LAMPIRAN A : DATA SUBJEK
LAMPIRAN B : DATA MENTAH
LAMPIRAN C : DATA HASIL TRY OUT
LAMPIRAN D : UJI RELIABILITAS
LAMPIRAN E : UJI VALIDITAS
LAMPIRAN F : UJI ASUMSI
LAMPIRAN G : ANALISIS HASIL PENELITIAN
LAMPIRAN A : DATA SUBJEK
SUBJEK USIA MASA
KERJA
TINGKAT PENDIDIKAN
Subjek 1 19 6 SMA
Subjek 2 22 8 SMA
Subjek 3 22 3 SMA
Subjek 4 20 18 SMA
Subjek 5 19 13 SMA
Subjek 6 25 10 SMA
Subjek 7 22 24 SMA
Subjek 8 19 24 SMA
Subjek 9 20 1 SMA
Subjek 10 20 1 SMA
Subjek 11 21 2 SMA
Subjek 12 20 1 SMA
Subjek 13 21 4 SMA
Subjek 14 18 3 SMA
Subjek 15 21 1 SMA
Subjek 16 19 1 SMA
Subjek 17 23 12 SMA
Subjek 18 19 4 SMA
Subjek 19 20 6 SMA
Subjek 21 18 3 SMA
Subjek 22 20 2 SMA
Subjek 23 20 6 SMA
Subjek 24 20 12 SMA
Subjek 25 21 7 SMA
Subjek 26 20 8 SMA
Subjek 27 20 11 SMA
Subjek 28 21 12 SMA
Subjek 29 20 4 SMA
Subjek 30 19 5 SMA
Subjek 31 22 9 SMA
Subjek 32 20 7 SMA
Subjek 33 22 8 SMA
Subjek 34 24 24 SMA
Subjek 35 19 8 SMA
Subjek 36 20 11 SMA
Subjek 37 20 4 SMA
Subjek 38 20 8 SMA
Subjek 39 18 2 SMA
Subjek 40 21 8 SMA
Subjek 41 22 8 SMA
Subjek 42 24 15 SMA
Subjek 43 21 9 SMA
Subjek 45 21 4 SMA
Subjek 46 20 6 SMA
Subjek 47 20 4 SMA
Subjek 48 20 9 SMA
Subjek 49 19 7 SMA
Subjek 50 19 4 SMA
Subjek 51 19 12 SMA
Subjek 52 23 1 S1
Subjek 53 19 4 SMA
Subjek 54 19 7 SMA
Subjek 55 21 4 D3
Subjek 56 18 12 SMA
Subjek 57 22 12 SMA
Subjek 58 19 12 SMA
Subjek 59 19 12 SMA
Subjek 60 21 12 SMA
Subjek 61 21 12 SMA
Subjek 62 21 12 SMA
Subjek 63 19 6 SMA
Subjek 64 19 6 SMA
Subjek 65 21 12 SMA
Subjek 66 23 12 SMA
Subjek 67 21 8 SMA
Subjek 69 20 16 SMA
Subjek 70 20 6 SMA
Subjek 71 20 12 SMA
Subjek 72 22 11 SMA
Subjek 73 21 12 SMA
Subjek 74 22 12 SMA
Subjek 75 21 12 SMA
Subjek 76 25 24 SMA
Subjek 77 24 24 SMA
Subjek 78 23 12 SMA
Subjek 79 23 12 SMA
Subjek 80 20 6 SMA
Subjek 81 19 5 SMA
Subjek 82 23 3 SMA
Subjek 83 20 12 SMA
Subjek 84 21 12 SMA
Subjek 85 18 2 SMA
Subjek 86 22 8 SMA
Subjek 87 18 3 SMA
Subjek 88 23 3 SMA
Subjek 89 19 8 SMA
Subjek 90 19 12 SMA
Subjek 91 23 12 SMA
Subjek 93 19 8 SMA
Subjek 94 22 3 SMA
Subjek 95 21 4 SMA
Subjek 96 19 6 SMA
Subjek 97 20 12 SMA
Subjek 98 21 24 SMA
Subjek 99 20 12 SMA
Subjek 100 20 15 SMA
Subjek 101 22 2 SMA
Subjek 102 21 3 SMA
Subjek 103 18 4 SMA
Subjek 104 23 6 SMA
Subjek 105 20 12 SMA
Subjek 106 21 1 SMA
Subjek 107 19 24 SMA
Subjek 108 20 16 SMA
Subjek 109 21 12 SMA
Subjek 110 22 4 SMA
Subjek 111 20 11 SMA
Subjek 112 19 9 SMA
Subjek 113 19 12 SMA
Subjek 114 20 12 SMA
Subjek 115 21 12 SMA
Subjek 117 21 6 SMA
Subjek 118 24 12 SMA
Subjek 119 22 7 SMA
Subjek 120 20 12 SMA
Subjek 121 18 9 SMA
Subjek 122 25 5 SMA
Subjek 123 19 1 SMA
Subjek 124 22 12 SMA
Subjek 125 19 1 SMA
Subjek 126 23 11 SMA
Subjek 127 19 7 SMA
Subjek 128 20 12 SMA
Subjek 129 19 12 SMA
Subjek 130 21 1 SMA
Subjek 131 19 8 SMA
Subjek 132 18 4 SMA
Subjek 133 23 4 D3
Subjek 134 19 2 SMA
Subjek 135 23 10 SMA
Subjek 136 19 4 SMA
Subjek 137 18 7 SMA
Subjek 138 21 12 SMA
Subjek 139 21 11 SMA
Subjek 141 19 7 SMA
Subjek 142 19 3 SMA
Subjek 143 21 12 D3
Subjek 144 22 16 SMA
Subjek 145 20 12 SMA
Subjek 146 19 2 SMA
Subjek 147 18 1 SMA
Subjek 148 20 1 SMA
Subjek 149 19 12 SMA
Subjek 150 20 1 SMA
Subjek 151 21 3 SMA
Subjek 152 21 12 SMA
Subjek 153 20 7 D1
Subjek 154 22 12 SMA
Subjek 155 26 5 S1
Subjek 156 23 12 SMA
Subjek 157 21 12 SMA
Subjek 158 20 12 SMA
Subjek 159 19 8 SMA
Subjek 160 21 2 SMA
Subjek 161 25 1 S1
Subjek 162 18 12 SMA
Subjek 163 27 6 S1
Subjek 165 22 12 SMA
Subjek 166 23 12 SMA
Subjek 167 21 1 SMA
Subjek 168 18 1 SMA
Subjek 169 19 6 SMA
Subjek 170 22 16 SMA
Subjek 171 19 8 SMA
Subjek 172 22 6 SMA
Subjek 173 22 6 D3
Subjek 174 20 12 SMA
Subjek 175 20 1 SMA
Subjek 176 20 6 SMA
Subjek 177 21 5 SMA
Subjek 178 22 3 SMA
Subjek 179 22 3 SMA
Subjek 180 20 1 SMA
Subjek 181 23 4 SMA
Subjek 182 21 3 SMA
Subjek 183 24 5 D3
Subjek 184 23 24 SMA
Subjek 185 20 4 SMA
Subjek 186 19 7 SMA
Subjek 187 19 3 SMA
Subjek 189 19 2 SMA
Subjek 190 20 2 SMA
Subjek 191 18 4 SMA
Subjek 192 26 2 S1
Subjek 193 21 4 SMA
Subjek 194 20 4 SMA
Subjek 195 21 1 SMA
Subjek 196 19 14 SMA
Subjek 197 20 2 SMA
Subjek 198 20 12 SMA
Subjek 199 22 1 SMA
Subjek 200 18 1 SMA
Subjek 201 19 2 SMA
Subjek 202 22 5 SMA
Subjek 203 19 1 SMA
Subjek 204 19 12 SMA
Subjek 205 21 10 SMA
Subjek 206 22 6 SMA
Subjek 207 22 16 SMA
Subjek 208 22 4 SMA
Subjek 209 22 11 SMA
Subjek 210 21 12 SMA
Subjek 211 23 12 SMA
Subjek 213 22 7 SMA
Subjek 214 19 13 SMA
Subjek 215 25 2 SMA
Subjek 216 23 8 SMA
Subjek 217 21 24 SMA
Subjek 218 23 12 SMA
LAMPIRAN B : DATA MENTAH
Intensi Turn Over
Subjek
Manajemen Konflik
Subjek
Job Insecurity
Subjek
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30
LAMPIRAN C : DATA SETELAH UJI COBA
Intensi Turn Over
Subjek
Manajemen Konflik
Job Insecurity
Subjek
LAMPIRAN D : UJI RELIABILITAS
a. Listwise deletion based on all variables in the procedure.
VAR00006 25.8813 40.720 .566 .859
VAR00007 25.7534 39.049 .656 .853
VAR00008 25.5479 39.487 .581 .858
VAR00009 25.8721 39.653 .642 .855
VAR00010 25.3790 40.053 .561 .859
VAR00011 25.1233 38.237 .635 .854
VAR00012 25.9269 40.664 .579 .859
Scale Statistics
Mean Variance
Std.
Deviation N of Items 27.8676 47.125 6.86473 12
b. Uji Reliabilitas Skala Manajemen Konflik
Analisis 1
Case Processing Summary
N %
Cases Valid 219 100.0
Excludeda 0 .0
Total 219 100.0
VAR00015 68.9954 42.931 .328 .690
VAR00016 68.9635 42.567 .344 .688
VAR00017 68.2877 44.628 .218 .700
VAR00018 67.7123 44.986 .258 .697
VAR00019 68.5708 41.347 .486 .675
VAR00020 68.3105 42.876 .412 .684
Scale Statistics
Mean Variance
Std.
Deviation N of Items
71.9361 47.785 6.91266 20
Analisis 2
Case Processing Summary
N %
Cases Valid 219 100.0
Excludeda 0 .0
Total 219 100.0
a. Listwise deletion based on all variables in the procedure. Reliability Statistics
VAR00015 59.6849 36.740 .291 .732
VAR00016 59.6530 36.585 .291 .732
VAR00017 58.9772 37.931 .216 .738
VAR00018 58.4018 38.021 .287 .732
VAR00019 59.2603 35.010 .475 .714
VAR00020 59.0000 36.248 .419 .721
Scale Statistics
Mean Variance
Std.
c. Uji Reliabilitas Skala Job Insecurity
a. Listwise deletion based on all variables in the procedure.
VAR00006 77.4612 63.204 .342 .672
VAR00007 75.8721 67.222 -.002 .699
VAR00008 76.7991 62.170 .417 .667
VAR00009 76.7078 62.355 .433 .666
VAR00010 76.5936 62.756 .334 .672
VAR00011 75.8356 65.606 .084 .693
VAR00012 76.0274 66.403 .063 .693
VAR00013 75.8813 66.509 .060 .692
VAR00014 76.5068 63.370 .258 .677
VAR00015 76.7945 62.925 .306 .674
VAR00016 76.8311 61.444 .458 .663
VAR00017 76.5479 64.818 .242 .679
VAR00018 76.5890 62.748 .343 .671
VAR00019 75.9863 63.775 .214 .681
VAR00020 76.2146 65.784 .102 .690
VAR00021 77.0457 64.016 .286 .676
VAR00022 76.8493 61.688 .485 .663
VAR00023 76.8813 62.243 .398 .668
VAR00024 76.9224 62.265 .397 .668
VAR00025 76.9909 62.477 .392 .668
VAR00026 75.4018 72.829 -.366 .722
VAR00028 76.2374 72.301 -.341 .719
VAR00029 76.5890 64.573 .247 .679
VAR00030 76.8995 63.201 .239 .679
Scale Statistics
Mean Variance
Std.
Deviation N of Items 79.1553 68.132 8.25420 30
Analisis 2
Case Processing Summary
N %
Cases Valid 219 100.0
Excludeda 0 .0
Total 219 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's
Alpha N of Items
VAR00029 46.8265 70.153 .271 .838
VAR00030 47.1370 67.376 .341 .836
Scale Statistics
Mean Variance
Std.
LAMPIRAN E : UJI VALIDITAS
a. Analisis Faktor Skala Intensi Turnover
Aspek 1
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling
Adequacy. .697
Bartlett's Test of Sphericity
Approx. Chi-Square 69.006
df 3
Sig. .000
Anti-image Matrices
I1 I2 I3
Anti-image Covariance
I1 .443 -.251 -.095
I2 -.251 .394 -.182
I3 -.095 -.182 .595
Anti-image Correlation
I1 .683a -.600 -.185
I2 -.600 .649a -.376
I3 -.185 -.376 .797a
a. Measures of Sampling Adequacy(MSA)
Extraction Method: Principal Component Analysis.
a. 1 components extracted.
Aspek 2
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling
Adequacy. .655
Bartlett's Test of Sphericity
Approx. Chi-Square 38.429
df 3
Sig. .000
Anti-image Matrices
I1 I3 I11
Anti-image Covariance
I1 .674 -.088 -.283
I3 -.088 .708 -.260
I11 -.283 -.260 .571
Anti-image Correlation
I1 .675a -.127 -.456
I3 -.127 .700a -.409
I11 .867 Extraction Method: Principal Component Analysis.
Aspek 3
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling
Adequacy. .651
Bartlett's Test of Sphericity
Approx. Chi-Square 29.700
df 3
Sig. .000
Anti-image Matrices
I2 I6 I10
Anti-image Covariance
I2 .711 -.123 -.294
I6 -.123 .783 -.231
I10 -.294 -.231 .655
Anti-image Correlation
I2 .650a -.165 -.431
I6 -.165 .711a -.322
I10 -.431 -.322 .616a a. Measures of Sampling Adequacy(MSA)
Communalities
Initial Extraction
Component Matrixa Component
1
I2 .793
I6 .741
I10 .839
Extraction Method: Principal Component Analysis.
a. 1 components extracted. Aspek 4
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling
Adequacy. .678
Bartlett's Test of Sphericity
Approx. Chi-Square 52.636
df 3
Sig. .000
Anti-image Matrices
I5 I8 I12
Anti-image Covariance
I5 .478 -.229 -.272
I8 -.229 .645 -.090
Component 1
I5 .890
I8 .802
I12 .840
Extraction Method: Principal Component Analysis.
Communalities
Initial Extraction
MK1 1.000 .513
MK4 1.000 .551
MK5 1.000 .411
MK6 1.000 .603
MK9 1.000 .619
MK10 1.000 .301
MK18 1.000 .296
MK19 1.000 .533
Extraction Method: Principal Component Analysis.
Component Matrixa Component
1 2
MK1 .624 -.352
MK4 .326 .667
MK5 .544 -.338
MK6 .332 .702
MK9 .746 -.249
MK18 .516 -.173
MK19 .486 .545
Extraction Method: Principal Component Analysis.
a. 2 components extracted.
Rotated Component Matrixa Component
1 2
MK1 .715 -.039
MK4 -.003 .743
MK5 .638 -.063
MK6 -.013 .776
MK9 .780 .107
MK10 .518 .181
MK18 .539 .073
MK19 .194 .704
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Component Transformation Matrix
Component 1 2
1 .897 .443
2 -.443 .897
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Aspek 2
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling
Adequacy. .570
Bartlett's Test of Sphericity
Approx. Chi-Square 240.194
df 28
Sig. .000
Anti-image Matrices
MK3 MK8 MK13 MK14 MK15 MK16 MK17 MK20 Anti-image
Covariance
a. Measures of Sampling Adequacy(MSA)
Communalities
Initial Extraction
MK3 1.000 .718
MK8 1.000 .523
MK13 1.000 .629
MK14 1.000 .661
MK15 1.000 .663
MK16 1.000 .536
MK17 1.000 .736
MK20 1.000 .314
MK15 .712 .394 .040
MK16 .501 .480 .233
MK17 -.312 .473 .644
MK20 .171 .527 -.085
Extraction Method: Principal Component Analysis. a. 3 components extracted.
Rotated Component Matrixa Component
1 2 3
MK3 .093 -.100 .836
MK8 .694 -.200 -.033
MK13 -.157 .712 .312
MK14 -.121 .370 .714
MK15 .807 -.108 .012
MK16 .711 .174 -.009
MK17 .102 .849 -.066
MK20 .418 .142 .345
Extraction Method: Principal Component Analysis.
Rotated Component Matrixa Component
1 2 3
MK3 .093 -.100 .836
MK8 .694 -.200 -.033
MK13 -.157 .712 .312
MK14 -.121 .370 .714
MK15 .807 -.108 .012
MK16 .711 .174 -.009
MK17 .102 .849 -.066
MK20 .418 .142 .345
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 4 iterations.
Component Transformation Matrix
Compon
ent 1 2 3
1 .820 -.490 -.295
2 .551 .540 .636
Rotated Component Matrixa Component
1 2 3
MK3 .093 -.100 .836
MK8 .694 -.200 -.033
MK13 -.157 .712 .312
MK14 -.121 .370 .714
MK15 .807 -.108 .012
MK16 .711 .174 -.009
MK17 .102 .849 -.066
MK20 .418 .142 .345
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Extraction Method: Principal Component Analysis.
JI9 -.359 .089 .750a -.066 -.156 -.049 .024 -.175 JI10 -.007 -.090 -.066 .734a -.108 -.285 -.128 .104 JI14 -.117 -.418 -.156 -.108 .685a .085 -.100 -.022 JI23 .029 -.276 -.049 -.285 .085 .673a -.198 .018 JI25 -.205 .117 .024 -.128 -.100 -.198 .653a -.634 JI24 -.018 -.015 -.175 .104 -.022 .018 -.634 .655a a. Measures of Sampling
Adequacy(MSA)
Communalities
Initial Extraction
JI1 1.000 .515
JI4 1.000 .639
JI9 1.000 .475
JI10 1.000 .444
JI14 1.000 .445
JI23 1.000 .462
JI25 1.000 .679
JI24 1.000 .652
Extraction Method: Principal Component Analysis.
JI23 .496 .464
JI25 .771 -.290
JI24 .706 -.392
Extraction Method: Principal Component Analysis.
a. 2 components extracted.
Rotated Component Matrixa Component
1 2
JI1 .713 .085
JI4 -.136 .788
JI9 .680 .113
JI10 .128 .654
JI14 .291 .600
JI23 .161 .660
JI25 .804 .179
JI24 .805 .058
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Component Transformation Matrix
Component 1 2
1 .837 .548
2 -.548 .837
Extraction Method: Principal Component Analysis.
Component Matrixa Component
1 2
JI2 .828 .055
JI8 .731 .244
JI15 .560 -.473
JI19 .184 .881
JI27 .764 -.159
Extraction Method: Principal Component Analysis.
a. 2 components extracted.
Rotated Component Matrixa Component
1 2
JI2 .819 .136
JI8 .703 .315
JI15 .604 -.415
JI19 .096 .895
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 3 iterations. Component Transformation
Matrix
Component 1 2
1 .995 .099
2 -.099 .995
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Aspek 3
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling
Adequacy. .695
Bartlett's Test of Sphericity
Approx. Chi-Square 259.700
df 28
Sig. .000
JI6 JI16 JI17 JI18 JI21 JI22 JI29 JI30 Anti-image
Covariance
JI6 .828 -.109 -.072 .040 -.020 -.011 -.057 -.212 JI16 -.109 .674 -.253 .070 -.164 -.027 -.167 -.034 JI17 -.072 -.253 .758 .037 .038 -.051 -.139 -.004 JI18 .040 .070 .037 .829 -.074 -.202 -.066 -.137 JI21 -.020 -.164 .038 -.074 .754 -.186 .040 -.129 JI22 -.011 -.027 -.051 -.202 -.186 .735 -.022 -.136 JI29 -.057 -.167 -.139 -.066 .040 -.022 .843 .125 JI30 -.212 -.034 -.004 -.137 -.129 -.136 .125 .730 Anti-image
Correlation
JI6 .728a -.145 -.091 .049 -.025 -.014 -.068 -.272 JI16 -.145 .666a -.354 .094 -.230 -.038 -.221 -.049 JI17 -.091 -.354 .680a .046 .050 -.069 -.174 -.005 JI18 .049 .094 .046 .666a -.094 -.258 -.078 -.176 JI21 -.025 -.230 .050 -.094 .731a -.250 .050 -.174 JI22 -.014 -.038 -.069 -.258 -.250 .733a -.028 -.186 JI29 -.068 -.221 -.174 -.078 .050 -.028 .638a .159 JI30 -.272 -.049 -.005 -.176 -.174 -.186 .159 .695a a. Measures of Sampling
Adequacy(MSA)
7 .542 6.774 94.016 8 .479 5.984 100.000 Extraction Method: Principal
Component Matrixa Component
1 2
JI6 .542 .146
JI16 .630 .493
JI17 .488 .585
JI18 .400 -.510
JI21 .636 -.271
JI22 .640 -.357
JI29 .304 .586
JI30 .610 -.407
Extraction Method: Principal Component Analysis. a. 2 components extracted.
Rotated Component Matrixa Component
1 2
JI6 .334 .452
JI16 .186 .778
JI17 .019 .762
JI21 .667 .184
JI22 .723 .119
JI29 -.127 .648
JI30 .731 .061
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Component Transformation Matrix
Component 1 2
1 .783 .622
2 -.622 .783
Extraction Method: Principal Component Analysis.
LAMPIRAN F : UJI ASUMSI
1. Uji Normalitas
a. Intensi Turnover
Descriptive Statistics
N Mean
Std.
Deviation Minimum Maximum IntensiTurnover 219 27.8676 6.86473 12.00 56.00 ManajemenKonfl
ik 219 23.1187 4.21928 12.00 35.00
JobInsecurity 219 24.4475 5.26114 11.00 40.00
One-Sample Kolmogorov-Smirnov Test
IntensiTurnover ManajemenKonflik JobInsecurity
N 219 219 219
Normal Parametersa Mean 27.8676 23.1187 24.4475
Std. Deviation 6.86473 4.21928 5.26114
Most Extreme Differences
Absolute .058 .062 .069
Positive .058 .048 .053
Negative -.055 -.062 -.069
Kolmogorov-Smirnov Z .864 .920 1.020
Asymp. Sig. (2-tailed) .444 .366 .249
2. Uji Linieritas
Case Processing Summary
Cases
Included Excluded Total
N Percent N Percent N Percent
IntensiTurnover *
ManajemenKonflik 219 100.0% 0 .0% 219 100.0%
IntensiTurnover *
Report
IntensiTurnover ManajemenKonfl
ik Mean N
Std. Deviation
12 22.0000 3 10.53565
14 23.3333 3 12.05543
15 31.5000 4 4.04145
16 30.0000 4 4.08248
17 29.5714 7 7.43544
18 32.7778 9 4.99444
19 30.0909 11 7.13379
20 28.0769 13 5.82325
21 29.9167 24 4.43226
22 31.2500 16 6.53707
23 25.6500 20 5.33385
24 27.5000 24 5.69515
25 29.7857 14 10.76446
26 25.1053 19 4.31914
27 28.8125 16 9.19579
28 25.4167 12 5.48483
29 24.7778 9 5.86894
IntensiTurnover
JobInsecurity Mean N
Std. Deviation
11 23.0000 1 .
12 18.2500 4 4.34933
13 24.2500 4 1.50000
14 19.0000 1 .
15 16.0000 2 5.65685
16 29.7500 4 2.62996
17 25.3333 3 4.61880
18 22.0000 7 5.06623
19 25.4444 9 4.53076
20 22.8333 6 7.57408
21 24.9375 16 5.67414
22 27.4706 17 4.83629
23 23.9333 15 4.84719
24 29.7143 21 6.71672
25 27.5000 18 5.64905
26 28.7778 18 5.65223
27 32.6154 13 5.65005
28 30.4706 17 5.26922
Measures of Association
R R Squared Eta Eta Squared IntensiTurnover *
JobInsecurity .406 .165 .613 .376
3. Uji Multikolinieritas
Variables Entered/Removedb Model Variables Entered
Variables
Removed Method 1 JobInsecurity,
ManajemenKonflika . Enter
Std. Residual -4.249 3.679 .000 .995 219
Stud. Residual -4.385 3.733 .000 1.006 219
Deleted Residual
-2.80171E 1
23.45352 -.01172 6.29177 219
Stud. Deleted Residual -4.583 3.851 -.001 1.017 219
Mahal. Distance .009 12.292 1.991 2.177 219
Cook's Distance .000 .416 .007 .032 219
Centered Leverage
Value .000 .056 .009 .010 219
5. Uji Autokorelasi
Model Summaryb
Model Durbin-Watson
1 1.837a
a. Predictors: (Constant), JobInsecurity, ManajemenKonflik
LAMPIRAN G : ANALISIS HASIL PENELITIAN
Analisis Regresi Sederhana Variabel Manajemen Konflik
Variables Entered/Removedb Model Variables Entered
Variables
Removed Method
1 ManajemenKonflika . Enter
a. All requested variables entered. b. Dependent Variable: IntensiTurnover
Model Summary
Model R R Square
Adjusted R Square
Std. Error of the Estimate
1 .208a .043 .039 6.72954
a. Predictors: (Constant), ManajemenKonflik
ANOVAb Model
Sum of
Squares df Mean Square F Sig.
1 Regression 445.949 1 445.949 9.847 .002a
Residual 9827.211 217 45.287
Total 10273.160 218
ANOVAb Model
Sum of
Squares df Mean Square F Sig.
1 Regression 445.949 1 445.949 9.847 .002a
Residual 9827.211 217 45.287
Total 10273.160 218
b. Dependent Variable: IntensiTurnover
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t Sig.
B Std. Error Beta
1 (Constant) 35.704 2.538 14.066 .000
ManajemenKonfl
ik -.339 .108 -.208 -3.138 .002
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t Sig.
B Std. Error Beta
1 (Constant) 14.911 2.024 7.368 .000
JobInsecurity .530 .081 .406 6.548 .000
Analisis Regresi Berganda
Descriptive Statistics
Mean
Std.
Deviation N IntensiTurnover 27.8676 6.86473 219 ManajemenKonflik 23.1187 4.21928 219 JobInsecurity 24.4475 5.26114 219
Correlations
IntensiTurnover ManajemenKonflik JobInsecurity Pearson
Correlation
IntensiTurnover 1.000 -.208 .406
ManajemenKonflik -.208 1.000 -.096
JobInsecurity .406 -.096 1.000
Sig. (1-tailed) IntensiTurnover . .001 .000
ManajemenKonflik .001 . .077
JobInsecurity .000 .077 .
N IntensiTurnover 219 219 219
ManajemenKonflik 219 219 219
JobInsecurity 219 219 219
