Cronbach's Alpha Based on
Standardized
Items N of Items
.949 .946 20
Item-Total Statistics
Scale Mean if Item Deleted
Scale Variance if Item Deleted
Corrected Item-Total Correlation
Squared Multiple Correlation
Cronbach's Alpha if Item
Deleted
X2.1 73.2333 134.185 .701 . .946
X2.2 73.4000 134.662 .780 . .945
X2.3 72.8667 141.361 .594 . .948
X2.5 73.1000 133.266 .777 . .945
X2.6 73.2000 130.166 .852 . .944
X2.7 72.6000 146.179 .412 . .950
X2.8 72.7667 145.633 .466 . .949
X2.9 72.6667 146.437 .384 . .950
X2.10 72.7000 147.114 .316 . .951
X2.11 72.7333 140.823 .661 . .947
X2.12 72.5667 145.495 .502 . .949
X2.13 72.9000 134.783 .783 . .945
X2.14 72.7667 135.495 .807 . .945
X2.15 72.9333 131.444 .834 . .944
X2.16 73.1000 126.507 .884 . .943
X2.17 72.9667 132.516 .806 . .944
X2.18 72.7000 135.459 .735 . .946
X2.19 72.9667 133.826 .746 . .946
X2.20 72.5667 145.495 .502 . .949
LAMPIRAN 4 : HASIL PENGOLAHAN SPSS (Regresi)
Regression
[DataSet0]
Variables Entered/Removedb
Model Variables Entered
Variables
Removed Method
1 X3, X1, X2a . Enter
a. All requested variables entered. b. Dependent Variable: Y
Model R R Square
Adjusted R Square
Std. Error of the
Estimate Durbin-Watson
1 .425a .652 .400 2.68648 1.703
a. Predictors: (Constant), X3, X1, X2 b. Dependent Variable: Y
ANOVAb
Model Sum of Squares Df Mean Square F Sig.
1 Regression 363.231 3 121.077 16.776 .000a
Residual 490.769 68 7.217
Total 854.000 71
a. Predictors: (Constant), X3, X1, X2 b. Dependent Variable: Y
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
T Sig.
Collinearity Statistics
B Std. Error Beta Tolerance VIF
1 (Constant) 10.474 4.566 2.294 .025
X1 .355 .140 .258 2.538 .013 .820 1.219
X2 .503 .131 .393 3.836 .000 .805 1.242
X3 .295 .121 .232 2.435 .018 .931 1.074
a. Dependent Variable: Y
Collinearity Diagnosticsa
Model Dimension Eigenvalue Condition Index
Variance Proportions
(Constant) X1 X2 X3
1 1 3.983 1.000 .00 .00 .00 .00
2 .009 21.611 .00 .20 .07 .80
3 .005 28.267 .02 .71 .63 .04
Collinearity Diagnosticsa
Model Dimension Eigenvalue Condition Index
Variance Proportions
(Constant) X1 X2 X3
1 1 3.983 1.000 .00 .00 .00 .00
2 .009 21.611 .00 .20 .07 .80
3 .005 28.267 .02 .71 .63 .04
4 .004 33.361 .98 .09 .30 .16
a. Dependent Variable: Y
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 35.8740 46.3463 42.5000 2.26184 72
Std. Predicted Value -2.929 1.701 .000 1.000 72
Standard Error of Predicted Value
.318 1.450 .597 .213 72
Adjusted Predicted Value 36.0718 46.3696 42.5033 2.27121 72
Residual -6.80956 6.93429 .00000 2.62911 72
Std. Residual -2.535 2.581 .000 .979 72
Stud. Residual -2.625 2.695 -.001 1.007 72
Deleted Residual -7.30121 7.56145 -.00329 2.78570 72
Stud. Deleted Residual -2.748 2.831 -.001 1.022 72
Mahal. Distance .010 19.708 2.958 3.317 72
Cook's Distance .000 .164 .015 .027 72
Centered Leverage Value .000 .278 .042 .047 72
