82
LAMPIRAN A
KUESIONER PENELITIAN
Sehubungan dengan penelitian saya yang berjudul “
Pengaruh Partisipasi
Anggaran terhadap Kinerja Legislatif Kabupaten atau Kota dengan Otonomi Daerah
dan Komitmen Organisasi sebagai Variabel Moderating (Studi Empiris pada DPRD II
Kabupaten Semarang, Kabupaten Kendal, dan Kota Salatiga)”
, maka saya memohon
kesediaan Bapak / Ibu untuk mengisi kuesioner berikut ini. Atas kesediaan waktu yang
diberikan oleh Bapak / Ibu saya mengucapkan terimakasih.
IDENTITAS RESPONDEN:
Nama
:
Jenis Kelamin
: P / L
Partai
:
Jabatan
:
Petunjuk Pengisian Kuesioner :
Mohon memberikan tanda silang (X) pada pada salah satu kolom
(STS/TS/N/S/SS)
sesuai dengan jawaban yang Bapak / Ibu pilih.
Keterangan
:
STS
: Sangat Tidak Setuju
TS
: Sangat Setuju
N
: Netral
84
PARTISIPASI PENYUSUNAN ANGGARAN (Milani 1975 dalam Asriningati 2006)
Pertanyaan berikut ini dapat digunakan untuk mendeskripsikan peranan yang
Anda pegang dalam merancang anggaran untuk pemerintahan Kabupaten/Kota
Bapak/Ibu/Saudara. Mohon dijawab dengan
melingkari
nomor dari 1 sampai dengan 5
pada skala untuk masing-masing pertanyaan berikut:
a) Keterlibatan saya dalam penyusunan anggaran.
1
2
3
4
5
Tidak satu anggaran pun
Semua
anggaran
b) Alasan pimpinan rapat panitia anggaran ketika meerevisi anggaran yang saya buat.
1
2
3
4
5
Sangat tidak logis
Sangat logis
c) Frekuensi saya dalam memberikan pendapat atau usulan dalam rapat panitia anggaran.
1
2
3
4
5
Tidak pernah
Sangat sering
d) Pengaruh yang saya miliki atas hasil akhir anggaran.
1
2
3
4
5
Tidak ada pengaruh
Sangat
berpengaruh
1
2
3
4
5
Sangat tidak penting
Sangat penting
f) Frekuensi pimpinan rapat panitia anggaran meminta pendapat atau usulan saya ketika
penyusunan anggaran.
1
2
3
4
5
86
I.
KOMITMEN PADA PARTAI POLITIK (Mowday 1979, dalam Asriningati 2006)
Pernyataan berikut ini akan menggambarkan persepsi terhadap organisasi partai
politik yang Bapak/Ibu/Saudara anut. Pilihan jawaban berupa skala 1 sampai dengan 5
yang menunjukkan ’sangat tidak setuju’ sampai dengan ’sangat setuju’
NO
KETERANGAN
STS
TS
N
S
SS
1.
Saya berkeinginan memberikan
segala upaya yang ada untuk
membantu organisasi partai politik
saya untuk menjadi sukses.
2.
Saya membanggakan partai politik
saya kepada teman-teman saya
sebagai suatu organisasi partai
politik yang paling baik.
3.
Saya akan menerima hampir setiap
jenis penugasan pekerjaan agar
tetap bisa menjadi kader organisasi
parpol saya.
4.
Saya menemukan bahwa sistem
nilai (
values
) saya sama dengan
sistem nilai (
values
) organsasi
partai politik tempat saya
bernaung.
5.
Saya bangga mengatakan kepada
orang lain bahwa saya kader pada
organisasi partai politik tempat
saya bernaung saat ini.
6.
Organisasi partai politik saya
memberikan peluang yang terbaik
bagi saya untuk meningkatkan
kinerja organisasi partai politik.
7.
Saya merasa pilihan saya untuk
organisasi partai politik ini paling
tepat dibandingkan organisasi
partai politik lain yang sudah saya
pertimbangkan sebelumnya.
8.
Kepedulian saya terhadap masa
depan organisasi partai politik
tempat saya bernaung saat ini
sangat besar.
9.
Bagi saya organisasi partai politik
ini adalah yang terbaik dari semua
kemungkinan organisasi partai
politik yang ada.
II.
PRINSIP
DAN
KENDALA
OTONOMI
DAERAH
(Governance
and
Decentralization Survey)
Pernyataan berikut ini merupakan persepsi bapak / ibu mengenai
prinsip otonomi daerah yang berlaku dan kendala apa saja yang terjadi
dalam rangka pelaksanaan otonomi daerah di daerah kabupaten / kota
tempat bapk / ibu bekerja.
PRINSIP OTONOMI DAERAH
NO
KETERANGAN
STS
TS
N
S
SS
1.
88
3.
Menurut saya otonomi daerah
berarti menggali sumber dana
daerah sebesar-besarnya melalui
pajak dan retribusi.
4.
Otonomi daerah membuat saya
bisa memperjuangkan kepentingan
warga / penduduk asli dalam
pemerintahan dan pembangunan.
5.
Otonomi daerah memberikan
kesempatan bagi saya untuk
mengalokasikan anggaran
pembangunan secara otonom.
6.
Menurut saya otonomi daerah
berarti memperkuat identitas
daerah.
7.
Otonomi daerah menurut saya
berarti menggunakan seluruh
sumber daya yang ada di
Kabupaten / Kota tempat saya
bekerja untuk kepentingan daerah
sendiri
8.
Otonomi daerah membuat saya
mampu untuk meningkatkan
kualitas pelayanan masyarakat.
9.
Otonomi daerah semakin
KENDALA OTONOMI DAERAH
NO
KETERANGAN
STS
TS
N
S
SS
1.
Keterbatasan dana merupakan
kendala dalam pelaksanaan otonomi
daerah saya.
2.
Ketidak jelasan aturan merupakan
kendala dalam pelaksanaan otonomi
daerah saya.
3.
Keterbatasan sumber daya alam
merupakan kendala dalam
pelaksanaan otonomi daerah saya.
4.
Keterbatasan
sumber
daya
ekonomi merupakan kendala dalam
pelaksanaan otonomi daerah saya.
5.
Keterbatasan sumber daya manusia
merupakan kendala dalam
pelaksanaan otonomi daerah saya.
6.
Ketidakpastian politik termasuk
euforia politik merupakan kendala
dalam pelaksanaan politik daerah
saya.
90
dalam pelaksanaan otonomi dearah
saya.
10.
Konflik dengan daerah lain
merupakan kendala dalm
pelaksanaan otonomi daerah saya.
11.
Jumlah pegawai tidak sesuai dengan
LAMPIRAN B
92
Crosstabs
Case Processing Summary
75 100.0% 0 .0% 75 100.0%
Jenis Kelamin * Daerah
N Percent N Percent N Percent
Valid Missing Total
Cases
Crosstabs
Case Processing Summary
75 100.0% 0 .0% 75 100.0%
Partai * Daerah
N Percent N Percent N Percent
Valid Missing Total
Cases
Jenis Kelamin * Daerah Crosstabulation
Count
16 15 16 17 64
1 1 3 6 11
17 16 19 23 75
L P Jenis Kelamin
Total
Kabupaten Kendal
Kabupaten
Semarang Kota Salatiga
Kota Semarang Daerah
Partai * Daerah Crosstabulation
Count
1 3 5 5 14
2 2 1 2 7
2 0 1 4 7
4 4 7 4 19
0 0 0 1 1
4 2 0 2 8
0 1 1 1 3
1 2 2 3 8
3 2 2 1 8
17 16 19 23 75
Golkar PAN PD PDIP PIS PKB PKPI PKS PPP Partai
Total
Kabupaten Kendal
Kabupaten
Semarang Kota Salatiga
Kota Semarang Daerah
94
Crosstabs
Case Processing Summary
75 100.0% 0 .0% 75 100.0%
Jabatan * Daerah
N Percent N Percent N Percent
Valid Missing Total
Cases
Jabatan * Daerah Crosstabulation
Count
14 13 15 19 61
1 1 1 1 4
2 2 3 3 10
17 16 19 23 75
Anggota Ketua Wakil Ketua Jabatan
Total
Kabupaten Kendal
Kabupaten
Semarang Kota Salatiga
Kota Semarang Daerah
96
Correlations PPA1
Correlations
1 .041 .420** .573** .637** .497** .803**
.726 .000 .000 .000 .000 .000
75 75 75 75 75 75 75
.041 1 .082 .060 .018 .101 .075
.726 .486 .608 .877 .388 .524
75 75 75 75 75 75 75
.420** .082 1 .570** .463** .537** .753**
.000 .486 .000 .000 .000 .000
75 75 75 75 75 75 75
.573** .060 .570** 1 .580** .510** .820**
.000 .608 .000 .000 .000 .000
75 75 75 75 75 75 75
.637** .018 .463** .580** 1 .517** .813**
.000 .877 .000 .000 .000 .000
75 75 75 75 75 75 75
.497** .101 .537** .510** .517** 1 .761**
.000 .388 .000 .000 .000 .000
75 75 75 75 75 75 75
.803** .075 .753** .820** .813** .761** 1
.000 .524 .000 .000 .000 .000
75 75 75 75 75 75 75
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Partisipasi Anggaran
ppa1 ppa2 ppa3 ppa4 paa5 ppa6
Partisipasi Anggaran
Correlation is significant at the 0.01 level (2-tailed). **.
Correlations
1 .420** .573** .637** .497** .774**
.000 .000 .000 .000 .000
75 75 75 75 75 75
.420** 1 .570** .463** .537** .713**
.000 .000 .000 .000 .000
75 75 75 75 75 75
.573** .570** 1 .580** .510** .786**
.000 .000 .000 .000 .000
75 75 75 75 75 75
.637** .463** .580** 1 .517** .791**
.000 .000 .000 .000 .000
75 75 75 75 75 75
.497** .537** .510** .517** 1 .716**
.000 .000 .000 .000 .000
75 75 75 75 75 75
.774** .713** .786** .791** .716** 1
.000 .000 .000 .000 .000
75 75 75 75 75 75
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
ppa1 ppa3 ppa4 ppa5 ppa6 toappabaru
Correlation is significant at the 0.01 level (2-tailed). **.
98
Correlations1 .373** .076 .306** .074 .186 .007 .105 .169 .464** .001 .515 .008 .526 .110 .951 .372 .147 .000
75 75 75 75 75 75 75 75 75 75
.373** 1 .214 .084 .280* -.081 -.026 .188 .258* .508** .001 .066 .475 .015 .492 .822 .107 .025 .000
75 75 75 75 75 75 75 75 75 75
.076 .214 1 -.030 .112 .003 -.021 .040 .135 .309** .515 .066 .796 .339 .979 .858 .734 .248 .007
75 75 75 75 75 75 75 75 75 75
.306** .084 -.030 1 .099 .018 .184 -.015 .072 .342** .008 .475 .796 .397 .879 .114 .897 .542 .003
75 75 75 75 75 75 75 75 75 75
.074 .280* .112 .099 1 .150 .162 .214 .123 .527** .526 .015 .339 .397 .198 .164 .065 .293 .000
75 75 75 75 75 75 75 75 75 75
.186 -.081 .003 .018 .150 1 .284* .137 .076 .433** .110 .492 .979 .879 .198 .014 .242 .516 .000
75 75 75 75 75 75 75 75 75 75
.007 -.026 -.021 .184 .162 .284* 1 .403** .310** .559** .951 .822 .858 .114 .164 .014 .000 .007 .000
75 75 75 75 75 75 75 75 75 75
.105 .188 .040 -.015 .214 .137 .403** 1 .419** .603** .372 .107 .734 .897 .065 .242 .000 .000 .000
75 75 75 75 75 75 75 75 75 75
.169 .258* .135 .072 .123 .076 .310** .419** 1 .613** .147 .025 .248 .542 .293 .516 .007 .000 .000
75 75 75 75 75 75 75 75 75 75
.464** .508** .309** .342** .527** .433** .559** .603** .613** 1 .000 .000 .007 .003 .000 .000 .000 .000 .000
75 75 75 75 75 75 75 75 75 75
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Komit1 Komit2 Komit3 Komit4 Komit5 Komit6 Komit7 Komit8 Komit9 Tot.Komitmen
Correlation is significant at the 0.01 level (2-tailed). **.
Correlation is significant at the 0.05 level (2-tailed). *.
Correlations
1 .532** .387** .116 .372** .249* .323** .201 .451** .563** .000 .001 .322 .001 .031 .005 .084 .000 .000
75 75 75 75 75 75 75 75 75 75
.532** 1 .555** .443** .450** .423** .477** .350** .419** .739** .000 .000 .000 .000 .000 .000 .002 .000 .000
75 75 75 75 75 75 75 75 75 75
.387** .555** 1 .479** .580** .487** .482** .550** .612** .808** .001 .000 .000 .000 .000 .000 .000 .000 .000
75 75 75 75 75 75 75 75 75 75
.116 .443** .479** 1 .501** .471** .553** .307** .306** .686** .322 .000 .000 .000 .000 .000 .007 .008 .000
75 75 75 75 75 75 75 75 75 75
.372** .450** .580** .501** 1 .667** .621** .252* .532** .784** .001 .000 .000 .000 .000 .000 .029 .000 .000
75 75 75 75 75 75 75 75 75 75
.249* .423** .487** .471** .667** 1 .562** .241* .419** .715** .031 .000 .000 .000 .000 .000 .037 .000 .000
75 75 75 75 75 75 75 75 75 75
.323** .477** .482** .553** .621** .562** 1 .304** .461** .750** .005 .000 .000 .000 .000 .000 .008 .000 .000
75 75 75 75 75 75 75 75 75 75
.201 .350** .550** .307** .252* .241* .304** 1 .506** .576** .084 .002 .000 .007 .029 .037 .008 .000 .000
75 75 75 75 75 75 75 75 75 75
.451** .419** .612** .306** .532** .419** .461** .506** 1 .719** .000 .000 .000 .008 .000 .000 .000 .000 .000
75 75 75 75 75 75 75 75 75 75
.563** .739** .808** .686** .784** .715** .750** .576** .719** 1 .000 .000 .000 .000 .000 .000 .000 .000 .000
75 75 75 75 75 75 75 75 75 75
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Prinsip1 Prinsip2 Prinsip3 Prinsip4 Prinsip5 Prinsip6 Prinsip7 Prinsip8 Prinsip9 Tot.Prinsip
Correlation is significant at the 0.01 level (2-tailed). **.
100
Correlations Kendala Otonomi Daerah
Correlations
1 .749** -.068 .544** .146 .431** .583** .611** .599** .481** .506** .701** .000 .564 .000 .213 .000 .000 .000 .000 .000 .000 .000
75 75 75 75 75 75 75 75 75 75 75 75
.749** 1 -.003 .657** .164 .607** .507** .658** .596** .599** .610** .785** .000 .980 .000 .160 .000 .000 .000 .000 .000 .000 .000
75 75 75 75 75 75 75 75 75 75 75 75
-.068 -.003 1 .092 .189 .169 -.076 -.018 -.087 .029 .065 .257* .564 .980 .434 .104 .148 .515 .876 .456 .802 .579 .026
75 75 75 75 75 75 75 75 75 75 75 75
.544** .657** .092 1 .210 .560** .508** .665** .643** .552** .478** .773** .000 .000 .434 .071 .000 .000 .000 .000 .000 .000 .000
75 75 75 75 75 75 75 75 75 75 75 75
.146 .164 .189 .210 1 .176 .241* .191 .228* .155 .227 .456** .213 .160 .104 .071 .131 .037 .101 .049 .183 .050 .000
75 75 75 75 75 75 75 75 75 75 75 75
.431** .607** .169 .560** .176 1 .526** .488** .543** .664** .610** .765** .000 .000 .148 .000 .131 .000 .000 .000 .000 .000 .000
75 75 75 75 75 75 75 75 75 75 75 75
.583** .507** -.076 .508** .241* .526** 1 .597** .658** .592** .600** .742** .000 .000 .515 .000 .037 .000 .000 .000 .000 .000 .000
75 75 75 75 75 75 75 75 75 75 75 75
.611** .658** -.018 .665** .191 .488** .597** 1 .736** .499** .463** .758** .000 .000 .876 .000 .101 .000 .000 .000 .000 .000 .000
75 75 75 75 75 75 75 75 75 75 75 75
.599** .596** -.087 .643** .228* .543** .658** .736** 1 .532** .565** .772** .000 .000 .456 .000 .049 .000 .000 .000 .000 .000 .000
75 75 75 75 75 75 75 75 75 75 75 75
.481** .599** .029 .552** .155 .664** .592** .499** .532** 1 .490** .730** .000 .000 .802 .000 .183 .000 .000 .000 .000 .000 .000
75 75 75 75 75 75 75 75 75 75 75 75
.506** .610** .065 .478** .227 .610** .600** .463** .565** .490** 1 .728** .000 .000 .579 .000 .050 .000 .000 .000 .000 .000 .000
75 75 75 75 75 75 75 75 75 75 75 75
.701** .785** .257* .773** .456** .765** .742** .758** .772** .730** .728** 1 .000 .000 .026 .000 .000 .000 .000 .000 .000 .000 .000
75 75 75 75 75 75 75 75 75 75 75 75
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Pearson Correlation Sig. (2-tailed) N
Kendala1 Kendala2 Kendala3 Kendala4 Kendala5 Kendala6 Kendala7 Kendala8 Kendala9 Kendala10 Kendala11 Tot.Kendala
Correlation is significant at the 0.01 level (2-tailed). **.
LAMPIRAN D
102
Reliability PPA
Case Processing Summary
75 100.0
0 .0
75 100.0
Valid Excludeda
Total Cases
N %
Listwise deletion based on all variables in the procedure. a.
Reliability Statistics
.849 5
Cronbach's
Alpha N of Items
Item Statistics
3.69 .788 75
Mean Std. Deviation N
Item-Total Statistics
15.05 5.213 .663 .818
15.07 5.631 .606 .831
14.99 5.311 .703 .806
14.91 5.329 .691 .809
14.97 5.810 .636 .825
ppa1 ppa3 ppa4 paa5 ppa6
Scale Mean if Item Deleted
Scale Variance if Item Deleted
Corrected Item-Total Correlation
Cronbach's Alpha if Item
Deleted
Scale Statistics
18.75 8.219 2.867 5
Reliability Komitmen
Case Processing Summary
75 100.0
0 .0
75 100.0
Valid Excludeda
Total Cases
N %
Listwise deletion based on all variables in the procedure. a.
Reliability Statistics
.602 9
Cronbach's
Alpha N of Items
Item Statistics
4.07 .414 75
4.05 .590 75
4.19 .456 75
4.32 .470 75
4.12 .614 75
4.07 .644 75
Komit1 Komit2 Komit3 Komit4 Komit5 Komit6
104
Item-Total Statistics
32.87 5.414 .318 .571
32.88 5.053 .300 .570
32.75 5.705 .131 .608
32.61 5.619 .161 .602
32.81 4.965 .313 .567
32.87 5.225 .190 .604
32.76 4.888 .357 .554
32.92 4.750 .412 .538
33.00 4.649 .409 .537
Komit1
Scale Mean if Item Deleted
Scale Variance if Item Deleted
Corrected Item-Total Correlation
Cronbach's Alpha if Item
Deleted
Scale Statistics
36.93 6.198 2.490 9
Mean Variance Std. Deviation N of Items
Reliability Prinsip Otonomi Daerah
Case Processing Summary
75 100.0
0 .0
75 100.0
Valid Excludeda
Total Cases
N %
Listwise deletion based on all variables in the procedure. a.
Reliability Statistics
.869 9
Cronbach's
Item Statistics
Mean Std. Deviation N
Item-Total Statistics
30.53 21.117 .440 .870
30.43 19.491 .648 .851
30.45 19.062 .739 .842
30.59 19.084 .555 .863
30.51 19.334 .709 .845
30.55 19.900 .623 .853
30.45 20.170 .678 .850
30.47 21.117 .461 .868
30.37 20.778 .649 .853
Prinsip1
Scale Mean if Item Deleted
Scale Variance if Item Deleted
Corrected Item-Total Correlation
Cronbach's Alpha if Item
Deleted
Scale Statistics
34.29 24.913 4.991 9
Mean Variance Std. Deviation N of Items
Reliability Kendala Otonomi Daerah
Case Processing Summary
106
Reliability Statistics
.851 11
Cronbach's
Alpha N of Items
Item Statistics
4.17 .554 75
4.04 .667 75
3.39 1.089 75
3.89 .689 75
3.52 1.044 75
4.00 .735 75
Mean Std. Deviation N
Item-Total Statistics
38.61 24.375 .642 .834 38.75 23.084 .729 .825 39.40 26.405 .054 .892 38.89 23.015 .712 .826 39.27 24.225 .280 .868 38.79 22.765 .697 .826 38.91 22.951 .669 .828 38.79 23.197 .695 .827 38.76 23.104 .712 .826 38.88 23.134 .656 .829 38.83 23.902 .667 .831 Kendala1
Scale Mean if Item Deleted
Scale Variance if Item Deleted
Corrected Item-Total Correlation
Cronbach's Alpha if Item
Deleted
Scale Statistics
42.79 28.197 5.310 11
LAMPIRAN E
108
Logistic Regression PPA terhadap Kinerja
Case Processing Summary
75 100.0
0 .0
75 100.0
0 .0
75 100.0
Unweighted Casesa
Included in Analysis Missing Cases Total
Selected Cases
Unselected Cases Total
N Percent
If weight is in effect, see classification table for the total number of cases.
a.
Dependent Variable Encoding
0 1 Original Value
Tidak terpilih Terpilih
Internal Value
Block 0: Beginning Block
Iteration Historya,b,c
89.006 -.880
88.943 -.944
88.943 -.944
Iteration
likelihood Constant Coefficients
Constant is included in the model. a.
Initial -2 Log Likelihood: 88.943 b.
Classification Tablea,b
54 0 100.0
21 0 .0
72.0 Observed
Tidak terpilih Terpilih Kinerja
Overall Percentage Step 0
Tidak terpilih Terpilih
Kinerja Percentage Correct Predicted
Constant is included in the model. a.
The cut value is .500 b.
Variables in the Equation
-.944 .257 13.487 1 .000 .389
Constant Step 0
B S.E. Wald df Sig. Exp(B)
Variables not in the Equation
3.044 1 .081
3.044 1 .081
pa Variables
Overall Statistics Step 0
Score df Sig.
Block 1: Method = Enter
Iteration Historya,b,c,d
85.965 -3.262 .635
85.407 -4.591 .958
85.394 -4.844 1.021 85.394 -4.851 1.022 85.394 -4.851 1.022 Iteration
likelihood Constant pa Coefficients
Method: Enter a.
110
Omnibus Tests of Model Coefficients
3.549 1 .060
Chi-square df Sig.
Model Summary
85.394a .046 .067
Step 1
-2 Log likelihood
Cox & Snell R Square
Nagelkerke R Square
Estimation terminated at iteration number 5 because parameter estimates changed by less than .001. a.
Hosmer and Lemeshow Test
6.861 5 .231
Step 1
Chi-square df Sig.
Contingency Table for Hosmer and Lemeshow Test
8 8.125 1 .875 9
Observed Expected Kinerja = Tidak terpilih
Observed Expected Kinerja = Terpilih
Total
Classification Tablea
53 1 98.1
21 0 .0
70.7 Observed
Tidak terpilih Terpilih Kinerja
Overall Percentage Step 1
Tidak terpilih Terpilih
Kinerja Percentage Correct Predicted
Variables in the Equation
1.022 .611 2.796 1 .095 2.780 .839 9.213
-4.851 2.390 4.119 1 .042 .008
pa Constant Step
1a
B S.E. Wald df Sig. Exp(B) Lower Upper
95.0% C.I.for EXP(B)
Variable(s) entered on step 1: pa. a.
Correlation Matrix
1.000 -.994 -.994 1.000 Constant
pa Step 1
112
Logistic Regression Moderasi Komitmen
Case Processing Summary
75 100.0
0 .0
75 100.0
0 .0
75 100.0
Unweighted Casesa
Included in Analysis Missing Cases Total
Selected Cases
Unselected Cases Total
N Percent
If weight is in effect, see classification table for the total number of cases.
a.
Dependent Variable Encoding
0 1 Original Value
Tidak terpilih Terpilih
Internal Value
Block 0: Beginning Block
Iteration Historya,b,c
89.006 -.880
88.943 -.944
88.943 -.944
Iteration
likelihood Constant Coefficients
Constant is included in the model. a.
Initial -2 Log Likelihood: 88.943 b.
Classification Tablea,b
54 0 100.0
21 0 .0
72.0 Observed
Tidak terpilih Terpilih Kinerja
Overall Percentage Step 0
Tidak terpilih Terpilih
Kinerja Percentage Correct Predicted
Constant is included in the model. a.
The cut value is .500 b.
Variables in the Equation
-.944 .257 13.487 1 .000 .389
Constant Step 0
B S.E. Wald df Sig. Exp(B)
Variables not in the Equation
3.044 1 .081
.028 1 .867
1.637 1 .201
7.613 3 .055
pa ko paxko Variables
Overall Statistics Step
0
Score df Sig.
114
Iteration Historya,b,c,d
80.979 -43.420 11.630 9.645 -2.635 77.067 -98.336 26.248 22.357 -6.027 75.486 -162.282 42.897 37.278 -9.915 75.256 -195.678 51.443 45.019 -11.897 75.252 -200.431 52.652 46.118 -12.177 75.252 -200.504 52.671 46.134 -12.181 75.252 -200.504 52.671 46.134 -12.181 Iteration
likelihood Constant pa ko paxko
Coefficients
Method: Enter a.
Constant is included in the model. b.
Initial -2 Log Likelihood: 88.943 c.
Estimation terminated at iteration number 7 because parameter estimates changed by less than .001.
d.
Omnibus Tests of Model Coefficients
13.691 3 .003
13.691 3 .003
13.691 3 .003
Step Block Model Step 1
Chi-square df Sig.
Model Summary
75.252a .167 .240
Step 1
-2 Log likelihood
Cox & Snell R Square
Nagelkerke R Square
Estimation terminated at iteration number 7 because parameter estimates changed by less than .001. a.
Hosmer and Lemeshow Test
5.772 7 .567
Step 1
Contingency Table for Hosmer and Lemeshow Test
Observed Expected Kinerja = Tidak terpilih
Observed Expected Kinerja = Terpilih
Total
Classification Tablea
49 5 90.7
17 4 19.0
70.7 Observed
Tidak terpilih Terpilih Kinerja
Overall Percentage Step 1
Tidak terpilih Terpilih
Kinerja Percentage Correct Predicted
The cut value is .500 a.
Variables in the Equation
52.671 22.334 5.562 1 .018 7E+022 7312.245 8E+041
46.134 20.207 5.212 1 .022 1E+020 684.692 2E+037
-12.181 5.224 5.437 1 .020 .0000051 .000 .143
-200.504 86.436 5.381 1 .020 .000
pa
B S.E. Wald df Sig. Exp(B) Lower Upper
95.0% C.I.for EXP(B)
Variable(s) entered on step 1: pa, ko, paxko. a.
Correlation Matrix
1.000 -.998 -.999 .997
-.998 1.000 .998 -.999
-.999 .998 1.000 -.998
.997 -.999 -.998 1.000
Constant
116
Logistic Regression Moderasi Otonomi Daerah
Case Processing Summary
75 100.0
0 .0
75 100.0
0 .0
75 100.0
Unweighted Casesa
Included in Analysis Missing Cases Total
Selected Cases
Unselected Cases Total
N Percent
If weight is in effect, see classification table for the total number of cases.
a.
Dependent Variable Encoding
0 1 Original Value
Tidak terpilih Terpilih
Internal Value
Block 0: Beginning Block
Iteration Historya,b,c
89.006 -.880
88.943 -.944
88.943 -.944
Iteration
likelihood Constant Coefficients
Constant is included in the model. a.
Initial -2 Log Likelihood: 88.943 b.
Classification Tablea,b
54 0 100.0
21 0 .0
72.0 Observed
Tidak terpilih Terpilih Kinerja
Overall Percentage Step 0
Tidak terpilih Terpilih
Kinerja Percentage Correct Predicted
Constant is included in the model. a.
The cut value is .500 b.
Variables in the Equation
-.944 .257 13.487 1 .000 .389
Constant Step 0
B S.E. Wald df Sig. Exp(B)
Variables not in the Equation
3.044 1 .081
Overall Statistics Step
0
Score df Sig.
Block 1: Method = Enter
Iteration Historya,b,c,d
83.962 -3.543 .691 -2.357 .388
83.137 -5.190 1.082 -4.736 .939
83.109 -5.589 1.179 -5.489 1.120
83.109 -5.607 1.183 -5.526 1.129
83.109 -5.607 1.183 -5.526 1.129
Iteration
118
Omnibus Tests of Model Coefficients
5.834 3 .120
Chi-square df Sig.
Model Summary
83.109a .075 .108
Step 1
-2 Log likelihood
Cox & Snell R Square
Nagelkerke R Square
Estimation terminated at iteration number 5 because parameter estimates changed by less than .001. a.
Hosmer and Lemeshow Test
5.348 7 .618
Step 1
Chi-square df Sig.
Contingency Table for Hosmer and Lemeshow Test
8 7.447 0 .553 8
Observed Expected Kinerja = Tidak terpilih
Observed Expected Kinerja = Terpilih
Total
Classification Tablea
52 2 96.3
21 0 .0
69.3 Observed
Tidak terpilih Terpilih Kinerja
Overall Percentage Step 1
Tidak terpilih Terpilih
Kinerja Percentage Correct Predicted
Variables in the Equation
1.183 .680 3.027 1 .082 3.266 .861 12.388 -5.526 8.133 .462 1 .497 .004 .000 33336.615 1.129 2.055 .302 1 .583 3.093 .055 173.589 -5.607 2.688 4.349 1 .037 .004
pa otonom paxotonom Constant Step
1a
B S.E. Wald df Sig. Exp(B) Lower Upper 95.0% C.I.for EXP(B)
Variable(s) entered on step 1: pa, otonom, paxotonom. a.
Correlation Matrix
1.000 -.994 .502 -.493
-.994 1.000 -.490 .484
.502 -.490 1.000 -.995
-.493 .484 -.995 1.000
Constant pa otonom paxotonom Step
1