Lampiran : 1
PERNYATAAN KESEDIAAN MENJADI RESPONDEN
Saya yang bertandatangan dibawah ini:
Nama
: ……….
Umur
: ……….
Alamat
: ……….
Setelah mendapatkan penjelasan tentang penelitian ini maka saya menyatakan
bersedia berpartisipasi menjadi subjek dalam penelitian yang akan dilakukan oleh
saudari
Julianti Aisyah
mengenai
“Determinan Kejadian Preeklampsi
Berat/Eklampsi di RSUD Dr. Pirngadi Medan Tahun 2013”
.
Saya menyadari sepenuhnya bahwa penelitian ini sangat bermanfaat untuk
kepentingan ilmiah, indentitas responden digunakan hanya untuk keperluan penelitian
dan akan dijaga kerahasiaannya.
Demikian pernyataan ini dibuat dengan sukarela tanpa ada paksaan dari pihak
manapun agar dapat dipergunakan sesuai keperluan.
Medan, ……….2013
Peneliti
Responden
Lampiran 2.
KUESIONER
DETERMINAN KEJADIAN PREEKLAMPSI BERAT/EKLAMPSIA
DI RSUD Dr. PIRNGADI MEDAN
TAHUN 2013
STATUS RESPONDEN : KASUS / KONTROL
Nomor kuesioner
:……….
Tanggal wawancara :……….
Petunjuk :
a.
Isi jawaban responden pada kolom yang tersedia dengan pilihan Yang Sesuai
b.
Isi garis titik – titik sesuai jawaban responden
DATA RESPONDEN
A.1.
Nama
:
A.2.
Alamat
:
A.3.
Usia
:
A.4.
Pekerjaan
:
A.5.
Pendidikan terakhir
:.
A.6.
Jumlah anggota keluarga
:
A.7.
Kenaikan BB selama Hamil :
A.8.
Tinggi Badan
:
A.
PENGETAHUAN IBU
No.
Pernyataan
Pilihan Jawaban
Ya
Tidak
1
Hipertensi dalam kehamilan selalu muncul pada
triwulan kehamilan I (3 bulan kehamilan
pertama)
2
Untuk mendeteksi dini hipertensi dalam
kehamilan dengan melakukan timbang berat
badan dan ukur tinggi badan
3
Penambahan berat badan ideal pada ibu hamil
adalah 12-16 kg
4
Gejala hipertensi dalam kehamilan adalah
menjadi lebih sering mengkonsumsi makanan
dalam jumlah besar
5
Untuk menurunkan tekanan darah pada masa
kehamilan dengan mengonsumsi vitamin C dan
garam beryodium
6
Pencegahan hipertensi dalam kehamilan dengan
cukup istirahat
7
Preeklampsi merupakan penyakit dengan tanda
khas yaitu meningkatnya kadar gula darah.
8
Preeklampsi adalah timbulnya hipertensi disertai
protein dalam urine.
9
Preeklampsi adalah penyakit yang terjadi pada
semua wanita hamil.
10
Preeklampsi biasa terjadi pada usia kehamilan
dibawah 20 minggu.
11
Penglihatan kabur, nyeri ulu hati dan
pembengkakan pada kaki, tangan dan wajah
merupakan gejala dari preeklampsi.
12
Preeklampsi tidak berpengaruh pada janin
13
Melakukan pemeriksaan rutin (ANC) dan
konsumsi tablet besi merupakan penanganan
preeklampsi.
14
Preeklampsi tidak memerlukan perhatian khusus
oleh tenaga kesahatan.
15
Eklampsi adalah kelanjutan dari preeklampsi
yang diikuti kejang dan koma
16
Tekanan darah
≥ 160mm/Hg dan protein dalam
urine bukan merupakan gejala eklampsi
Lanjutan Tabel A. PENGETAHUAN IBU
No.
Pernyataan
Pilihan Jawaban
Ya
Tidak
18
Ibu yang berusia dibawah 20 dan diatas 35 tahun
tahun berisiko mengalami eklampsi.
19
Pencegahan dari eklampsia adalah dengan
pemeriksaan rutin dan pengaturan pola makan
20
Eklampsia tidak akan menyebabkan perubahan
hati, ginjal, otak, jantung dan paru-paru
21
Eklampsia ditandai dengan gejala tangan
mengepal, pernafasan terhenti, kejang dan
akhirnya mulut berbusa
22
Eklampsia dapat dibagi menjadi tiga yaitu,
eklamsia pada saat hamil, persalinan dan pasca
persalinan.
23
Tekanan darah yang dianggap tinggi pada ibu
setelah melahirkan adalah >140/90
24
Antenatal care (asuhan kehamilan) adalah
asuhan untuk ibu hamil (sebelum persalinan).
25
Kunjungan kehamilan ke petugas kesehatan
sebaiknya dilakukan minimal 2 kali selama masa
kehamilan.
B. STATUS KESEHATAN
No
Pertanyaan
Pilihan Jawaban
b.1.
Apakah ibu memiliki riwayat
eklampsi/preeklampsi
b.2.
Apakah ibu memiliki riwayat penyakit salah satu
dibawah ini :
a.
Hipertensi
b.
Diabetes
c.
Jantung
d.
Ginjal
e.
Lainnya, sebutkan…..
1.
Ya 2. Tidak
C. STATUS REPRODUKSI
No
Pertanyaan
Jawaban
c.1
Berapa kali ibu pernah melahirkan, termasuk
kelahiran yang terakhir?
c.2
Berapa jarak antara kehamilan terakhir dengan
kehamilan sebelumnya?
………bulan / tahun.
Tgl/bln/thn : …/…/…
Persalinan terakhir
Tgl/bln/thn : …/…/…
Persalinan sebelumnya
D. AKSES DAN PEMANFAATAN PELAYANAN KESEHATAN
No
Pertanyaan
Jawaban
d. 1 Selama Kehamilan apakah ibu menjalani
Pemeriksaan
a.
Timbang berat badan ukur tinggi badan
b.
Ukur Tekanan Darah
c.
Ukur lingkar lengan atas
d.
Ukur tinggi fundus uteri
e.
Presentasi janin dan denyut jantung janin
(DJJ)
f.
Status imunisasi Tetanus dan pemberian
Imunisasi Tetanus Toxoid (TT)
g.
Pemberian Tablet tambah darah minimal 90
tablet selama kehamilan
h.
Test Laboratorium (rutin dan Khusus)
i.
Tata laksana kasus
j.
Temu wicara (konseling), termasuk
Perencanaan Persalinan dan Pencegahan
Komplikasi (P4K) serta KB pasca persalinan.
1.
Ya 2. Tidak
d.2
masalah yang dihadapi untuk mendapatkan
perawatan kesehatan atau pengobatan. Apakah
hal-hal berikut merupakan masalah atau tidak
a.
terlambat mengambil keputusan
b.
terlambat membawa ke fasilitas kesehatan
c.
terlambat mendapat pelayanan pelayanan
kesehatan
Bukan masalah Masalah
d.3
Berapa kali ibu memeriksakan kandungan
selama masa kehamilan?
Kunjungan I :
Kunjungan II :
Kunjungan III :
Kunjungan IV :
Kunjungan Berikutnya :
1.
< 4 kali
2.
≥ 4 kali
Lampiran 3.
JADWAL PENELITIAN
No. Kegiatan
2013
2014
Jan Feb Mar Apr Mei Jun Jul
Agt
Sept Okt Nov Des Jan
Feb
1.
Pengajuan
Judul
2.
Survei
Pendahuluan
3.
Pencarian
Literatur
4.
Penulisan
Proposal
5. Kolokium
6.
Perbaikan
Proposal
7.
Pengumpulan
Data
8.
Analisis Data
dan
Penulisan
Tesis
9.
Seminar
Tesis
10. Ujian Tesis
11.
Perbaikan
Tesis
Lampiran 5
HASIL UJI UNIVARIAT
FREQUENCIES VARIABLES=a2 a3 b1 b2 b3 b4 c1 c2 d1 d2 d3 IV
/ORDER=ANALYSIS.
Frequencies
[DataSet1] C:\Users\ACER\Desktop\.sav
Frequency Table
Jumlah pendapatan rata-rata perbulan
Frequency Percent Valid Percent
Cumulative Percent Valid tinggi 33 45.8 45.8 45.8 rendah 39 54.2 54.2 100.0 Total 72 100.0 100.0 Pengetahuan
Frequency Percent Valid Percent
Cumulative Percent Valid baik 28 38.9 38.9 38.9 kurang 44 61.1 61.1 100.0 Total 72 100.0 100.0 BMI
Frequency Percent Valid Percent
Cumulative Percent Valid </25 33 45.8 45.8 45.8 >25 39 54.2 54.2 100.0 Total 72 100.0 100.0 Riwayat Preeklampsi/eklampsi
Frequency Percent Valid Percent
Cumulative Percent
Valid tidak ada riwayat 35 48.6 48.6 48.6
ada riwayat 37 51.4 51.4 100.0
Total 72 100.0 100.0
Riwayat hipertensi
Frequency Percent Valid Percent
Cumulative Percent
Valid ada riwayat 25 34.7 34.7 34.7
Riwayat diabetes
Frequenc
y Percent Valid Percent
Cumulative Percent
Valid tidak ada 55 76.4 76.4 76.4
ada riwayat diabetes 17 23.6 23.6 100.0
Total 72 100.0 100.0
Paritas
Frequency Percent Valid Percent
Cumulative Percent
Valid 2 dan 3 51 70.8 70.8 70.8
1 dan >/4 21 29.2 29.2 100.0
Total 72 100.0 100.0
Jarak antar kehamilan
Frequency Percent Valid Percent
Cumulative Percent
Valid >/2 tahun 38 52.8 52.8 52.8
<2 tahun 34 47.2 47.2 100.0
Total 72 100.0 100.0
Pelayanan ANC yang didapat
Frequency Percent
Valid Percent
Cumulative Percent
Valid memenuhi kriteria 10 T 8 11.1 11.1 11.1
tidak memenuhi kriteria 10T 64 88.9 88.9 100.0
Total 72 100.0 100.0
Masalah dalam mendapatkan pelayanan kesehatan
Frequency Percent Valid Percent
Cumulative Percent
Valid tidak ada masalah 28 38.9 38.9 38.9
ada masalah 44 61.1 61.1 100.0
Jumlah Kunjungan ANC
Frequency Percent Valid Percent
Cumulative Percent Valid >/4 kali 27 37.5 37.5 37.5 <4 kali 45 62.5 62.5 100.0 Total 72 100.0 100.0 Kasus Kontrol
Frequency Percent Valid Percent
Cumulative Percent
Valid Kontrol 36 50.0 50.0 50.0
Kasus 36 50.0 50.0 100.0
Lampiran 6
HASIL UJI BIVARIAT
CROSSTABS
/TABLES=a2 a3 b1 b2 b3 b4 c1 c2 d1 d2 d3 BY IV
/FORMAT=AVALUE TABLES
/STATISTICS=CHISQ CMH(1)
/CELLS=COUNT COLUMN
/COUNT ROUND CELL.
Crosstabs
[DataSet1] C:\Users\ACER\Desktop\.sav
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
Jumla pendapatan rata-rata perbulan * Kasus Kontrol
72 100.0% 0 .0% 72 100.0%
Pengetahuan * Kasus Kontrol
72 100.0% 0 .0% 72 100.0%
IMB * Kasus Kontrol 72 100.0% 0 .0% 72 100.0%
Riwayat
Preeklampsi/eklampsi * Kasus Kontrol
72 100.0% 0 .0% 72 100.0%
Riwayat hipertensi * Kasus Kontrol
72 100.0% 0 .0% 72 100.0%
Riwayat diabetes * Kasus Kontrol
72 100.0% 0 .0% 72 100.0%
Paritas * Kasus Kontrol 72 100.0% 0 .0% 72 100.0%
Jarak antar kehamilan * Kasus Kontrol
72 100.0% 0 .0% 72 100.0%
Pelayanan ANC yang didapat * Kasus Kontrol
72 100.0% 0 .0% 72 100.0%
Masalah dalam
mendapatkan pelayanan kesehatan * Kasus Kontrol
72 100.0% 0 .0% 72 100.0%
Jumlah Kunjungan ANC * Kasus Kontrol
72 100.0% 0 .0% 72 100.0%
Jumlah pendapatan rata-rata perbulan * Kasus Kontrol
Crosstab Kasus Kontrol Total Kontrol Kasus Jumla pendapatan rata-rata perbulan tinggi Count 19 14 33% within Kasus Kontrol 52.8% 38.9% 45.8%
rendah Count 17 22 39
% within Kasus Kontrol 47.2% 61.1% 54.2%
Total Count 36 36 72
Chi-Square Tests Value df Asymp. Sig. (2-sided) Exact Sig. (2-sided) Exact Sig. (1-sided) Pearson Chi-Square 1.399a 1 .237 Continuity Correctionb .895 1 .344 Likelihood Ratio 1.403 1 .236
Fisher's Exact Test .344 .172
Linear-by-Linear Association 1.379 1 .240
N of Valid Cases 72
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 16.50. b. Computed only for a 2x2 table
Tests of Homogeneity of the Odds Ratio
Chi-Squared df
Asymp. Sig. (2-sided)
Breslow-Day .000 0 .
Tarone's .000 0 .
Tests of Conditional Independence
Chi-Squared df
Asymp. Sig. (2-sided)
Cochran's 1.399 1 .237
Mantel-Haenszel .883 1 .347
Under the conditional independence assumption, Cochran's statistic is asymptotically distributed as a 1 df chi-squared distribution, only if the number of strata is fixed, while the Mantel-Haenszel statistic is always asymptotically distributed as a 1 df chi-squared distribution. Note that the continuity correction is removed from the Mantel-Haenszel statistic when the sum of the differences between the observed and the expected is 0.
Mantel-Haenszel Common Odds Ratio Estimate
Estimate 1.216
ln(Estimate) .563
Std. Error of ln(Estimate) .478
Asymp. Sig. (2-sided) .239
Asymp. 95% Confidence Interval
Common Odds Ratio Lower Bound .688
Upper Bound 4.481
ln(Common Odds Ratio) Lower Bound -.373
Upper Bound 1.500
The Mantel-Haenszel common odds ratio estimate is asymptotically normally distributed under the common odds ratio of 1.000 assumption. So is the natural log of the estimate.
Pengetahuan * Kasus Kontrol
CrosstabKasus Kontrol
Total
Kontrol Kasus
Pengetahuan baik Count 21 7 28
% within Kasus Kontrol 58.3% 19.4% 38.9%
kurang Count 15 29 44
% within Kasus Kontrol 41.7% 80.6% 61.1%
Total Count 36 36 72
% within Kasus Kontrol 100.0% 100.0% 100.0%
Chi-Square Tests Value df Asymp. Sig. (2-sided) Exact Sig. (2-sided) Exact Sig. (1-sided) Pearson Chi-Square 11.455a 1 .001 Continuity Correctionb 9.877 1 .002 Likelihood Ratio 11.858 1 .001
Fisher's Exact Test .001 .001
Linear-by-Linear Association 11.295 1 .001
N of Valid Cases 72
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 14.00. b. Computed only for a 2x2 table
Tests of Homogeneity of the Odds Ratio
Chi-Squared df
Asymp. Sig. (2-sided)
Breslow-Day .000 0 .
Tarone's .000 0 .
Tests of Conditional Independence
Chi-Squared df
Asymp. Sig. (2-sided)
Cochran's 11.455 1 .001
Mantel-Haenszel 9.739 1 .002
Under the conditional independence assumption, Cochran's statistic is asymptotically distributed as a 1 df chi-squared distribution, only if the number of strata is fixed, while the Mantel-Haenszel statistic is always asymptotically distributed as a 1 df chi-squared distribution. Note that the continuity correction is removed from the Mantel-Haenszel statistic when the sum of the differences between the observed and the expected is 0.
Mantel-Haenszel Common Odds Ratio Estimate
Estimate 2.140
ln(Estimate) 1.758
Std. Error of ln(Estimate) .540
Asymp. Sig. (2-sided) .001
Asymp. 95% Confidence Interval
Common Odds Ratio Lower Bound 2.013
Upper Bound 16.715
ln(Common Odds Ratio) Lower Bound .699
Upper Bound 2.816
The Mantel-Haenszel common odds ratio estimate is asymptotically normally distributed under the common odds ratio of 1.000 assumption. So is the natural log of the estimate.
IMB * Kasus Kontrol
Crosstab
Kasus Kontrol
Total
Kontrol Kasus
IMB </25 Count 22 11 33
% within Kasus Kontrol 61.1% 30.6% 45.8%
>25 Count 14 25 39
% within Kasus Kontrol 38.9% 69.4% 54.2%
Total Count 36 36 72
% within Kasus Kontrol 100.0% 100.0% 100.0%
Chi-Square Tests Value df Asymp. Sig. (2-sided) Exact Sig. (2-sided) Exact Sig. (1-sided) Pearson Chi-Square 6.769a 1 .009 Continuity Correctionb 5.594 1 .018 Likelihood Ratio 6.883 1 .009
Fisher's Exact Test .017 .009
Linear-by-Linear Association 6.675 1 .010
N of Valid Cases 72
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 16.50. b. Computed only for a 2x2 table
Tests of Homogeneity of the Odds Ratio
Chi-Squared df
Asymp. Sig. (2-sided)
Breslow-Day .000 0 .
Tests of Conditional Independence Chi-Squared df Asymp. Sig. (2-sided) Cochran's 6.769 1 .009 Mantel-Haenszel 5.517 1 .019
Under the conditional independence assumption, Cochran's statistic is asymptotically distributed as a 1 df chi-squared distribution, only if the number of strata is fixed, while the Mantel-Haenszel statistic is always asymptotically distributed as a 1 df chi-squared distribution. Note that the continuity correction is removed from the Mantel-Haenszel statistic when the sum of the differences between the observed and the expected is 0.
Mantel-Haenszel Common Odds Ratio Estimate
Estimate 1.271
ln(Estimate) 1.273
Std. Error of ln(Estimate) .498
Asymp. Sig. (2-sided) .011
Asymp. 95% Confidence Interval
Common Odds Ratio Lower Bound 1.046
Upper Bound 9.475
ln(Common Odds Ratio) Lower Bound .297
Upper Bound 2.249
The Mantel-Haenszel common odds ratio estimate is asymptotically normally distributed under the common odds ratio of 1.000 assumption. So is the natural log of the estimate.
Riwayat Preeklampsi/eklampsi * Kasus Kontrol
Crosstab Kasus Kontrol Total Kontrol Kasus Riwayat Preeklampsi/ekla mpsitidak ada riwayat Count 26 9 35
% within Kasus Kontrol 72.2% 25.0% 48.6%
ada riwayat Count 10 27 37
% within Kasus Kontrol 27.8% 75.0% 51.4%
Total Count 36 36 72
% within Kasus Kontrol 100.0% 100.0% 100.0%
Chi-Square Tests Value df Asymp. Sig. (2-sided) Exact Sig. (2-sided) Exact Sig. (1-sided) Pearson Chi-Square 16.068a 1 .000 Continuity Correctionb 14.233 1 .000 Likelihood Ratio 16.729 1 .000
Fisher's Exact Test .000 .000
Linear-by-Linear Association 15.845 1 .000
N of Valid Cases 72
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 17.50. b. Computed only for a 2x2 table
Tests of Homogeneity of the Odds Ratio Chi-Squared df Asymp. Sig. (2-sided) Breslow-Day .000 0 . Tarone's .000 0 .
Tests of Conditional Independence
Chi-Squared df
Asymp. Sig. (2-sided)
Cochran's 16.068 1 .000
Mantel-Haenszel 14.036 1 .000
Under the conditional independence assumption, Cochran's statistic is asymptotically distributed as a 1 df chi-squared distribution, only if the number of strata is fixed, while the Mantel-Haenszel statistic is always asymptotically distributed as a 1 df chi-squared distribution. Note that the continuity correction is removed from the Mantel-Haenszel statistic when the sum of the differences between the observed and the expected is 0.
Mantel-Haenszel Common Odds Ratio Estimate
Estimate 1.100
ln(Estimate) 2.054
Std. Error of ln(Estimate) .535
Asymp. Sig. (2-sided) .000
Asymp. 95% Confidence Interval
Common Odds Ratio Lower Bound 1.031
Upper Bound 22.274
ln(Common Odds Ratio) Lower Bound 1.005
Upper Bound 3.103
The Mantel-Haenszel common odds ratio estimate is asymptotically normally distributed under the common odds ratio of 1.000 assumption. So is the natural log of the estimate.
Riwayat hipertensi * Kasus Kontrol
Crosstab Kasus Kontrol Total Kontrol Kasus Riwayat hipertensiada riwayat Count 17 8 25
% within Kasus Kontrol 47.2% 22.2% 34.7%
ada riwayat hipertensi Count 19 28 47
% within Kasus Kontrol 52.8% 77.8% 65.3%
Total Count 36 36 72
Chi-Square Tests Value df Asymp. Sig. (2-sided) Exact Sig. (2-sided) Exact Sig. (1-sided) Pearson Chi-Square 4.963a 1 .026 Continuity Correctionb 3.922 1 .048 Likelihood Ratio 5.048 1 .025
Fisher's Exact Test .047 .023
Linear-by-Linear Association 4.894 1 .027
N of Valid Cases 72
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 12.50. b. Computed only for a 2x2 table
Tests of Homogeneity of the Odds Ratio
Chi-Squared df
Asymp. Sig. (2-sided)
Breslow-Day .000 0 .
Tarone's .000 0 .
Tests of Conditional Independence
Chi-Squared df
Asymp. Sig. (2-sided)
Cochran's 4.963 1 .026
Mantel-Haenszel 3.867 1 .049
Under the conditional independence assumption, Cochran's statistic is asymptotically distributed as a 1 df chi-squared distribution, only if the number of strata is fixed, while the Mantel-Haenszel statistic is always asymptotically distributed as a 1 df chi-squared distribution. Note that the continuity correction is removed from the Mantel-Haenszel statistic when the sum of the differences between the observed and the expected is 0.
Mantel-Haenszel Common Odds Ratio Estimate
Estimate 2.372
ln(Estimate) 1.142
Std. Error of ln(Estimate) .522
Asymp. Sig. (2-sided) .029
Asymp. 95% Confidence Interval
Common Odds Ratio Lower Bound 1.126
Upper Bound 8.706
ln(Common Odds Ratio) Lower Bound .119
Upper Bound 2.164
The Mantel-Haenszel common odds ratio estimate is asymptotically normally distributed under the common odds ratio of 1.000 assumption. So is the natural log of the estimate.
Riwayat diabetes * Kasus Kontrol
Crosstab Kasus Kontrol Total Kontrol Kasus Riwayat diabetestidak ada Count 30 25 55
% within Kasus Kontrol 83.3% 69.4% 76.4%
ada riwayat diabetes
Count 6 11 17
% within Kasus Kontrol 16.7% 30.6% 23.6%
Total Count 36 36 72
% within Kasus Kontrol 100.0% 100.0% 100.0%
Chi-Square Tests Value df Asymp. Sig. (2-sided) Exact Sig. (2-sided) Exact Sig. (1-sided) Pearson Chi-Square 1.925a 1 .165 Continuity Correctionb 1.232 1 .267 Likelihood Ratio 1.948 1 .163
Fisher's Exact Test .267 .133
Linear-by-Linear Association 1.898 1 .168
N of Valid Cases 72
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 8.50. b. Computed only for a 2x2 table
Tests of Homogeneity of the Odds Ratio
Chi-Squared df
Asymp. Sig. (2-sided)
Breslow-Day .000 0 .
Tarone's .000 0 .
Tests of Conditional Independence
Chi-Squared df
Asymp. Sig. (2-sided)
Cochran's 1.925 1 .165
Mantel-Haenszel 1.215 1 .270
Under the conditional independence assumption, Cochran's statistic is asymptotically distributed as a 1 df chi-squared distribution, only if the number of strata is fixed, while the Mantel-Haenszel statistic is always asymptotically distributed as a 1 df chi-squared distribution. Note that the continuity correction is removed from the Mantel-Haenszel statistic when the sum of the differences between the observed and the expected is 0.
Mantel-Haenszel Common Odds Ratio Estimate
Estimate 0.240
ln(Estimate) .788
Std. Error of ln(Estimate) .575
Asymp. Sig. (2-sided) .170
Asymp. 95% Confidence Interval
Common Odds Ratio Lower Bound .112
Upper Bound 6.793
ln(Common Odds Ratio) Lower Bound -.339
Upper Bound 1.916
The Mantel-Haenszel common odds ratio estimate is asymptotically normally distributed under the common odds ratio of 1.000 assumption. So is the natural log of the estimate.
Paritas * Kasus Kontrol
Crosstab
Kasus Kontrol
Total
Kontrol Kasus
Paritas 2 dan 3 Count 27 24 51
% within Kasus Kontrol 75.0% 66.7% 70.8%
1 dan >/4 Count 9 12 21
% within Kasus Kontrol 25.0% 33.3% 29.2%
Total Count 36 36 72
% within Kasus Kontrol 100.0% 100.0% 100.0%
Chi-Square Tests Value df Asymp. Sig. (2-sided) Exact Sig. (2-sided) Exact Sig. (1-sided) Pearson Chi-Square .605a 1 .437 Continuity Correctionb .269 1 .604 Likelihood Ratio .607 1 .436
Fisher's Exact Test .605 .302
Linear-by-Linear Association .597 1 .440
N of Valid Cases 72
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 10.50. b. Computed only for a 2x2 table
Tests of Homogeneity of the Odds Ratio
Chi-Squared df
Asymp. Sig. (2-sided)
Breslow-Day .000 0 .
Tests of Conditional Independence Chi-Squared df Asymp. Sig. (2-sided) Cochran's .605 1 .437 Mantel-Haenszel .265 1 .607
Under the conditional independence assumption, Cochran's statistic is asymptotically distributed as a 1 df chi-squared distribution, only if the number of strata is fixed, while the Mantel-Haenszel statistic is always asymptotically distributed as a 1 df chi-squared distribution. Note that the continuity correction is removed from the Mantel-Haenszel statistic when the sum of the differences between the observed and the expected is 0.
Mantel-Haenszel Common Odds Ratio Estimate
Estimate .375
ln(Estimate) .405
Std. Error of ln(Estimate) .523
Asymp. Sig. (2-sided) .438
Asymp. 95% Confidence Interval
Common Odds Ratio Lower Bound .139
Upper Bound 4.178
ln(Common Odds Ratio) Lower Bound -.619
Upper Bound 1.430
The Mantel-Haenszel common odds ratio estimate is asymptotically normally distributed under the common odds ratio of 1.000 assumption. So is the natural log of the estimate.
Jarak antar kehamilan * Kasus Kontrol
Crosstab Kasus Kontrol Total Kontrol Kasus Jarak antar kehamilan >/2 tahun Count 22 16 38% within Kasus Kontrol 61.1% 44.4% 52.8%
<2 tahun Count 14 20 34
% within Kasus Kontrol 38.9% 55.6% 47.2%
Total Count 36 36 72
Chi-Square Tests Value df Asymp. Sig. (2-sided) Exact Sig. (2-sided) Exact Sig. (1-sided) Pearson Chi-Square 2.006a 1 .157 Continuity Correctionb 1.393 1 .238 Likelihood Ratio 2.016 1 .156
Fisher's Exact Test .238 .119
Linear-by-Linear Association 1.978 1 .160
N of Valid Cases 72
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 17.00. b. Computed only for a 2x2 table
Tests of Homogeneity of the Odds Ratio
Chi-Squared Df
Asymp. Sig. (2-sided)
Breslow-Day .000 0 .
Tarone's .000 0 .
Tests of Conditional Independence
Chi-Squared df
Asymp. Sig. (2-sided)
Cochran's 2.006 1 .157
Mantel-Haenszel 1.374 1 .241
Under the conditional independence assumption, Cochran's statistic is asymptotically distributed as a 1 df chi-squared distribution, only if the number of strata is fixed, while the Mantel-Haenszel statistic is always asymptotically distributed as a 1 df chi-squared distribution. Note that the continuity correction is removed from the Mantel-Haenszel statistic when the sum of the differences between the observed and the expected is 0.
Mantel-Haenszel Common Odds Ratio Estimate
Estimate .854
ln(Estimate) .675
Std. Error of ln(Estimate) .479
Asymp. Sig. (2-sided) .159
Asymp. 95% Confidence Interval
Common Odds Ratio Lower Bound .768
Upper Bound 5.022
ln(Common Odds Ratio) Lower Bound -.264
Upper Bound 1.614
The Mantel-Haenszel common odds ratio estimate is asymptotically normally distributed under the common odds ratio of 1.000 assumption. So is the natural log of the estimate.
Pelayanan ANC yang didapat * Kasus Kontrol
Crosstab Kasus Kontrol Total Kontrol Kasus Pelayanan ANC yang didapat memenuhi kriteria 10 T Count 6 2 8% within Kasus Kontrol 16.7% 5.6% 11.1%
tidak memenuhi kriteria 10T
Count 30 34 64
% within Kasus Kontrol 83.3% 94.4% 88.9%
Total Count 36 36 72
% within Kasus Kontrol 100.0% 100.0% 100.0%
Chi-Square Tests Value df Asymp. Sig. (2-sided) Exact Sig. (2-sided) Exact Sig. (1-sided) Pearson Chi-Square 2.250a 1 .134 Continuity Correctionb 1.266 1 .261 Likelihood Ratio 2.343 1 .126
Fisher's Exact Test .260 .130
Linear-by-Linear Association 2.219 1 .136
N of Valid Cases 72
a. 2 cells (50.0%) have expected count less than 5. The minimum expected count is 4.00. b. Computed only for a 2x2 table
Tests of Homogeneity of the Odds Ratio
Chi-Squared df
Asymp. Sig. (2-sided)
Breslow-Day .000 0 .
Tarone's .000 0 .
Tests of Conditional Independence
Chi-Squared df
Asymp. Sig. (2-sided)
Cochran's 2.250 1 .134
Mantel-Haenszel 1.248 1 .264
Under the conditional independence assumption, Cochran's statistic is asymptotically distributed as a 1 df chi-squared distribution, only if the number of strata is fixed, while the Mantel-Haenszel statistic is always asymptotically distributed as a 1 df chi-squared distribution. Note that the continuity correction is removed from the Mantel-Haenszel statistic when the sum of the differences between the observed and the expected is 0.
Mantel-Haenszel Common Odds Ratio Estimate
Estimate 15.000
ln(Estimate) 1.224
Std. Error of ln(Estimate) .854
Asymp. Sig. (2-sided) .152
Asymp. 95% Confidence Interval
Common Odds Ratio Lower Bound .638
Upper Bound 18.132
ln(Common Odds Ratio) Lower Bound -.450
Upper Bound 2.898
The Mantel-Haenszel common odds ratio estimate is asymptotically normally distributed under the common odds ratio of 1.000 assumption. So is the natural log of the estimate.
Masalah dalam mendapatkan pelayanan kesehatan * Kasus
Kontrol
Crosstab Kasus Kontrol Total Kontrol Kasus Masalah dalam mendapatkan pelayanan kesehatan tidak ada masalah Count 21 7 28% within Kasus Kontrol 58.3% 19.4% 38.9%
ada masalah Count 15 29 44
% within Kasus Kontrol 41.7% 80.6% 61.1%
Total Count 36 36 72
% within Kasus Kontrol 100.0% 100.0% 100.0%
Chi-Square Tests Value df Asymp. Sig. (2-sided) Exact Sig. (2-sided) Exact Sig. (1-sided) Pearson Chi-Square 11.455a 1 .001 Continuity Correctionb 9.877 1 .002 Likelihood Ratio 11.858 1 .001
Fisher's Exact Test .001 .001
Linear-by-Linear Association 11.295 1 .001
N of Valid Cases 72
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 14.00. b. Computed only for a 2x2 table
Tests of Homogeneity of the Odds Ratio
Chi-Squared df
Asymp. Sig. (2-sided)
Breslow-Day .000 0 .
Tests of Conditional Independence Chi-Squared df Asymp. Sig. (2-sided) Cochran's 11.455 1 .001 Mantel-Haenszel 9.739 1 .002
Under the conditional independence assumption, Cochran's statistic is asymptotically distributed as a 1 df chi-squared distribution, only if the number of strata is fixed, while the Mantel-Haenszel statistic is always asymptotically distributed as a 1 df chi-squared distribution. Note that the continuity correction is removed from the Mantel-Haenszel statistic when the sum of the differences between the observed and the expected is 0.
Mantel-Haenszel Common Odds Ratio Estimate
Estimate 2.140
ln(Estimate) 1.758
Std. Error of ln(Estimate) .540
Asymp. Sig. (2-sided) .001
Asymp. 95% Confidence Interval
Common Odds Ratio Lower Bound 2.013
Upper Bound 16.715
ln(Common Odds Ratio) Lower Bound .699
Upper Bound 2.816
The Mantel-Haenszel common odds ratio estimate is asymptotically normally distributed under the common odds ratio of 1.000 assumption. So is the natural log of the estimate.
Jumlah Kunjungan ANC * Kasus Kontrol
CrosstabKasus Kontrol
Total
Kontrol Kasus
Jumlah Kunjungan ANC >/4 kali Count 23 4 27
% within Kasus Kontrol 63.9% 11.1% 37.5%
<4 kali Count 13 32 45
% within Kasus Kontrol 36.1% 88.9% 62.5%
Total Count 36 36 72
Chi-Square Tests Value df Asymp. Sig. (2-sided) Exact Sig. (2-sided) Exact Sig. (1-sided) Pearson Chi-Square 21.393a 1 .000 Continuity Correctionb 19.200 1 .000 Likelihood Ratio 23.057 1 .000
Fisher's Exact Test .000 .000
Linear-by-Linear Association 21.095 1 .000
N of Valid Cases 72
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 13.50. b. Computed only for a 2x2 table
Tests of Homogeneity of the Odds Ratio
Chi-Squared df
Asymp. Sig. (2-sided)
Breslow-Day .000 0 .
Tarone's .000 0 .
Tests of Conditional Independence
Chi-Squared df
Asymp. Sig. (2-sided)
Cochran's 21.393 1 .000
Mantel-Haenszel 18.933 1 .000
Under the conditional independence assumption, Cochran's statistic is asymptotically distributed as a 1 df chi-squared distribution, only if the number of strata is fixed, while the Mantel-Haenszel statistic is always asymptotically distributed as a 1 df chi-squared distribution. Note that the continuity correction is removed from the Mantel-Haenszel statistic when the sum of the differences between the observed and the expected is 0.
Mantel-Haenszel Common Odds Ratio Estimate
Estimate 3.254
ln(Estimate) 2.650
Std. Error of ln(Estimate) .634
Asymp. Sig. (2-sided) .000
Asymp. 95% Confidence Interval
Common Odds Ratio Lower Bound 3.087
Upper Bound 49.015
ln(Common Odds Ratio) Lower Bound 1.408
Upper Bound 3.892
The Mantel-Haenszel common odds ratio estimate is asymptotically normally distributed under the common odds ratio of 1.000 assumption. So is the natural log of the estimate.
Lampiran 7.
HASIL UJI MULTIVARIAT
LOGISTIC REGRESSION VARIABLES IV
/METHOD=ENTER a2 a3 b1 b2 b3 b4 c2 d1 d2 d3
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Case Processing Summary
Unweighted Casesa N Percent
Selected Cases Included in Analysis 72 100.0
Missing Cases 0 .0
Total 72 100.0
Unselected Cases 0 .0
Total 72 100.0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original Value Internal Value
Kontrol 0
Kasus 1
Block 0: Beginning Block
Classification Tablea,b
Observed Predicted Kasus Kontrol Percentage Correct Kontrol Kasus
Step 0 Kasus Kontrol Kontrol 0 36 .0
Kasus 0 36 100.0
Overall Percentage 50.0
a. Constant is included in the model. b. The cut value is .500
Variables in the Equation
B S.E. Wald df Sig. Exp(B)
Variables not in the Equation Score df Sig. Step 0 Variables a2 1.399 1 .237 a3 11.455 1 .001 b1 6.769 1 .009 b2 16.068 1 .000 b3 4.963 1 .026 b4 1.925 1 .165 c2 2.006 1 .157 d1 2.250 1 .134 d2 11.455 1 .001 d3 35.405 1 .000 Overall Statistics 50.174 10 .000
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square df Sig.
Step 1 Step 80.945 10 .000
Block 80.945 10 .000
Model 80.945 10 .000
Model Summary
Step -2 Log likelihood
Cox & Snell R Square
Nagelkerke R Square
1 18.869a .675 .900
a. Estimation terminated at iteration number 20 because maximum iterations has been reached. Final solution cannot be found. Classification Tablea Observed Predicted Kasus Kontrol Percentage Correct Kontrol Kasus
Step 1 Kasus Kontrol Kontrol 34 2 94.4
Kasus 2 34 94.4
Overall Percentage 94.4
Variables in the Equation
B S.E. Wald df Sig. Exp(B)
95% C.I.for EXP(B) Lower Upper Step 1a a2 -16.010 2205.907 .000 1 .994 .000 .000 . a3 1.297 1.540 .709 1 .400 3.658 .179 74.886 b1 15.864 2205.908 .000 1 .994 7759362.067 .000 . b2 79.153 7439.757 .000 1 .992 2.376E34 .000 . b3 17.467 6339.529 .000 1 .998 38534422.405 .000 . b4 46.439 7285.776 .000 1 .995 1.473E20 .000 . c2 1.061 1.415 .562 1 .453 2.889 .180 46.293 d1 61.201 6347.324 .000 1 .992 3.795E26 .000 . d2 1.729 1.512 1.308 1 .253 5.633 .291 108.972 d3 80.257 7439.756 .000 1 .991 7.167E34 .000 . Constant -160.075 14710.716 .000 1 .991 .000
a. Variable(s) entered on step 1: a2, a3, b1, b2, b3, b4, c2, d1, d2, d3.
LOGISTIC REGRESSION VARIABLES IV
/METHOD=ENTER a2 a3 b1 b2 b4 c2 d1 d2 d3
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
[DataSet1] C:\Users\ACER\Desktop\02 februari 2;39.sav
Case Processing Summary
Unweighted Casesa N Percent
Selected Cases Included in Analysis 72 100.0
Missing Cases 0 .0
Total 72 100.0
Unselected Cases 0 .0
Total 72 100.0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original Value Internal Value
Kontrol 0
Block 0: Beginning Block
Classification Tablea,b
Observed Predicted Kasus Kontrol Percentage Correct Kontrol Kasus
Step 0 Kasus Kontrol Kontrol 0 36 .0
Kasus 0 36 100.0
Overall Percentage 50.0
a. Constant is included in the model. b. The cut value is .500
Variables in the Equation
B S.E. Wald df Sig. Exp(B)
Step 0 Constant .000 .236 .000 1 1.000 1.000
Variables not in the Equation
Score df Sig. Step 0 Variables a2 1.399 1 .237 a3 11.455 1 .001 b1 6.769 1 .009 b2 16.068 1 .000 b4 1.925 1 .165 c2 2.006 1 .157 d1 2.250 1 .134 d2 11.455 1 .001 d3 35.405 1 .000 Overall Statistics 49.565 9 .000
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square df Sig.
Step 1 Step 79.855 9 .000
Block 79.855 9 .000
Model 79.855 9 .000
Model Summary
Step -2 Log likelihood
Cox & Snell R Square
Nagelkerke R Square
1 19.958a .670 .894
a. Estimation terminated at iteration number 20 because maximum iterations has been reached. Final solution cannot be found.
Classification Tablea Observed Predicted Kasus Kontrol Percentage Correct Kontrol Kasus
Step 1 Kasus Kontrol Kontrol 34 2 94.4
Kasus 2 34 94.4
Overall Percentage 94.4
a. The cut value is .500
Variables in the Equation
B S.E. Wald df Sig. Exp(B)
95% C.I.for EXP(B) Lower Upper Step 1a a2 -16.280 2172.095 .000 1 .994 .000 .000 . a3 1.027 1.524 .454 1 .500 2.793 .141 55.409 b1 16.039 2172.095 .000 1 .994 9242695.883 .000 . b2 80.005 7563.812 .000 1 .992 5.570E34 .000 . b4 29.134 3514.721 .000 1 .993 4.496E12 .000 . c2 1.080 1.413 .584 1 .445 2.944 .185 46.915 d1 61.666 6294.072 .000 1 .992 6.044E26 .000 . d2 2.168 1.446 2.246 1 .134 8.738 .513 148.807 d3 81.161 7563.812 .000 1 .991 1.769E35 .000 . Constant -144.108 13268.657 .000 1 .991 .000
a. Variable(s) entered on step 1: a2, a3, b1, b2, b4, c2, d1, d2, d3.
LOGISTIC REGRESSION VARIABLES IV
/METHOD=ENTER a3 b1 b2 b4 c2 d1 d2 d3
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
[DataSet1] C:\Users\ACER\Desktop\02 februari 2;39.sav
Case Processing Summary
Unweighted Casesa N Percent
Selected Cases Included in Analysis 72 100.0
Missing Cases 0 .0
Total 72 100.0
Unselected Cases 0 .0
Total 72 100.0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original Value Internal Value
Kontrol 0
Block 0: Beginning Block
Classification Tablea,b
Observed Predicted Kasus Kontrol Percentage Correct Kontrol Kasus
Step 0 Kasus Kontrol Kontrol 0 36 .0
Kasus 0 36 100.0
Overall Percentage 50.0
a. Constant is included in the model. b. The cut value is .500
Variables in the Equation
B S.E. Wald df Sig. Exp(B)
Step 0 Constant .000 .236 .000 1 1.000 1.000
Variables not in the Equation
Score df Sig. Step 0 Variables a3 11.455 1 .001 b1 6.769 1 .009 b2 16.068 1 .000 b4 1.925 1 .165 c2 2.006 1 .157 d1 2.250 1 .134 d2 11.455 1 .001 d3 35.405 1 .000 Overall Statistics 49.563 8 .000
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square df Sig.
Step 1 Step 77.857 8 .000
Block 77.857 8 .000
Model 77.857 8 .000
Model Summary
Step -2 Log likelihood
Cox & Snell R Square
Nagelkerke R Square
1 21.956a .661 .881
a. Estimation terminated at iteration number 20 because maximum iterations has been reached. Final solution cannot be found.
Classification Tablea Observed Predicted Kasus Kontrol Percentage Correct Kontrol Kasus
Step 1 Kasus Kontrol Kontrol 33 3 91.7
Kasus 2 34 94.4
Overall Percentage 93.1
a. The cut value is .500
Variables in the Equation
B S.E. Wald df Sig. Exp(B)
95% C.I.for EXP(B) Lower Upper Step 1a a3 1.416 1.514 .874 1 .350 4.119 .212 80.047 b1 .032 1.397 .001 1 .982 1.032 .067 15.956 b2 52.450 7036.928 .000 1 .994 6.006E22 .000 . b4 17.525 3830.713 .000 1 .996 40837628.763 .000 . c2 1.120 1.391 .649 1 .421 3.065 .201 46.781 d1 33.640 5481.261 .000 1 .995 4.070E14 .000 . d2 1.868 1.413 1.747 1 .186 6.472 .406 103.185 d3 53.455 7036.928 .000 1 .994 1.642E23 .000 . Constant -88.909 11817.404 .000 1 .994 .000
a. Variable(s) entered on step 1: a3, b1, b2, b4, c2, d1, d2, d3.
LOGISTIC REGRESSION VARIABLES IV
/METHOD=ENTER a3 b1 b2 c2 d1 d2 d3
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
[DataSet1] C:\Users\ACER\Desktop\02 februari 2;39.sav
Case Processing Summary
Unweighted Casesa N Percent
Selected Cases Included in Analysis 72 100.0
Missing Cases 0 .0
Total 72 100.0
Unselected Cases 0 .0
Total 72 100.0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original Value Internal Value
Kontrol 0
Block 0: Beginning Block
Classification Tablea,b
Observed Predicted Kasus Kontrol Percentage Correct Kontrol Kasus
Step 0 Kasus Kontrol Kontrol 0 36 .0
Kasus 0 36 100.0
Overall Percentage 50.0
a. Constant is included in the model. b. The cut value is .500
Variables in the Equation
B S.E. Wald df Sig. Exp(B)
Step 0 Constant .000 .236 .000 1 1.000 1.000
Variables not in the Equation
Score df Sig. Step 0 Variables a3 11.455 1 .001 b1 6.769 1 .009 b2 16.068 1 .000 c2 2.006 1 .157 d1 2.250 1 .134 d2 11.455 1 .001 d3 35.405 1 .000 Overall Statistics 49.209 7 .000
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square df Sig.
Step 1 Step 74.979 7 .000
Block 74.979 7 .000
Model 74.979 7 .000
Model Summary
Step -2 Log likelihood
Cox & Snell R Square
Nagelkerke R Square
1 24.835a .647 .863
a. Estimation terminated at iteration number 20 because maximum iterations has been reached. Final solution cannot be found.
Classification Tablea Observed Predicted Kasus Kontrol Percentage Correct Kontrol Kasus
Step 1 Kasus Kontrol Kontrol 30 6 83.3
Kasus 2 34 94.4
Overall Percentage 88.9
a. The cut value is .500
Variables in the Equation
B S.E. Wald df Sig. Exp(B)
95% C.I.for EXP(B) Lower Upper Step 1a a3 1.359 1.136 1.431 1 .232 3.894 .420 36.098 b1 .777 1.240 .393 1 .531 2.176 .191 24.729 b2 37.283 6375.705 .000 1 .995 1.555E16 .000 . c2 1.088 1.193 .831 1 .362 2.968 .286 30.759 d1 18.811 4430.864 .000 1 .997 1.477E8 .000 . d2 1.863 1.144 2.650 1 .104 6.443 .684 60.704 d3 38.984 6375.705 .000 1 .995 8.518E16 .000 . Constant -59.294 9977.339 .000 1 .995 .000
a. Variable(s) entered on step 1: a3, b1, b2, c2, d1, d2, d3.
LOGISTIC REGRESSION VARIABLES IV
/METHOD=ENTER a3 b1 b2 c2 d2 d3
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
[DataSet1] C:\Users\ACER\Desktop\02 februari 2;39.sav
Case Processing Summary
Unweighted Casesa N Percent
Selected Cases Included in Analysis 72 100.0
Missing Cases 0 .0
Total 72 100.0
Unselected Cases 0 .0
Total 72 100.0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original Value Internal Value
Kontrol 0
Block 0: Beginning Block
Classification Tablea,b
Observed Predicted Kasus Kontrol Percentage Correct Kontrol Kasus
Step 0 Kasus Kontrol Kontrol 0 36 .0
Kasus 0 36 100.0
Overall Percentage 50.0
a. Constant is included in the model. b. The cut value is .500
Variables in the Equation
B S.E. Wald df Sig. Exp(B)
Step 0 Constant .000 .236 .000 1 1.000 1.000
Variables not in the Equation
Score df Sig. Step 0 Variables a3 11.455 1 .001 b1 6.769 1 .009 b2 16.068 1 .000 c2 2.006 1 .157 d2 11.455 1 .001 d3 35.405 1 .000 Overall Statistics 48.656 6 .000
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square df Sig.
Step 1 Step 70.367 6 .000
Block 70.367 6 .000
Model 70.367 6 .000
Model Summary
Step -2 Log likelihood
Cox & Snell R Square
Nagelkerke R Square
1 29.446a .624 .832
a. Estimation terminated at iteration number 20 because maximum iterations has been reached. Final solution cannot be found.
Classification Tablea Observed Predicted Kasus Kontrol Percentage Correct Kontrol Kasus
Step 1 Kasus Kontrol Kontrol 32 4 88.9
Kasus 3 33 91.7
Overall Percentage 90.3
a. The cut value is .500
Variables in the Equation
B S.E. Wald df Sig. Exp(B)
95% C.I.for EXP(B) Lower Upper Step 1a a3 1.653 1.036 2.547 1 .110 5.224 .686 39.782 b1 .359 1.174 .094 1 .760 1.432 .144 14.288 b2 20.089 5757.662 .000 1 .997 5.306E8 .000 . c2 .807 1.053 .588 1 .443 2.242 .285 17.659 d2 1.488 1.032 2.078 1 .149 4.429 .585 33.506 d3 22.006 5757.662 .000 1 .997 3.605E9 .000 . Constant -23.180 5757.662 .000 1 .997 .000
a. Variable(s) entered on step 1: a3, b1, b2, c2, d2, d3.
LOGISTIC REGRESSION VARIABLES IV
/METHOD=ENTER a3 b1 c2 d2 d3
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
[DataSet1] C:\Users\ACER\Desktop\02 februari 2;39.sav
Case Processing Summary
Unweighted Casesa N Percent
Selected Cases Included in Analysis 72 100.0
Missing Cases 0 .0
Total 72 100.0
Unselected Cases 0 .0
Total 72 100.0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original Value Internal Value
Kontrol 0
Block 0: Beginning Block
Classification Tablea,b
Observed Predicted Kasus Kontrol Percentage Correct Kontrol Kasus
Step 0 Kasus Kontrol Kontrol 0 36 .0
Kasus 0 36 100.0
Overall Percentage 50.0
a. Constant is included in the model. b. The cut value is .500
Variables in the Equation
B S.E. Wald df Sig. Exp(B)
Step 0 Constant .000 .236 .000 1 1.000 1.000
Variables not in the Equation
Score df Sig. Step 0 Variables a3 11.455 1 .001 b1 6.769 1 .009 c2 2.006 1 .157 d2 11.455 1 .001 d3 35.405 1 .000 Overall Statistics 44.034 5 .000
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square df Sig.
Step 1 Step 58.323 5 .000
Block 58.323 5 .000
Model 58.323 5 .000
Model Summary
Step -2 Log likelihood
Cox & Snell R Square
Nagelkerke R Square
1 41.490a .555 .740
a. Estimation terminated at iteration number 6 because parameter estimates changed by less than .001.
Classification Tablea Observed Predicted Kasus Kontrol Percentage Correct Kontrol Kasus
Step 1 Kasus Kontrol Kontrol 33 3 91.7
Kasus 6 30 83.3
Overall Percentage 87.5
a. The cut value is .500
Variables in the Equation
B S.E. Wald df Sig. Exp(B)
95% C.I.for EXP(B) Lower Upper Step 1a a3 1.788 .899 3.953 1 .047 5.979 1.026 34.849 b1 1.614 .924 3.050 1 .081 5.025 .821 30.760 c2 1.000 .838 1.425 1 .233 2.718 .526 14.034 d2 1.586 .846 3.515 1 .061 4.882 .931 25.610 d3 4.570 1.138 16.141 1 .000 96.559 10.388 897.564 Constant -5.069 1.315 14.848 1 .000 .006
a. Variable(s) entered on step 1: a3, b1, c2, d2, d3.
LOGISTIC REGRESSION VARIABLES IV
/METHOD=ENTER a3 b1 d2 d3
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
[DataSet1] C:\Users\ACER\Desktop\02 februari 2;39.sav
Case Processing Summary
Unweighted Casesa N Percent
Selected Cases Included in Analysis 72 100.0
Missing Cases 0 .0
Total 72 100.0
Unselected Cases 0 .0
Total 72 100.0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original Value Internal Value
Kontrol 0
Block 0: Beginning Block
Classification Tablea,b
Observed Predicted Kasus Kontrol Percentage Correct Kontrol Kasus
Step 0 Kasus Kontrol Kontrol 0 36 .0
Kasus 0 36 100.0
Overall Percentage 50.0
a. Constant is included in the model. b. The cut value is .500
Variables in the Equation
B S.E. Wald df Sig. Exp(B)
Step 0 Constant .000 .236 .000 1 1.000 1.000
Variables not in the Equation
Score df Sig. Step 0 Variables a3 11.455 1 .001 b1 6.769 1 .009 d2 11.455 1 .001 d3 35.405 1 .000 Overall Statistics 43.456 4 .000
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square df Sig.
Step 1 Step 56.818 4 .000
Block 56.818 4 .000
Model 56.818 4 .000
Model Summary
Step -2 Log likelihood
Cox & Snell R Square
Nagelkerke R Square
1 42.995a .546 .728
a. Estimation terminated at iteration number 6 because parameter estimates changed by less than .001.
Classification Tablea Observed Predicted Kasus Kontrol Percentage Correct Kontrol Kasus
Step 1 Kasus Kontrol Kontrol 33 3 91.7
Kasus 5 31 86.1
Overall Percentage 88.9
a. The cut value is .500
Variables in the Equation
B S.E. Wald df Sig. Exp(B)
95% C.I.for EXP(B) Lower Upper Step 1a a3 1.825 .888 4.219 1 .040 6.201 1.087 35.363 b1 1.743 .909 3.679 1 .055 5.714 .963 33.909 d2 1.567 .825 3.614 1 .057 4.795 .953 24.131 d3 4.418 1.114 15.719 1 .000 82.945 9.337 736.814 Constant -4.586 1.183 15.033 1 .000 .010
a. Variable(s) entered on step 1: a3, b1, d2, d3.
LOGISTIC REGRESSION VARIABLES IV
/METHOD=ENTER a3 b1 d3
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
[DataSet1] C:\Users\ACER\Desktop\02 februari 2;39.sav
Case Processing Summary
Unweighted Casesa N Percent
Selected Cases Included in Analysis 72 100.0
Missing Cases 0 .0
Total 72 100.0
Unselected Cases 0 .0
Total 72 100.0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original Value Internal Value
Kontrol 0
Block 0: Beginning Block
Classification Tablea,b
Observed Predicted Kasus Kontrol Percentage Correct Kontrol Kasus
Step 0 Kasus Kontrol Kontrol 0 36 .0
Kasus 0 36 100.0
Overall Percentage 50.0
a. Constant is included in the model. b. The cut value is .500
Variables in the Equation
B S.E. Wald df Sig. Exp(B)
Step 0 Constant .000 .236 .000 1 1.000 1.000
Variables not in the Equation
Score df Sig.
Step 0 Variables a3 11.455 1 .001
b1 6.769 1 .009
d3 35.405 1 .000
Overall Statistics 41.476 3 .000
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square df Sig.
Step 1 Step 52.835 3 .000
Block 52.835 3 .000
Model 52.835 3 .000
Model Summary
Step -2 Log likelihood
Cox & Snell R Square
Nagelkerke R Square
1 46.978a .520 .693
a. Estimation terminated at iteration number 6 because parameter estimates changed by less than .001.
Classification Tablea Observed Predicted Kasus Kontrol Percentage Correct Kontrol Kasus
Step 1 Kasus Kontrol Kontrol 33 3 91.7
Kasus 8 28 77.8
Overall Percentage 84.7
a. The cut value is .500
Variables in the Equation
B S.E. Wald df Sig. Exp(B)
95% C.I.for EXP(B) Lower Upper Step 1a a3 1.891 .857 4.870 1 .027 6.629 1.236 35.562 b1 1.788 .882 4.108 1 .043 5.980 1.061 33.712 d3 4.481 1.067 7.650 1 .000 14.320 10.919 74.403 Constant -3.705 .988 14.069 1 .000 .025
