2. Analisis Bivariat
1. Ketaksaan peran
Va ria b le s Ent e re dRe mo ve d
a
Ke taks aan To t
. St epwise
Criteria: Probab ilit
y-o f- F-to-en ter
= .05 0, Probab ilit
y-o f- F-to-re mo
ve = . 10 0.
Mo del 1
Va riab les En tere d
Va riab les Re moved
Me tho d
De pen den t Va riabl e: K inerjaTo t a.
Universitas Sumatera Utara
Model Summary
b
.592
a
.350 .342
1.918 1.937
Model 1
R R Square
Adjusted R Square
Std. Error of the Estimate
Durbin- Watson
Predictors: Constant, KetaksaanTot a.
Dependent Vari able: KinerjaTot b.
ANOV A
b
154.759 1
154.759 42.071
.000
a
286.928 78
3.679 441.688
79 Regres sion
Residual Total
Model 1
Sum of Squares
df Mean S quare
F Sig.
Predic tors: Constant, KetaksaanTot a.
Dependent Variable: KinerjaTot b.
Coefficients
a
4.176 .547
7.641 .000
1.144 .176
.592 6.486
.000 1.000
1.000 Constant
KetaksaanTot Model
1 B
Std. Error Unstandardized
Coefficients Beta
Standardized Coefficients
t Sig.
Tolerance VIF
Collinearity Statistics
Dependent Variable: KinerjaTot a.
Collineari ty Diagnostics
a
1.920 1.000
.04 .04
.080 4.894
.96 .96
Dimension 1
2 Model
1 Eigenvalue
Condit ion Index
Const ant Ketaks aanTot
Variance P roportions
Dependent Variable: KinerjaTot a.
Universitas Sumatera Utara
Charts
Residuals Statistics
a
4.18 9.90
7.44 1.400
80 -5.609
4.824 .000
1.906 80
-2.330 1.758
.000 1.000
80 -2.925
2.515 .000
.994 80
Predicted Value Residual
Std. Predicted Value Std. Residual
Minimum Maximum
Mean Std. Deviation
N
Dependent Variable: KinerjaTot a.
Universitas Sumatera Utara
Regression Standardized Residual
3 2
1 -1
-2 -3
Frequency
20 15
10 5
Histogram Dependent Variable: KinerjaTot
Mean =3.82E-17 Std. Dev. =0.994
N =80
Observed Cum Prob
1.0 0.8
0.6 0.4
0.2 0.0
Expect ed
Cum P
rob
1.0 0.8
0.6 0.4
0.2 0.0
Normal P-P Plot of Regression Standardized Residual Dependent Variable: KinerjaTot
Universitas Sumatera Utara
2. Konflik Peran
Regression Standardized Predicted Value
2 1
-1 -2
-3
R egressi
on St
andardi zed
R esi
dual
3 2
1 -1
-2 -3
Scatterplot Dependent Variable: KinerjaTot
Va riables Entere dRe moved
a
Konflik Tot .
St epwise Criteria:
Probabilit y-of-
F-to-enter = .050,
Probabilit y-of-
F-to-remo ve = .
100. Model
1 Variables
Entered Variables
Removed Method
Dependent Variable: K inerjaTot a.
Universitas Sumatera Utara
Model Summary
b
.662
a
.438 .431
1.783 2.213
Model 1
R R Square
Adjusted R Square
Std. Error of the Estimate
Durbin- Watson
Predictors: Constant, Konfli kTot a.
Dependent Vari able: KinerjaTot b.
ANOV A
b
193.670 1
193.670 60.908
.000
a
248.017 78
3.180 441.688
79 Regres sion
Residual Total
Model 1
Sum of Squares
df Mean S quare
F Sig.
Predic tors: Constant, KonflikTot a.
Dependent Variable: KinerjaTot b.
Coefficients
a
5.781 .291
19.851 .000
.789 .101
.662 7.804
.000 1.000
1.000 Constant
KonflikTot Model
1 B
Std. Error Unstandardized
Coefficients Beta
Standardized Coefficients
t Sig.
Tolerance VIF
Collinearity Statistics
Dependent Variable: KinerjaTot a.
Co llin eari ty Diagn ostics
a
1.729 1.000
.14 .14
.271 2.525
.86 .86
Di mension 1
2 Model
1 Ei genvalue
Condit ion Index
Const ant Konflik Tot
Variance P roportions
Dependent Variable: Ki nerjaTot a.
Universitas Sumatera Utara
Charts
Residuals Statistics
a
5.78 9.73
7.44 1.566
80 -4.570
3.641 .000
1.772 80
-1.058 1.461
.000 1.000
80 -2.563
2.042 .000
.994 80
Predicted Value Residual
Std. Predicted Value Std. Residual
Minimum Maximum
Mean Std. Deviation
N
Dependent Variable: KinerjaTot a.
Regression Standardized Residual
3 2
1 -1
-2 -3
Frequency
20 15
10 5
Histogram Dependent Variable: KinerjaTot
Mean =8.76E-17 Std. Dev. =0.994
N =80
Universitas Sumatera Utara
3. Pengembangan Karir
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