LAMPIRAN 1: KUESIONER PENELITIAN ”PENGARUH RELIANCE ON MULTIPLE PERFORMANCE MEASURES TERHADAP KINERJA MANAJER DENGAN GOAL DIFFICULTY, GOAL SPECIFICITY DAN GOAL ACCEPTANCE SEBAGAI VARIABEL MODERASI”

  

LAMPIRAN 1: KUESIONER PENELITIAN

”PENGARUH RELIANCE ON MULTIPLE PERFORMANCE

MEASURES TERHADAP KINERJA MANAJER DENGAN GOAL

DIFFICULTY, GOAL SPECIFICITY DAN GOAL ACCEPTANCE

  

SEBAGAI VARIABEL MODERASI

” Nama Perusahaan : Jenis Kelamin :

  ฀ Laki-laki ฀ Perempuan Umur : ..................tahun Lama bekerja : ..................tahun Pendidikan : ฀ D3 ฀ S1 ฀ S2 Jabatan manajer : ฀ Atas ฀ Menengah ฀ Bawah Petunjuk mengisi kuesioner:

  

1. Bacalah pernyataan pada lembar berikut kemudian jawablah dengan sungguh-

sungguh sesuai dengan keadaan yang sebenarnya.

  

2. Tidak ada jawaban yang dianggap salah, semua jawaban benar jika diisi

dengan jujur dengan keadaan saat ini.

  

KINERJA

Sumber: Sholihin et al. (2010)

Pilihlah salah satu jawaban di bawah ini dengan memberi tanda (

  )untuk: 1 = Sangat Rendah 2 = Rendah 3 = Agak Rendah 4 = Netral 5 = Agak Tinggi

  6 = Tinggi 7 = Sangat Tinggi

NO PERNYATAAN 1 2 3 4 5 6 7

1.

  Kinerja dalam melakukan perencanaan untuk area tanggung jawab saya tinggi.

  2. Kinerja dalam melakukan koordinasi aktivitas area saya tinggi.

  3. Kinerja dalam melakukan evaluasi aktivitas bawahan tinggi.

  4. Kinerja dalam melakukan investigasi di area saya tinggi.

  5. Kinerja dalam melakukan supervisi bawahan tinggi.

  6. Kinerja dalam mendapatkan dan memelihara bawahan yang tepat tinggi.

  Kinerja dalam melakukan negosiasi untuk 7. kepentingan tanggung jawab saya tinggi. Kinerja dalam melakukan representasi 8. kepentingan area saya tinggi.

9. Kinerja keseluruhan saya periode ini bagus tinggi.

RELIANCE ON MULTIPLE PERFORMANCE MEASURES

  

Sumber: Sholihin et al. (2010)

Pilihlah salah satu jawaban di bawah ini dengan memberi tanda ( )untuk: 1 = Sangat Tidak Penting 5 = Agak Penting 2 = Tidak Penting 6 = Penting 3 = Agak Tidak Penting 7 = Sangat Penting 4 = Netral

  

NO PERNYATAAN 1 2 3 4 5 6 7 Penting bagi saya memiliki hubungan baik dengan 1. konsumen (contoh: kepuasan konsumen dan loyalitas konsumen). Penting bagi saya memiliki hubungan baik dengan 2. karyawan (contoh: kepuasan karyawan dan perpindahan karyawan). Kinerja operasional penting bagi saya (contoh: 3. kinerja sehari-hari). Kualitas servis penting bagi saya (contoh: 4. penghargaan kualitas servis). Kerja sama dengan organisasi lain penting bagi 5. saya (contoh: pemasaran bersama, penelitian bersama). Hubungan dengan pihak rekanan penting bagi 6. saya (contoh: bank lain, pihak OJK). Kinerja lingkungan penting bagi saya (contoh: 7. kepatuhan lingkungan). Inovasi jasa penting bagi saya (contoh: 8. pengembangan jasa baru). Kinerja komunitas penting bagi saya (contoh: 9. image publik). Kinerja keuangan penting bagi saya (contoh: laba 10. tahunan, return on asset dan return on sales) Pilihlah salah satu jawaban di bawah ini dengan memberi tanda ( )untuk: 1 = Sangat Tidak Setuju 5 = Agak Setuju 2 = Tidak Setuju 6 = Setuju 3 = Agak Tidak Setuju 7 = Sangat Setuju 4 = Netral

GOAL DIFFICULTY

  

Sumber: Sholihin et al. (2010)

NO PERNYATAAN 1 2 3 4 5 6 7

1. Tujuan kinerja saya sulit untuk dicapai.

  Saya memiliki tujuan kinerja pekerjaan yang 2. sangat sulit. Saya memahami tingkat kesulitan dari tujuan 3. kinerja saya.

GOAL SPECIFICITY

  

Sumber: Sholihin et al. (2010)

NO PERNYATAAN 1 2 3 4 5 6 7

  Atasan saya secara spesifik menjelaskan apa saja 1. tujuan kinerja saya. Saya memiliki tujuan kinerja pekerjaan yang 2. sangat spesifik. Saya memahami level pasti dari tujuan kinerja 3. saya.

GOAL ACCCEPTANCE

  

Sumber: Earley dan Kanfer (1985)

NO PERNYATAAN 1 2 3 4 5 6 7

1. Saya menerima tujuan kinerja saya.

  Saya berkomitmen untuk mencapai tujuan yang 2. diberikan. Saya menerima tugas yang diberikan atasan tanpa 3. paksaan.

  LAMPIRAN 2: GAMBARAN UMUM RESPONDEN ”PENGARUH RELIANCE ON MULTIPLE PERFORMANCE MEASURES TERHADAP KINERJA MANAJER DENGAN GOAL DIFFICULTY, GOAL SPECIFICITY DAN GOAL ACCEPTANCE

  SEBAGAI VARIABEL MODERASI ” GAMBARAN UMUM RESPONDEN JENIS_KELAMIN

  Frequency Percent Valid Percent Cumulative Percent

  L

  26

  65.0

  65.0

  65.0 P

  14

  35.0 35.0 100.0 Valid

  Total 40 100.0 100.0

  UMUR

  Frequency Percent Valid Percent Cumulative Percent

  21-30

  6

  15.0

  15.0

  15.0 31-40

  29

  72.5

  72.5

  87.5 Valid 41-50

  5

  12.5 12.5 100.0 Total 40 100.0 100.0

LAMA_BEKERJA

  Frequency Percent Valid Percent Cumulative Percent

  1-5

  17

  42.5

  42.5

  42.5 6-10

  23

  57.5 57.5 100.0 Valid

  Total 40 100.0 100.0

  PENDIDIKAN

  Frequency Percent Valid Percent Cumulative Percent

  D3

  4

  10.0

  10.0

  10.0 S1

  35

  87.5

  87.5

  97.5 Valid S2

  1

  2.5 2.5 100.0 Total 40 100.0 100.0

  

JABATAN

  Frequency Percent Valid Percent Cumulative Percent

  Valid MENENGAH 40 100.0 100.0 100.0

STATISTIK DESKRIPTIF

  5.00 7.00 6.5600 .51030 GD1

  7 4.28 1.240 GD

  2

  40

  7 4.38 1.148 GD3

  2

  40

  7 4.35 1.252 GD2

  2

  40

  40

  2.00 7.00 4.3340 1.16507 GS1

  7 6.68 .616 RMPM

  5

  40

  7 6.55 .714 RMPM10

  4

  40

  7 6.28 .847 RMP9

  4

  40

  40

  40

  4

  3 1.93 .764 GA2

  40

  1.00 3.67 2.0837 .76553 Valid N (listwise)

  40

  4 2.25 .840 GA

  1

  40

  4 2.07 .888 GA3

  1

  40

  1

  2

  40

  2.00 7.00 3.1330 1.21914 GA1

  40

  7 3.13 1.223 GS

  2

  40

  7 3.10 1.236 GS3

  2

  40

  7 3.18 1.238 GS2

  7 6.60 .672 RMPM8

  

Descriptive Statistics

  N Minimum Maximum Mean Std. Deviation KM1

  7 6.15 .975 KM5

  7 6.30 .853 KM8

  4

  40

  7 6.37 .774 KM7

  4

  40

  7 6.25 .899 KM6

  4

  40

  4

  4

  40

  7 6.28 .784 KM4

  4

  40

  7 6.37 .740 KM3

  4

  40

  7 6.30 .758 KM2

  4

  40

  40

  7 6.35 .770 KM9

  7 6.50 .716 RMPM7

  5

  4

  40

  7 6.50 .816 RMPM6

  3

  40

  7 6.70 .516 RMPM5

  5

  40

  7 6.70 .516 RMPM4

  40

  40

  7 6.58 .594 RMPM3

  5

  40

  7 6.53 .679 RMPM2

  4

  40

  4.00 7.00 6.2885 .69452 RMPM1

  40

  7 6.23 .733 KM

  4

  40

COMPARE MEAN

  23 Std. Deviation .48462 .36149 1.28345 1.50331 .71385 Total

  PENDIDIKAN KM RMPM GD GS GA D3 Mean 6.4725 6.5500 4.0000 3.0000 2.4175 N

  

KM RMPM GD GS GA * PENDIDIKAN

  40 Std. Deviation .69452 .51030 1.16507 1.21914 .76553

  40

  40

  40

  40

  Mean 6.2885 6.5600 4.3340 3.1330 2.0837 N

  23

  4

  23

  23

  23

  Mean 6.3865 6.6391 4.4065 3.2748 2.1017 N

  17 Std. Deviation .90571 .65871 1.01286 .66891 .85245 6-10

  17

  17

  17

  17

  4

  4

  LAMA_BEKERJA KM RMPM GD GS GA 1-5

  1

  40 Std. Deviation .69452 .51030 1.16507 1.21914 .76553

  40

  40

  40

  40

  Mean 6.2885 6.5600 4.3340 3.1330 2.0837 N

  1 Std. Deviation . . . . . Total

  1

  1

  4

  1

  Mean 7.0000 7.0000 5.6700 3.0000 2.0000 N

  35 Std. Deviation .71149 .51813 1.18581 1.28183 .79717 S2

  35

  35

  35

  35

  Mean 6.2471 6.5486 4.3340 3.1520 2.0480 N

  4 Std. Deviation .54744 .52599 .98282 .81650 .50056 S1

  Mean 6.1559 6.4529 4.2359 2.9412 2.0594 N

  

KM RMPM GD GS GA * JENIS_KELAMIN

  JENIS_KELAMIN KM RMPM GD GS GA L

  14

  

KM RMPM GD GS GA * UMUR

  40 Std. Deviation .69452 .51030 1.16507 1.21914 .76553

  40

  40

  40

  40

  Mean 6.2885 6.5600 4.3340 3.1330 2.0837 N

  14 Std. Deviation .65123 .32276 1.07697 .62510 .72523 Total

  14

  Mean 6.3517 6.7500 4.4450 2.6117 1.7217 N

  14

  14

  Mean 6.2057 6.7429 4.1914 2.6193 1.8093 N

  26 Std. Deviation .72528 .56856 1.22347 1.37408 .75882 P

  26

  26

  26

  26

  Mean 6.3331 6.4615 4.4108 3.4096 2.2315 N

  UMUR KM RMPM GD GS GA 21-30

  6

  40 Std. Deviation .69452 .51030 1.16507 1.21914 .76553

  5

  40

  40

  40

  40

  Mean 6.2885 6.5600 4.3340 3.1330 2.0837 N

  5 Std. Deviation 1.15541 .74027 .75910 1.69020 .60636 Total

  5

  5

  5

  Mean 5.7540 6.1400 4.9340 4.0660 2.8020 N

  6

  29 Std. Deviation .60728 .48545 1.25552 1.15372 .74179 41-50

  29

  29

  29

  29

  Mean 6.3676 6.5931 4.2076 3.0800 2.0348 N

  6 Std. Deviation .54992 .21679 .91198 .80051 .71301 31-40

  6

  6

  

KM RMPM GD GS GA * LAMA_BEKERJA

  

LAMPIRAN 3: UJI ALAT PENGUMPULAN DATA

”PENGARUH RELIANCE ON MULTIPLE PERFORMANCE

MEASURES TERHADAP KINERJA MANAJER DENGAN GOAL

DIFFICULTY, GOAL SPECIFICITY DAN GOAL ACCEPTANCE

  Item Deleted Scale Variance if Item Deleted

  50.23 30.999 .860 .875 .945 KM7 50.30 30.882 .781 .868 .949 KM8

  50.45 30.049 .750 .699 .953 KM5 50.35 29.977 .836 .862 .947 KM6

  50.23 31.717 .809 .893 .948 KM3 50.33 30.635 .895 .904 .944 KM4

  Deleted KM1 50.30 31.190 .857 .904 .946 KM2

  Cronbach's Alpha if Item

  Multiple Correlation

  Correlation Squared

  Corrected Item- Total

  9 Item-Total Statistics Scale Mean if

  

SEBAGAI VARIABEL MODERASI

” UJI VALIDITAS & RELIABILITAS KM Case Processing Summary

  N of Items .953 .955

  Standardized Items

  Cronbach's Alpha Cronbach's Alpha Based on

  Reliability Statistics

  a. Listwise deletion based on all variables in the procedure.

  .0 Total 40 100.0

  a

  Valid 40 100.0 Excluded

  N % Cases

  50.25 31.064 .858 .865 .946 KM9 50.38 32.548 .709 .621 .953

  UJI VALIDITAS & RELIABILITAS RMPM Case Processing Summary

  Corrected Item- Total

  59.32 19.969 .707 .740 .907 RMP9 59.05 20.818 .723 .944 .905 RMPM10

  59.10 20.605 .757 .829 .903 RMPM7 59.00 21.282 .695 .910 .907 RMPM8

  58.90 22.041 .770 .831 .905 RMPM5 59.10 20.605 .643 .851 .911 RMPM6

  59.02 21.769 .707 .723 .906 RMPM3 58.90 22.759 .612 .772 .912 RMPM4

  Deleted RMPM1 59.07 21.456 .656 .839 .909 RMPM2

  Cronbach's Alpha if Item

  Multiple Correlation

  Correlation Squared

  Item Deleted Scale Variance if Item Deleted

  N % Cases

  10 Item-Total Statistics Scale Mean if

  N of Items .915 .920

  Standardized Items

  Cronbach's Alpha Cronbach's Alpha Based on

  Reliability Statistics

  a. Listwise deletion based on all variables in the procedure.

  .0 Total 40 100.0

  a

  Valid 40 100.0 Excluded

  58.93 21.610 .708 .886 .906

  UJI VALIDITAS & RELIABILITAS GD Case Processing Summary

  N % Valid 40 100.0

  a

  Cases Excluded .0 Total 40 100.0

  a. Listwise deletion based on all variables in the procedure.

  Reliability Statistics

  Cronbach's Alpha Cronbach's Alpha N of Items Based on

  Standardized Items

  .957 .957

  3 Item-Total Statistics Scale Mean if Scale Variance Corrected Item- Squared Cronbach's

  Item Deleted if Item Deleted Total Multiple Alpha if Item Correlation Correlation Deleted

  GD1 8.65 5.310 .924 .853 .925 GD2 8.63 5.881 .899 .812 .944

  GD3 8.73 5.435 .905 .822 .939

  UJI VALIDITAS & RELIABILITAS GS Case Processing Summary

  N % Valid 40 100.0

  a

  Cases Excluded .0 Total 40 100.0

  a. Listwise deletion based on all variables in the procedure.

  Reliability Statistics

  Cronbach's Alpha Cronbach's Alpha N of Items Based on

  Standardized Items

  .989 .989

  3 Item-Total Statistics Scale Mean if Scale Variance Corrected Item- Squared Cronbach's

  Item Deleted if Item Deleted Total Multiple Alpha if Item Correlation Correlation Deleted

  GS1 6.23 5.974 .970 .941 .987 GS2 6.30 5.959 .975 .955 .983

  GS3 6.28 5.999 .981 .963 .980

  UJI VALIDITAS & RELIABILITAS GA Case Processing Summary

  N % Valid 40 100.0

  a

  Cases Excluded .0 Total 40 100.0

  a. Listwise deletion based on all variables in the procedure.

  Reliability Statistics

  Cronbach's Alpha Cronbach's Alpha N of Items Based on

  Standardized Items

  .908 .910

  3 Item-Total Statistics Scale Mean if Scale Variance Corrected Item- Squared Cronbach's

  Item Deleted if Item Deleted Total Multiple Alpha if Item Correlation Correlation Deleted

  GA1 4.33 2.635 .826 .716 .866 GA2 4.18 2.199 .866 .762 .828

  GA3 4.00 2.513 .771 .600 .907

  

LAMPIRAN 4: UJI ASUMSI KLASIK & HIPOTESIS H

  39

  1 Regression 4.830 2 2.415 6.390 .004

  b

  Residual 13.982 37 .378 Total 18.812

  39

  2 Regression 6.785 3 2.262 6.769 .001

  c

  Residual 12.027 36 .334 Total 18.812

  a. Dependent Variable: KM

  b. Predictors: (Constant), GD, RMPM, RMPM.GD

  b. Predictors: (Constant), GD, RMPM

  c. Predictors: (Constant), GD, RMPM, RMPM.GD

  

Coefficients

a

  Model Unstandardized Coefficients

  Standardized Coefficients t Sig. Collinearity

  Statistics B Std. Error Beta Tolerance

  VIF

  1 (Constant) 1.761 1.297 1.358 .183 RMPM .689 .193 .507 3.563 .001 .994 1.006 GD .001 .085 .002 .012 .990 .994 1.006

  

ANOVA

a Model Sum of Squares df Mean Square F Sig.

  a. Predictors: (Constant), GD, RMPM

  1 ”PENGARUH RELIANCE ON MULTIPLE PERFORMANCE

MEASURES TERHADAP KINERJA MANAJER DENGAN GOAL

DIFFICULTY, GOAL SPECIFICITY DAN GOAL ACCEPTANCE

  2 RMPM.GD

  

SEBAGAI VARIABEL MODERASI

” UJI MULTIKOLINEARITAS H

  1 (TIDAK LOLOS) Variables Entered/Removed a

  Model Variables Entered Variables Removed

  Method

  1 GD, RMPM

  b

  . Enter

  b

  .361 .307 .57801

  . Enter

  a. Dependent Variable: KM b. All requested variables entered.

  Model Summary

  Model R R Square Adjusted R Square

  Std. Error of the Estimate 1 .507

  a

  .257 .217 .61473 2 .601

  b

  2 (Constant) 11.213 4.093 2.739 .010 RMPM -.761 .627 -.559 -1.215 .232 .084 11.942 GD -2.166 .899 -3.633 -2.408 .021 .008 128.158 RMPM.GD .332 .137 3.880 2.419 .021 .007 144.911

  UJI MULTIKOLINEARITAS H 1 (SETELAH MEAN CENTERING) & UJI H

1 Variables Entered/Removed a

  Method

  c. Predictors: (Constant), GD_MC, RMPM_MC, RMPM.GD_MC

  39

  2 Regression 6.771 3 2.257 6.743 .001

  c

  Residual 12.050 36 .335 Total 18.821

  39

  a. Dependent Variable: KM_MC

  b. Predictors: (Constant), GD_MC, RMPM_MC

  

Coefficients

a

  b

  Model Unstandardized Coefficients

  Standardized Coefficients t Sig. Collinearity

  Statistics B Std. Error Beta Tolerance

  VIF

  1 (Constant) -.001 .097 -.008 .994 RMPM_MC .688 .194 .506 3.555 .001 .994 1.006 GD_MC .001 .085 .001 .008 .994 .994 1.006

  2 (Constant) -.016 .092 -.171 .865 RMPM_MC .675 .182 .496 3.705 .001 .993 1.007 GD_MC .012 .080 .020 .148 .883 .991 1.009 RMPM.GD_MC .332 .137 .323 2.417 .021 .996 1.004

  a. Dependent Variable: KM_MC

  Residual 14.006 37 .379 Total 18.821

  1 Regression 4.815 2 2.407 6.360 .004

  1 GD_MC, RMPM_MC

  Model R R Square Adjusted R Square

  b

  . Enter

  2 RMPM.GD_MC

  b

  . Enter

  a. Dependent Variable: KM_MC b. All requested variables entered.

  Model Summary c

  Std. Error of the Estimate 1 .506

  Model Variables Entered Variables Removed

  a

  .256 .216 .61527 2 .600

  b

  .360 .306 .57856

  a. Predictors: (Constant), GD_MC, RMPM_MC

  b. Predictors: (Constant), GD_MC, RMPM_MC, RMPM.GD_MC

  c. Dependent Variable: KM_MC

  

ANOVA

a Model Sum of Squares df Mean Square F Sig.

  UJI NORMALITAS H

1 One-Sample Kolmogorov-Smirnov Test

  Standardized Residual

  N

  40 Normal Parameters

  a,b

  Mean

  0E-7 Std. Deviation .96076892

  Most Extreme Differences Absolute .141 Positive .093 Negative -.141

  Kolmogorov-Smirnov Z .889 Asymp. Sig. (2-tailed) .408 a. Test distribution is Normal.

  b. Calculated from data.

  UJI HETEROSKEDASTISITAS H

  Residual 4.034 36 .112 Total 4.319 39

  ANOVA a Model Sum of Squares df Mean Square F Sig.

  1 Regression .263 2 .132 1.200 .313

  b

  Residual 4.056 37 .110 Total 4.319 39

  2 Regression .285 3 .095 .849 .476

  c

  a. Dependent Variable: ABSRES1

  a. Predictors: (Constant), GD_MC, RMPM_MC

  b. Predictors: (Constant), GD_MC, RMPM_MC

  c. Predictors: (Constant), GD_MC, RMPM_MC, RMPM.GD_MC

  

Coefficients

a

  Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta

  1 (Constant) .440 .052 8.399 .000 RMPM_MC .084 .104 .129 .806 .426 GD_MC -.063 .046 -.221 -1.382 .175

  2 (Constant) .441 .053 8.318 .000 RMPM_MC .085 .105 .131 .810 .423 GD_MC -.064 .046 -.225 -1.390 .173 RMPM.GD_MC -.035 .079 -.072 -.444 .659

  b. Predictors: (Constant), GD_MC, RMPM_MC, RMPM.GD_MC

  .066 -.012 .33475

  

1

Variables Entered/Removed a

  b

  Model Variables Entered Variables Removed

  Method

  1 GD_MC, RMPM_MC

  b

  . Enter

  2 RMPM.GD_MC

  . Enter

  b

  a. Dependent Variable: ABSRES1 b. All requested variables entered.

  Model Summary

  Model R R Square Adjusted R Square

  Std. Error of the Estimate 1 .247

  a

  .061 .010 .33110 2 .257

  a. Dependent Variable: ABSRES1

  

LAMPIRAN 5: UJI ASUMSI KLASIK & HIPOTESIS H

  39

  1 Regression 5.316 2 2.658 7.286 .002

  b

  Residual 13.496 37 .365 Total 18.812

  39

  2 Regression 6.688 3 2.229 6.619 .001

  c

  Residual 12.124 36 .337 Total 18.812

  a. Dependent Variable: KM

  b. Predictors: (Constant), GS, RMPM, RMPM.GS

  b. Predictors: (Constant), GS, RMPM

  c. Predictors: (Constant), GS, RMPM, RMPM.GS

  

Coefficients

a

  Model Unstandardized Coefficients

  Standardized Coefficients t Sig. Collinearity

  Statistics B Std. Error Beta Tolerance

  VIF

  1 (Constant) 1.074 1.383 .776 .443 RMPM .750 .197 .551 3.814 .001 .930 1.075 GS .095 .082 .167 1.154 .256 .930 1.075

  

ANOVA

a Model Sum of Squares df Mean Square F Sig.

  a. Predictors: (Constant), GS, RMPM

  2 ”PENGARUH RELIANCE ON MULTIPLE PERFORMANCE

MEASURES TERHADAP KINERJA MANAJER DENGAN GOAL

DIFFICULTY, GOAL SPECIFICITY DAN GOAL ACCEPTANCE

  2 RMPM.GS

  

SEBAGAI VARIABEL MODERASI

” UJI MULTIKOLINEARITAS H

  2 (TIDAK LOLOS) Variables Entered/Removed a

  Model Variables Entered Variables Removed

  Method

  1 GS, RMPM

  b

  . Enter

  b

  .355 .302 .58033

  . Enter

  a. Dependent Variable: KM b. All requested variables entered.

  Model Summary

  Model R R Square Adjusted R Square

  Std. Error of the Estimate 1 .532

  a

  .283 .244 .60396 2 .596

  b

  2 (Constant) 10.499 4.855 2.162 .037 RMPM -.698 .742 -.513 -.941 .353 .060 16.587 GS -2.727 1.400 -4.787 -1.947 .059 .003 337.557 RMPM.GS .437 .217 4.791 2.018 .051 .003 314.772

  UJI MULTIKOLINEARITAS H 2 (SETELAH MEAN CENTERING) & UJI H

2 Variables Entered/Removed a

  Method

  c. Predictors: (Constant), GS_MC, RMPM_MC, RMPM.GS_MC

  39

  2 Regression 6.667 3 2.222 6.582 .001

  c

  Residual 12.155 36 .338 Total 18.821

  39

  a. Dependent Variable: KM_MC

  b. Predictors: (Constant), GS_MC, RMPM_MC

  

Coefficients

a

  b

  Model Unstandardized Coefficients

  Standardized Coefficients t Sig. Collinearity

  Statistics B Std. Error Beta Tolerance

  VIF

  1 (Constant) -.001 .096 -.011 .992 RMPM_MC .748 .197 .550 3.804 .001 .930 1.075 GS_MC .095 .082 .166 1.150 .258 .930 1.075

  2 (Constant) .069 .098 .702 .487 RMPM_MC .669 .193 .492 3.466 .001 .892 1.122 GS_MC .139 .082 .244 1.691 .099 .864 1.158 RMPM.GS_MC .436 .217 .291 2.013 .052 .861 1.162

  a. Dependent Variable: KM_MC

  Residual 13.523 37 .365 Total 18.821

  1 Regression 5.298 2 2.649 7.248 .002

  1 GS_MC, RMPM_MC

  Model R R Square Adjusted R Square

  b

  . Enter

  2 RMPM.GS_MC

  b

  . Enter

  a. Dependent Variable: KM_MC b. All requested variables entered.

  Model Summary c

  Std. Error of the Estimate 1 .531

  Model Variables Entered Variables Removed

  a

  .281 .243 .60456 2 .595

  b

  .354 .300 .58106

  a. Predictors: (Constant), GS_MC, RMPM_MC

  b. Predictors: (Constant), GS_MC, RMPM_MC, RMPM.GS_MC

  c. Dependent Variable: KM_MC

  

ANOVA

a Model Sum of Squares df Mean Square F Sig.

  UJI NORMALITAS H

2 One-Sample Kolmogorov-Smirnov Test

  Standardized Residual

  N

  40 Normal Parameters

  a,b

  Mean

  0E-7 Std. Deviation .96076892

  Most Extreme Differences Absolute .116 Positive .077 Negative -.116

  Kolmogorov-Smirnov Z .733 Asymp. Sig. (2-tailed) .656 a. Test distribution is Normal.

  b. Calculated from data.

  UJI HETEROSKEDASTISITAS H

  Residual 4.403 36 .122 Total 4.646

  1 Regression .085 2 .043 .346 .710

  b

  Residual 4.560 37 .123 Total 4.646

  39

  2 Regression .243 3 .081 .662 .581

  c

  39

  b. Predictors: (Constant), GS_MC, RMPM_MC, RMPM.GS_MC

  a. Dependent Variable: ABSRES2

  b. Predictors: (Constant), GS_MC, RMPM_MC

  c. Predictors: (Constant), GS_MC, RMPM_MC, RMPM.GS_MC

  

Coefficients

a

  Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta

  1 (Constant) .433 .056 7.807 .000 RMPM_MC -.020 .114 -.030 -.176 .862 GS_MC -.040 .048 -.140 -.831 .412

  2 (Constant) .410 .059 6.930 .000 RMPM_MC .007 .116 .010 .058 .954 GS_MC -.055 .049 -.193 -1.107 .276 RMPM.GS_MC -.148 .130 -.199 -1.135 .264

  

ANOVA

a Model Sum of Squares df Mean Square F Sig.

  a. Predictors: (Constant), GS_MC, RMPM_MC

  

2

Variables Entered/Removed a

  b

  Model Variables Entered Variables Removed

  Method

  1 GS_MC, RMPM_MC

  b

  . Enter

  2 RMPM.GS_MC

  . Enter

  .052 -.027 .34971

  a. Dependent Variable: ABSRES2 b. All requested variables entered.

  Model Summary

  Model R R Square Adjusted R Square

  Std. Error of the Estimate 1 .135

  a

  .018 -.035 .35108 2 .229

  b

  a. Dependent Variable: ABSRES2