KUESIONER Pengaruh Kepuasan Kerja Terhadap Komitmen Organisasi, Budaya Organisasi sebagai Variabel Moderating ( Studi Empiris Pada KAP di Semarang ) DATA RESPONDEN

(1)

Jenis Lama Gol. Wkt

(2)

36 30 P S1 8 < = 30 th 7 ‐ 9 th 4 3 3 3 4 3 20 ₄ ₄ ₃ ₃ ₄ 18 ₄ ₅ ₄ ₄ ₂ ₁ 20

37 27 L S1 1 < = 30 th 1 ‐ 3 th 4 4 4 4 4 4 24 ₄ ₃ ₃ ₃ ₄ 17 ₂ ₄ ₅ ₄ ₂ ₂ 19

38 24 L S1 2 < = 30 th 1 ‐ 3 th 4 3 3 3 3 4 20 ₄ ₄ ₃ ₄ ₄ 19 ₂ ₄ ₄ ₅ ₂ ₂ 19

39 25 P S1 1 < = 30 th 1 ‐ 3 th 3 3 3 3 3 3 18 2 3 2 3 3 13 4 5 5 5 1 1 21

40 25 L S1 2 < = 30 th 1 ‐ 3 th 4 4 3 3 4 3 21 4 4 4 4 4 20 2 5 4 4 2 1 18

41 26 L D3 6 < = 30 th 4 ‐ 6 th 4 4 3 3 4 3 21 4 4 4 4 4 20 1 5 4 5 1 4 20

150 142 138 137 150 135 140 143 143 143 150 114 162 154 162 103 98

(3)

KUESIONER

Pengaruh Kepuasan Kerja Terhadap Komitmen Organisasi,

Budaya Organisasi sebagai Variabel Moderating

( Studi Empiris Pada KAP di Semarang )

DATA RESPONDEN

Jenis Kelamin

: (1) Pria

(2) Wanita

Umur

: ...Tahun

Lama Bekerja

: ...Tahun ...Bulan

Pendidikan Terakhir : (1) D3

(3) S2

(2) S1

(4) S3

(5) lainnya ...

Nama KAP

: ...

Responden

(4)

Kepuasan Kerja

(Smith, et al, 1969; digunakan oleh Rosalia Neta Janiswara, 2007)

Lingkari pada jawaban anda. Nilai terendah (poin 1) jika jawaban Anda Sangat Tidak Setuju sampai nilai tertinggi (poin 5) jika jawaban Anda Sangat Setuju.

No.

Pertanyaan

Sangat tidak

setuju

pekerjaan saya selesai tepat

waktu.

Saya sangat puas dengan

cara pimpinan mengenai

karyawan

–

karyawannya.

Rekan

kerja

membuat

suasana kerja manjadi lebih

produktif.

Dengan adanya pengawasan

dari pimpinan membuat

pekerjaan menjadi selesai

tepat waktu.

Dalam

menyelesaikan

pekerjaan, rekan kerja saya

saling memberi dukungan.

Gaji yang saya dapatkan

cukup

dan

sebanding

dengan kerja keras selama

bekerja di KAP.

(5)

Komitmen Organisasi

(Porter et al, 1979; digunakan oleh Rosalia Neta Janiswara, 2007)

No.

Pertanyaan

Sangat tidak

setuju

Saya akan sangat senang untuk

menghabiskan sisa karir saya

dalam KAP ini.

KAP tempat saya bekerja

mempunyai arti pribadi yang

besar bagi saya.

Sampai saat ini, saya masih

mempunyai keinginan tetap

berada dalam KAP ini karena

saya membutuhkannya.

Salah satu konsekuensi negatif

meninggalkan KAP ini adalah

akan

kurangnya

alternatif

pekerjaan yang tersedia.

(6)

Budaya Organisasi

(Hofstede, 1990; digunakan oleh Rosalia Neta Janiswara, 2007)

No.

Pertanyaan

Sangat tidak

setuju

Tidak

setuju

Ragu -

ragu

Setuju

Sangat

setuju

Ditempat saya bekerja, lebih

tertarik pada hasil pekerjaan

dibandingkan pada orang yang

memperkerjakan.

Ditempat

saya

bekerja,

perubahan

–

perubahan

ditentukan berdasarkan surat

keputusan manajemen.

Ditempat saya bekerja, para

manajer

cenderung

mempertahankan

karyawan

yang berprestasi.

Ditempat

saya

bekerja,

memberikan petunjuk kerja

yang jelas kepada karyawan

baru.

Ditempat saya bekerja, tidak

mempunyai

ikatan

tertentu

dengan masyarakat sekitar.

Ditempat saya bekerja, tidak

peduli terhadap masalah

–

masalah pribadi karyawan.

(7)

Reliability

Scale: ALL VARIABLES

Case Processing Summary

N %

Cases Valid 41 100.0

Excludeda 0 .0

Total 41 100.0

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

Reliability Statistics

Cronbach's Alpha N of Items

.824 6

Item-Total Statistics

Scale Mean if Item Deleted

Scale Variance if Item Deleted

Corrected Item-Total Correlation

Cronbach's Alpha if Item Deleted

kk1 17.1220 4.560 .605 .793

kk2 17.3171 4.672 .524 .811

kk3 17.4146 4.699 .531 .809

kk4 17.4390 4.452 .656 .782

kk5 17.1220 4.610 .581 .798

(8)

Reliability

Scale: ALL VARIABLES

N %

Excludeda 0 .0

Total 41 100.0

.857 5

ko1 14.1220 3.960 .786 .795

ko2 14.0488 4.398 .637 .836

ko3 14.0488 4.048 .682 .826

ko4 14.0488 4.398 .637 .836

(9)

Reliability

41 100.0

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

-.238 6

Cronbach's

Alphaa N of Items

The value is negative due to a negative average covariance among items. This violates reliability model assumptions. You may want to check item codings. a.

16.5610 3.002 -.114 -.138a

15.3902 2.644 .126 -.458a

15.5854 2.399 .133 -.533a

15.3902 2.344 .357 -.730a

16.8293 3.395 -.225 .015

16.9512 4.048 -.402 .288

bo1

Scale Mean if Item Deleted Alpha if Item

Deleted

The value is negative due to a negative average covariance among items. This violates reliability model assumptions. You may want to check item codings.

(10)

Reliability

41 100.0

0 .0

41 100.0

Valid Excludeda

Total Cases

N %

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

.807 3

Cronbach's

Alpha N of Items

7.7073 1.712 .661 .731

7.9024 1.390 .690 .712

7.7073 1.912 .643 .759

bo2 bo3 bo4

Cronbach's Alpha if Item

(11)

Descriptives

Descriptive Statistics

41 12 30 20.78 2.525

41 12 23 17.54 2.550

41 7 15 11.66 1.852

41 KK

KO BO

Valid N (listwise)

N Minimum Maximum Mean Std. Deviation

21.40 18 30

19.09 12 21

20.78 12 30

18.00 14 23

16.27 12 20

17.54 12 23

11.77 7 15

11.36 8 15

11.66 7 15

Laki-laki Perempuan Total Laki-laki Perempuan Total Laki-laki Perempuan Total KK

KO

BO

(12)

20.59 12 24

Mean Minimum Maximum

20.50 19 21

Mean Minimum Maximum

20.90 18 24

(13)

Reliability

Scale: ALL VARIABLES

N %

Excludeda 0 .0

Total 41 100.0

.905 6

bo1 19.3902 8.294 .760 .885

bo2 19.1463 8.478 .770 .884

bo3 19.3415 7.830 .779 .884

bo4 19.1463 9.128 .686 .896

bo5 19.2683 9.051 .712 .893

(14)

Descriptives

Descriptives

N Mean Std. Deviation Std. Error

95% Confidence Interval for Mean

Minimum Maximum Lower Bound Upper Bound

KK Laki-laki 30 21.40 2.238 .409 20.56 22.24 18 30 Perempuan 11 19.09 2.587 .780 17.35 20.83 12 21 Total 41 20.78 2.525 .394 19.98 21.58 12 30 KO Laki-laki 30 18.00 2.364 .432 17.12 18.88 14 23 Perempuan 11 16.27 2.724 .821 14.44 18.10 12 20 Total 41 17.54 2.550 .398 16.73 18.34 12 23 BO Laki-laki 30 23.20 3.167 .578 22.02 24.38 15 30 Perempuan 11 22.82 4.400 1.327 19.86 25.77 17 29 Total 41 23.10 3.484 .544 22.00 24.20 15 30

Descriptives

KK <= 30 th 37 20.59 2.140 .352 19.88 21.31 12 24 31 - 40 th 2 20.50 .707 .500 14.15 26.85 20 21 > 40 th 2 24.50 7.778 5.500 -45.38 94.38 19 30

Total 41 20.78 2.525 .394 19.98 21.58 12 30

KO <= 30 th 37 17.30 2.391 .393 16.50 18.09 12 21 31 - 40 th 2 17.00 1.414 1.000 4.29 29.71 16 18 > 40 th 2 22.50 .707 .500 16.15 28.85 22 23

Total 41 17.54 2.550 .398 16.73 18.34 12 23

BO <= 30 th 37 22.89 3.438 .565 21.75 24.04 15 29 31 - 40 th 2 22.00 .000 .000 22.00 22.00 22 22 > 40 th 2 28.00 2.828 2.000 2.59 53.41 26 30

(15)

Descriptives

KK D3 6 20.50 .837 .342 19.62 21.38 19 21

S1 35 20.83 2.717 .459 19.90 21.76 12 30

Total 41 20.78 2.525 .394 19.98 21.58 12 30

KO D3 6 18.00 2.530 1.033 15.35 20.65 16 22

S1 35 17.46 2.582 .436 16.57 18.34 12 23

Total 41 17.54 2.550 .398 16.73 18.34 12 23

BO D3 6 22.83 4.997 2.040 17.59 28.08 18 30

S1 35 23.14 3.255 .550 22.02 24.26 15 29

Total 41 23.10 3.484 .544 22.00 24.20 15 30

Descriptives

KK 1 - 3 th 29 20.90 1.760 .327 20.23 21.57 18 24

4 - 6 th 7 20.57 .535 .202 20.08 21.07 20 21

7 - 9 th 3 17.67 4.933 2.848 5.41 29.92 12 21 >= 10 th 2 24.50 7.778 5.500 -45.38 94.38 19 30

Total 41 20.78 2.525 .394 19.98 21.58 12 30

KO 1 - 3 th 29 17.38 2.597 .482 16.39 18.37 12 21 4 - 6 th 7 16.86 1.574 .595 15.40 18.31 16 20 7 - 9 th 3 17.33 1.155 .667 14.46 20.20 16 18 >= 10 th 2 22.50 .707 .500 16.15 28.85 22 23

(16)

BO 1 - 3 th 29 23.03 3.448 .640 21.72 24.35 15 29 4 - 6 th 7 21.71 3.302 1.248 18.66 24.77 18 28 7 - 9 th 3 23.67 2.887 1.667 16.50 30.84 22 27 >= 10 th 2 28.00 2.828 2.000 2.59 53.41 26 30

Total 41 23.10 3.484 .544 22.00 24.20 15 30

Regression

Variables Entered/Removedb

Model Variables Entered

Variables

Removed Method

1 KKa . Enter

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

Model Summaryb

Model R R Square Adjusted R Square

Std. Error of the

Estimate Durbin-Watson

1 .442a .195 .175 2.317 2.178

a. Predictors: (Constant), KK b. Dependent Variable: KO

ANOVAb

Model Sum of Squares df Mean Square F Sig.

1 Regression 50.807 1 50.807 9.463 .004a

Residual 209.388 39 5.369

Total 260.195 40

(17)

Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

t Sig. B Std. Error Beta

1 (Constant) 8.261 3.037 2.720 .010

KK .446 .145 .442 3.076 .004

a. Dependent Variable: KO

Tests of Normality

Kolmogorov-Smirnova Shapiro-Wilk

Statistic df Sig. Statistic df Sig. Unstandardized Residual - 1 .113 41 .200* .978 41 .605 a. Lilliefors Significance Correction

(18)

Regression

Variables

Removed Method

1 KKa . Enter

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

Model Summary

Std. Error of the Estimate

1 .227a .052 .027 1.19202

a. Predictors: (Constant), KK

ANOVAb

1 Regression 3.021 1 3.021 2.126 .153a

Residual 55.416 39 1.421

Total 58.436 40

a. Predictors: (Constant), KK b. Dependent Variable: AbsRes

Coefficientsa

Model

1 (Constant) 4.180 1.562 2.676 .011

KK -.109 .075 -.227 -1.458 .153

(19)

Regression

KK.BO, KK,

All requested variables entered. a.

Dependent Variable: KO b.

Model Summaryb

.569a .324 .269 2.181 2.374

Model 1

R R Square

Adjusted R Square

Durbin-Watson

Predictors: (Constant), KK.BO, KK, BO a.

ANOVAb

84.218 3 28.073 5.902 .002a

175.977 37 4.756

260.195 40

Squares df Mean Square F Sig.

Predictors: (Constant), KK.BO, KK, BO a.

Coefficientsa

50.729 26.070 1.946 .059

-1.830 1.267 -1.812 -1.445 .157 .012 86.044

-3.276 2.039 -2.379 -1.607 .117 .008 119.921

.177 .099 3.586 1.793 .081 .005 218.853

(Constant)

B Std. Error

Beta Standardized

Coefficients

t Sig. Tolerance VIF

Collinearity Statistics

(20)

Collinearity Diagnosticsa

3.961 1.000 .00 .00 .00 .00

.024 12.804 .00 .00 .00 .00

.015 16.223 .00 .00 .00 .00

4.55E-005 295.092 1.00 1.00 .99 1.00

Dimension

Index (Constant) KK BO KK.BO

Variance Proportions

Dependent Variable: KO a.

Residuals Statisticsa

14.85 24.47 17.54 1.451 41

-5.932 4.627 .000 2.097 41

-1.851 4.776 .000 1.000 41

-2.720 2.122 .000 .962 41

Predicted Value Residual

Std. Predicted Value Std. Residual

Minimum Maximum Mean Std. Deviation N

.078 41 .200* .979 41 .653

Unstandardized Residual

Statistic df Sig. Statistic df Sig.

This is a lower bound of the true significance. *.

(21)

Regression

KK.BO, KKa . Enter

Dependent Variable: AbsRes2 b.

Model Summary

.250a .062 .013 1.03822298

Model 1

R R Square

Adjusted R Square

Predictors: (Constant), KK.BO, KK a.

ANOVAb

2.722 2 1.361 1.263 .295a

40.960 38 1.078

43.682 40

Dependent Variable: AbsRes2 b.

Coefficientsa

1.912 1.374 1.392 .172

-.097 .088 -.233 -1.097 .280

.007 .004 .338 1.589 .120

(Constant) KK KK.BO Model

1

B Std. Error

Unstandardized

(22)

Regression

KK.BO, KKa . Enter

Model Summaryb

.526a .276 .238 2.226 2.198

Model 1

R R Square

Adjusted R Square

Durbin-Watson

ANOVAb

71.936 2 35.968 7.260 .002a

188.259 38 4.954

260.195 40

Coefficientsa

9.092 2.945 3.088 .004

.184 .189 .182 .972 .337 .545 1.834

.019 .009 .386 2.065 .046 .545 1.834

(Constant) KK KK.BO Model

1

B Std. Error

Beta Standardized

Coefficients

t Sig. Tolerance VIF

(23)

2.973 1.000 .00 .00 .00

.022 11.685 .25 .01 .62

.005 24.268 .74 .99 .38

Dimension 1

2 3 Model 1

Eigenvalue

Condition

Index (Constant) KK KK.BO

14.04 22.62 17.54 1.341 41

-6.108 4.512 .000 2.169 41

-2.605 3.787 .000 1.000 41

-2.744 2.027 .000 .975 41

Predicted Value Residual

Std. Predicted Value Std. Residual

Minimum Maximum Mean Std. Deviation N

(24)

Regression

Variables Entered/Removed

Variables

Removed Method 1 KK.BO, KK, BOa . Enter a. All requested variables entered.

Model Summaryb

Std. Error of the

1 .612a .375 .324 2.097 2.337

a. Predictors: (Constant), KK.BO, KK, BO b. Dependent Variable: KO

ANOVAb

1 Regression 97.534 3 32.511 7.395 .001a

Residual 162.661 37 4.396

Total 260.195 40

a. Predictors: (Constant), KK.BO, KK, BO b. Dependent Variable: KO

Coefficientsa

Model

t Sig.

B Std. Error Beta Tolerance VIF

1 (Constant) 72.172 26.816 2.691 .011

KK -2.920 1.317 -2.891 -2.218 .033 .010 100.549 BO -2.627 1.108 -3.589 -2.371 .023 .007 135.573

(25)

Coefficientsa

Model

t Sig.

1 (Constant) 72.172 26.816 2.691 .011

KK -2.920 1.317 -2.891 -2.218 .033 .010 100.549 BO -2.627 1.108 -3.589 -2.371 .023 .007 135.573

KK.BO .139 .054 5.274 2.555 .015 .004 252.133

Model

Dimensi

on Eigenvalue Condition Index

(Constant) KK BO KK.BO

1 1 3.964 1.000 .00 .00 .00 .00

2 .021 13.583 .00 .00 .00 .00

3 .014 16.565 .00 .00 .00 .00

4 3.770E-5 324.272 1.00 1.00 .99 1.00

Minimum Maximum Mean Std. Deviation N Predicted Value 14.34 24.56 17.54 1.562 41

Residual -6.110 4.985 .000 2.017 41

Std. Predicted Value -2.049 4.495 .000 1.000 41

Std. Residual -2.914 2.378 .000 .962 41

(26)

Regression

Variables

Removed Method

1 KK.BO, KKa . Enter

a. All requested variables entered.

Model Summaryb

Std. Error of the

1 .529a .280 .242 2.221 2.164

a. Predictors: (Constant), KK.BO, KK b. Dependent Variable: KO

ANOVAb

1 Regression 72.814 2 36.407 7.383 .002a

Residual 187.381 38 4.931

Total 260.195 40

a. Predictors: (Constant), KK.BO, KK b. Dependent Variable: KO

Coefficientsa

Model

t Sig.

1 (Constant) 8.923 2.927 3.048 .004

KK .172 .190 .171 .907 .370 .535 1.870

KK.BO .010 .005 .398 2.113 .041 .535 1.870

(27)

Model

Dimensi

on Eigenvalue Condition Index

Variance Proportions (Constant) KK KK.BO

1 1 2.976 1.000 .00 .00 .00

2 .019 12.355 .30 .00 .60

3 .005 24.415 .70 .99 .40

Minimum Maximum Mean Std. Deviation N Predicted Value 13.76 22.26 17.54 1.349 41

Residual -6.443 4.582 .000 2.164 41

Std. Predicted Value -2.803 3.501 .000 1.000 41

Std. Residual -2.901 2.064 .000 .975 41

Statistic df Sig. Statistic df Sig. Unstandardized Residual - 2 .098 41 .200* .976 41 .518 a. Lilliefors Significance Correction

(28)

Regression

Variables

Removed Method

1 KK.BO, KKa . Enter

a. All requested variables entered.

Model Summary

1 .303a .092 .044 1.05633372

a. Predictors: (Constant), KK.BO, KK

ANOVAb

1 Regression 4.299 2 2.149 1.926 .160a

Residual 42.402 38 1.116

Total 46.701 40

(29)

Coefficientsa

Model

1 (Constant) 4.081 1.392 2.931 .006

KK -.163 .090 -.381 -1.803 .079

KK.BO .002 .002 .140 .663 .511