Pengaruh Stres Kerja Dan Kompensasi Terhadap Turnover Intention Pada Pt Perkebunan Nusantara Iii (Persero)
KUESIONER
PENGARUH STRES KERJA DAN KOMPENSASI TERHADAP
TURNOVER INTENTION PADA PT PERKEBUNAN NUSANTARA III(PERSERO) MEDAN
Kuesioner ini merupakan alat yang digunakan peneliti untuk memperoleh
data dalam penelitian yang berjudul Pengaruh Stres Kerja Dan Kompensasi
Terhadap Turnover Intention Pada PT Perkebunan Nusantara III (Persero) Medan.
Demi kelancaran penelitian ini, peneliti meminta bantuan kepada Saudara/i untuk
bersedia mengisi seluruh bagian dari kuesioner ini.Nama : Umur : Lama Bekerja : Divisi : Dalam pengisian kuesioner ini terdapat skala pengukuran dengan cara
memberikan tanda checklist pada bagian kolom tersedia. Adapun ketentuan huruf
yang terdapat pada table kuesioner memiliki arti sebagai berikut: STS : Sangat Tidak SetujuTS : Tidak Setuju KS : Kurang Setuju S : Setuju SS : Sangat Setuju
1. ) Stres Kerja (X
1 No. Pernyataan STS TS KS S SS
1. Saya merasa tertekan dengan pekerjaan Saya.
2. Kesehatan Saya sering terganggu dalam menyelesaikan pekerjaan yang mengandung stres kerja yang tinggi.
3. Emosi Saya tidak stabil karena tekanan kerja yang terlalu tinggi.
4. Saya merasa bosan dengan pekerjaan Saya.
2. Kompensasi (X 2 )
No. Pernyataan STS TS KS S SS
1. Saya menerima gaji yang cukup.
2. Saya selalu mendapat insentif apabila mengerjakan tugas lebih dari porsi yang seharusnya.
3. Saya menerima fasilitas kerja yang mendukung pekerjaan Saya.
4. Saya mendapatkan fasilitas kesehatan dari PTPN III (Persero) Medan.
3. Turnover Intention (Y)
No. Pernyataan STS TS KS S SS
Saya tetap mencari pekerjaan 1. lebih baik.Saya tetap mencari pekerjaan 2. dengan gaji lebih tinggi. Saya tetap mencari pekerjaan 3. dengan fasilitas lebih baik.
Saya tetap mencari jabatan 4. lebih tinggi di perusahaan lebih baik.
Terimakasih.
LAMPIRAN II OUITPUT SPSS VERSI 16.00 UJI VALIDITAS DATA
RELIABILITY /VARIABLES=x1p1 x1p2 x1p3 x1p4 x2p1 x2p2 x2p3 x2p4 yp1 yp2 yp3 yp4 /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA /STATISTICS=DESCRIPTIVE SCALE /SUMMARY=TOTAL.
Reliability Notes
Output Created 24-Feb-2015 18:11:35
Comments Input Active Dataset DataSet0
Filter <none> Weight <none> Split File <none> N of Rows in Working Data
30 File 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=x1p1 x1p2 x1p3 x1p4 x2p1 x2p2 x2p3 x2p4 yp1 yp2 yp3 yp4 /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA /STATISTICS=DESCRIPTIVE SCALE /SUMMARY=TOTAL.
Resources Processor Time 00:00:00.032 Elapsed Time 00:00:00.015
[DataSet0]
Scale: ALL VARIABLES Case Processing Summary
N % Cases Valid 30 100.0
a
Excluded .0 Total 30 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's Alpha N of Items
.921
12 Item Statistics
Mean Std. Deviation N x1p1 2.7333 .82768 30 x1p2 2.6000 .93218 30 x1p3 2.6333 .92786 30 x1p4 2.3333 1.09334 30 x2p1 3.2667 .73968 30 x2p2 3.4667 .68145 30 x2p3 3.4667 .73030 30 x2p4 3.5333 .62881 30 yp1 2.5000 1.13715 30 yp2 2.3667 1.06620 30 yp3 2.6333 .96431
30
Item Statistics
Mean Std. Deviation N x1p1 2.7333 .82768 30 x1p2 2.6000 .93218 30 x1p3 2.6333 .92786 30 x1p4 2.3333 1.09334 30 x2p1 3.2667 .73968 30 x2p2 3.4667 .68145 30 x2p3 3.4667 .73030 30 x2p4 3.5333 .62881 30 yp1 2.5000 1.13715 30 yp2 2.3667 1.06620 30 yp3 2.6333 .96431 30 yp4 2.6333 .99943
30 Item-Total Statistics Cronbach's
Scale Mean if Scale Variance if Corrected Item- Alpha if Item Item Deleted Item Deleted Total Correlation Deleted x1p1 31.4333 52.254 .879 .906 x1p2 31.5667 51.909 .795 .908 x1p3 31.5333 51.982 .793 .909 x1p4 31.8333 50.282 .772 .909 x2p1 30.9000 57.817 .452 .922 x2p2 30.7000 58.907 .390 .924 x2p3 30.7000 58.700 .377 .924 x2p4 30.6333 58.930 .428 .922 yp1 31.6667 50.092 .750 .911 yp2 31.8000 51.407 .714 .912 yp3 31.5333 51.154 .824 .907 yp4 31.5333 51.016 .801 .908
Scale Statistics
Mean Variance Std. Deviation N of Items 34.1667 63.454 7.96580
12 LAMPIRAN III
DISTRIBUSI JAWABAN RESPONDEN UJI VALIDITAS DATA
2.0
3.0
2.0
3.0
3.0 3.0 3.0 3.0 3.0 15 2.03.0
3.0
2.0
3.0
3.0
3.0
3.0 3.0 3.0 3.0 3.0 14 3.03.0
3.0
3.0
3.0
2.0
4.0
3.0 1.0 2.0 1.0 1.0 13 3.03.0
3.0
1.0
1.0
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4.0
4.0 4.0 4.0 4.0 4.0 12 2.04.0
4.0
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2.0
2.0
3.0
2.0
3.0
3.0 3.0 3.0 3.0 3.04.0
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3.0
3.0
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3.0 2.0 2.0 3.0 2.0 19 3.04.0
3.0
1.0
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3.0 2.0 1.0 2.0 2.0 18 3.03.0
2.0
2.0
2.0
2.0
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4.0
4.0 4.0 4.0 4.0 4.0 17 2.04.0
4.0
4.0
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3.0
3.0 1.0 2.0 3.0 3.0 16 4.0
3.0
4.0 3.0 2.0 3.0 2.0 11 4.03.0
2.0
4.0
2.0
2.0
3.0
5.0
5.0 5.0 5.0 5.0 5.0 5 2.05.0
5.0
5.0
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4.0
4.0 4.0 4.0 4.0 4.0 4 5.04.0
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4.0 1.0 1.0 2.0 2.0 3 4.04.0
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4.0 1.0 1.0 2.0 2.0 2 3.04.0
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No. x1p1 x1p2 x1p3 x1p4 x2p1 x2p2 x2p3 x2p4 yp1 yp2 yp3 yp4 1 2.0
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6
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6
1
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5
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9
2
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1
1
1
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30
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17
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1
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3.0
2.0
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4.0 1.0 2.0 2.0 2.0 25 3.03.0
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3.0 3.0 2.0 2.0 3.0 24 2.03.0
3.0
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4.0 3.0 2.0 3.0 3.0 23 2.04.0
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4.0
3.0 3.0 2.0 3.0 3.0 22 2.04.0
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4.0 3.0 1.0 3.0 3.0 21 3.04.0
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X2 YP1 YP2 YP3 YP4 TOTAL Y
4.0
3.0
3.0 2.0 3.0 2.0 2.0 NO. X1P1 X1P2 X1P3 X1P4 TOTAL X1 X2P1 X2P2 X2P3 X2P4 TOTAL3.0
3.0
2.0
2.0
2.0
2.0
3.0 4.0 4.0 4.0 4.0 30 2.02.0
2.0
4.0
4.0
4.0
5.0
3.0 3.0 3.0 1.0 3.0 29 4.03.0
1.0
3.0
3.0
4.0 1.0 2.0 2.0 1.0 27 2.0
3.0
3.0 2.0 2.0 2.0 2.0 26 2.01.0
3.0
2.0
4.0
4.0
1.0
1.0
2.0
1.0
3.0
4.0
4.0
3.0 3.0 3.0 2.0 2.0 28 3.03.0
3
9
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31
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61
2
2
60
2
1
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8
59
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2
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6
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63
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3
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62
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8
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64
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1
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55
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2
7
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3
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1
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56
3
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9
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1
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1
9
57
8
3
3
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3
2
1
2
8
4
4
4
17
8
3
2
1
2
8
72
1
1
71
1
1
2
2
2
2
3
9
70
1
2
1
3
6
5
5
5
5
20
2
2
2
5
3
8
2
2
8
74
2
2
2
2
4
2
4
3
5
16
1
2
3
3
2
16
5
5
4
5
5
19
2
1
1
1
73
4
1
2
2
3
8
4
4
4
13
3
2
1
5
20
1
1
2
1
5
66
2
5
2
2
7
5
5
5
4
19
5
5
1
2
2
1
8
5
4
5
4
18
3
5
2
1
8
65
2
1
1
1
2
2
3
2
8
4
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5
19
2
2
1
3
7
69
2
2
3
2
9
4
2
2
1
5
6
67
2
3
3
3
11
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3
1
4
16
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3
10
68
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53
2
3
38
2
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3
3
12
3
4
4
1
14
2
2
3
3
10
39
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5
1
1
2
17
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3
3
1
9
37
1
1
1
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6
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18
2
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1
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1
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3
3
11
41
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1
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2
1
1
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8
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40
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2
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10
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33
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9
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3
5
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1
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1
6
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1
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2
8
32
2
1
3
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2
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1
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7
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1
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5
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1
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1
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2
49
1
1
1
1
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2
7
48
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3
2
2
8
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1
1
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2
8
52
1
1
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3
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2
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4
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2
3
2
2
2
16
4
10
4
3
4
15
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51
3
2
1
2
2
7
4
5
4
16
4
1
44
4
5
17
3
2
1
2
8
1
4
1
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1
5
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1
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6
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1
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1
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43
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1
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1
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47
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1
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2
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8
46
9
75
8
2
4
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3
11
3
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5
5
17
2
2
3
1
87
9
5
7
2
2
2
1
16
4
2
2
5
6
1
1
2
86
1
3
3
2
7
84
3
2
2
2
9
4
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3
1
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1
85
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2
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8
8 LAMPIRAN IV
91
Filter <none> Weight <none> Split File <none> N of Rows in Working Data File
Comments Input Active Dataset DataSet0
Output Created 26-Feb-2015 18:52:22
Regression Notes
REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT turover_intention /METHOD=ENTER stres_kerja kompensasi /RESIDUALS HIST(ZRESID) NORM(ZRESID).
2
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OUTPUT SPSS
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used. Syntax
REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT turover_intention /METHOD=ENTER stres_kerja kompensasi /RESIDUALS HIST(ZRESID) NORM(ZRESID).
Resources Processor Time 00:00:00.764 Elapsed Time 00:00:00.718 Memory Required 1636 bytes Additional Memory Required 648 bytes for Residual Plots
[DataSet0]
b Variables Entered/Removed
Variables Variables Model Entered Removed Method 1 kompensasi,
. Enter
a
stres_kerja a. All requested variables entered.
b. Dependent Variable: turover_intention
b Model Summary
Adjusted R Std. Error of the Model R R Square Square Estimate a
1 .759 .576 .567 1.10108
a. Predictors: (Constant), kompensasi, stres_kerja
b. Dependent Variable: turover_intention
b ANOVA Model Sum of Squares df Mean Square F Sig. a
1 Regression 145.069 2 72.535 59.828 .000 Residual 106.689 88 1.212 Total 251.758
90
a. Predictors: (Constant), kompensasi, stres_kerja
b. Dependent Variable: turover_intention
a
Coefficients
Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta t Sig.
1 (Constant) 13.008 1.593 8.165 .000 stres_kerja .357 .068 .403 5.210 .000 kompensasi -.481 .076 -.490 -6.334 .000
a. Dependent Variable: turover_intention
a Residuals Statistics
Minimum Maximum Mean Std. Deviation N Predicted Value 4.8174 11.5186 7.6813 1.26960
91 Residual -3.91972 2.50728 .00000 1.08878
91 Std. Predicted Value -2.256 3.022 .000 1.000
91 Std. Residual -3.560 2.277 .000 .989
91
a. Dependent Variable: turover_intention
Charts
REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT turover_intention /METHOD=ENTER stres_kerja kompensasi /SCATTERPLOT=(*ZPRED ,*SRESID) /RESIDUALS HIST(ZRESID) NORM(ZRESID).
Regression Notes
Output Created 26-Feb-2015 18:52:49
Comments Input Active Dataset DataSet0
Filter <none>
Weight <none> Split File <none> N of Rows in Working Data
91 File Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used. Syntax
REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT turover_intention /METHOD=ENTER stres_kerja kompensasi /SCATTERPLOT=(*ZPRED ,*SRESID) /RESIDUALS HIST(ZRESID) NORM(ZRESID).
Resources Processor Time 00:00:02.153 Elapsed Time 00:00:01.326 Memory Required 1636 bytes Additional Memory Required 904 bytes for Residual Plots
[DataSet0]
b Variables Entered/Removed
Variables Variables Model Entered Removed Method 1 kompensasi,
. Enter
a
stres_kerja a. All requested variables entered.
b. Dependent Variable: turover_intention
b Model Summary
Adjusted R Std. Error of the Model R R Square Square Estimate
a
1 .759 .576 .567 1.10108
a. Predictors: (Constant), kompensasi, stres_kerja
b. Dependent Variable: turover_intention
b ANOVA Model Sum of Squares df Mean Square F Sig. a
1 Regression 145.069 2 72.535 59.828 .000 Residual 106.689 88 1.212 Total 251.758
90
a. Predictors: (Constant), kompensasi, stres_kerja
b. Dependent Variable: turover_intention
a
Coefficients
Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta t Sig.
1 (Constant) 13.008 1.593 8.165 .000 stres_kerja .357 .068 .403 5.210 .000 kompensasi -.481 .076 -.490 -6.334 .000
a. Dependent Variable: turover_intention
a Residuals Statistics
Minimum Maximum Mean Std. Deviation N Predicted Value 4.8174 11.5186 7.6813 1.26960
91 Std. Predicted Value -2.256 3.022 .000 1.000
91 Standard Error of Predicted Value
.117 .372 .191 .061
91 Adjusted Predicted Value 4.8040 11.4564 7.6882 1.27021
91 Residual -3.91972 2.50728 .00000 1.08878
91 Std. Residual -3.560 2.277 .000 .989
91 Stud. Residual -3.644 2.302 -.003 1.005
91 Deleted Residual -4.10707 2.59645 -.00687 1.12486
91 Stud. Deleted Residual -3.932 2.362 -.006 1.024
91 Mahal. Distance .034 9.301 1.978 1.954
91 Cook's Distance .000 .212 .011 .026
91 Centered Leverage Value .000 .103 .022 .022
91
a. Dependent Variable: turover_intention
Charts
REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT turover_intention /METHOD=ENTER stres_kerja kompensasi /SCATTERPLOT=(*ZPRED ,*SRESID) /RESIDUALS HIST(ZRESID) NORM(ZRESID) /SAVE RESID.
Regression
Notes
Output Created 26-Feb-2015 18:53:51
Comments Input Active Dataset DataSet0
Filter <none> Weight <none> Split File <none> N of Rows in Working Data
91 File Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used. Syntax
REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT turover_intention /METHOD=ENTER stres_kerja kompensasi /SCATTERPLOT=(*ZPRED ,*SRESID) /RESIDUALS HIST(ZRESID) NORM(ZRESID) /SAVE RESID.
Resources Processor Time 00:00:01.076 Elapsed Time 00:00:01.014 Memory Required 1636 bytes Additional Memory Required 904 bytes for Residual Plots
Variables Created or RES_1 Unstandardized Residual
Modified
[DataSet0]
b Variables Entered/Removed
Variables Variables Model Entered Removed Method 1 kompensasi,
. Enter
a
stres_kerja a. All requested variables entered.
b. Dependent Variable: turover_intention
b Model Summary
Adjusted R Std. Error of the Model R R Square Square Estimate
a
1 .759 .576 .567 1.10108
a. Predictors: (Constant), kompensasi, stres_kerja
b. Dependent Variable: turover_intention
b ANOVA Model Sum of Squares df Mean Square F Sig. a
1 Regression 145.069 2 72.535 59.828 .000 Residual 106.689 88 1.212 Total 251.758
90
a. Predictors: (Constant), kompensasi, stres_kerja
b. Dependent Variable: turover_intention