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Output Hasil

Crosstabs

Notes

Output Created 18-MEI-2013 12:28:24

Comments

Input Data C:\Users\hp\Desktop\Hasil.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data File 156

Missing Value Handling

Definition of Missing User-defined missing values are treated as missing.

Cases Used Statistics for each table are based on all the cases with valid data in the specified range(s) for all variables in each table.

Syntax CROSSTABS

/TABLES=Umur Paritas Hipertensi Anemia Berat_lahir gemeli

Persalinan_tindakan Persalinan_lama BY Kelompok

/FORMAT= AVALUE TABLES

/STATISTIC=CHISQ RISK

/CELLS= COUNT ROW

/COUNT ROUND CELL

Resources Elapsed Time 0:00:00,01

Dimensions Requested 2

Cells Available 174876

Processor Time 0:00:00,00

(6)

Case Processing Summary

Umur * Kelompok

Crosstab

Kelompok Total Kasus kontrol kasus

b 0 cells (,0%) have expected count less than 5. The minimum expected count is 18,08.

Risk Estimate

Value 95% Confidence Interval

(7)

Odds Ratio for Umur (< 20 tahun dan > 35

tahun / 20 - 35 tahun) 3,546 1,737 7,239 For cohort Kelompok =

kasus 2,029 1,395 2,951 For cohort Kelompok =

kontrol ,572 ,396 ,826 N of Valid Cases 156

Paritas * Kelompok

Crosstab

Kelompok Total kasus kontrol kasus Paritas Nullipara dan

Grandemultipara

b 0 cells (,0%) have expected count less than 5. The minimum expected count is 28,85.

Risk Estimate

Value 95% Confidence Interval

Lower Upper Lower Odds Ratio for Paritas

(Nullipara dan Grandemultipara / Primipara dan Multipara)

3,486 1,768 6,872

For cohort Kelompok =

kasus 2,160 1,398 3,338 For cohort Kelompok =

(8)

Hipertensi * Kelompok

Crosstab

Kelompok Total Kasus kontrol kasus Hipertensi ya Count 12 14 26

% within Hipertensi 46,2% 53,8% 100,0%

tidak Count 48 82 130

% within Hipertensi 36,9% 63,1% 100,0%

Total Count 60 96 156

% within Hipertensi 38,5% 61,5% 100,0%

Chi-Square Tests

Value df

Asymp. Sig. (2-sided)

Exact Sig. (2-sided)

Exact Sig. (1-sided) Pearson Chi-Square ,780(b) 1 ,377 Continuity

Correction(a) ,439 1 ,508

Likelihood Ratio ,768 1 ,381 Fisher's Exact Test ,386 ,252 Linear-by-Linear

Association ,775 1 ,379

N of Valid Cases 156

a Computed only for a 2x2 table

b 0 cells (,0%) have expected count less than 5. The minimum expected count is 10,00.

Risk Estimate

Value 95% Confidence Interval

Lower Upper Lower Odds Ratio for

Hipertensi (ya / tidak) 1,464 ,626 3,424 For cohort Kelompok =

kasus 1,250 ,780 2,004 For cohort Kelompok =

(9)

Anemia * Kelompok

Crosstab

Kelompok Total kasus kontrol kasus

Anemia ya Count 11 4 15

% within Anemia 73,3% 26,7% 100,0% tidak Count 49 92 141 % within Anemia 34,8% 65,2% 100,0%

Total Count 60 96 156

% within Anemia 38,5% 61,5% 100,0%

Chi-Square Tests

Value df

Asymp. Sig. (2-sided)

Exact Sig. (2-sided)

Exact Sig. (1-sided) Pearson Chi-Square 8,527(b) 1 ,004 Continuity

Correction(a) 6,974 1 ,008 Likelihood Ratio 8,339 1 ,004 Fisher's Exact Test ,005 ,005 Linear-by-Linear

Association 8,472 1 ,004

N of Valid Cases 156

a Computed only for a 2x2 table

b 0 cells (,0%) have expected count less than 5. The minimum expected count is 5,77.

Risk Estimate

Value 95% Confidence Interval

Lower Upper Lower Odds Ratio for

Anemia (ya / tidak) 5,163 1,562 17,069 For cohort Kelompok

= kasus 2,110 1,443 3,085 For cohort Kelompok

(10)

Berat_lahir * Kelompok

Crosstab

Kelompok Total kasus kontrol kasus

b 0 cells (,0%) have expected count less than 5. The minimum expected count is 12,31.

Risk Estimate

Value 95% Confidence Interval

Lower Upper Lower Odds Ratio for

Berat_lahir (BBLR (<2500 gr) / BB Normal (=>2500 gr))

3,500 1,559 7,857

For cohort Kelompok =

kasus 1,938 1,338 2,806 For cohort Kelompok =

(11)

gemeli * Kelompok

Crosstab

Kelompok Total kasus kontrol kasus

gemeli ya Count 3 2 5

% within gemeli 60,0% 40,0% 100,0% tidak Count 57 94 151 % within gemeli 37,7% 62,3% 100,0%

Total Count 60 96 156

% within gemeli 38,5% 61,5% 100,0%

Chi-Square Tests

Value df

Asymp. Sig. (2-sided)

Exact Sig. (2-sided)

Exact Sig. (1-sided) Pearson Chi-Square 1,012(b) 1 ,314 Continuity

Correction(a) ,291 1 ,590

Likelihood Ratio ,978 1 ,323 Fisher's Exact Test ,373 ,289 Linear-by-Linear

Association 1,006 1 ,316

N of Valid Cases 156

a Computed only for a 2x2 table

b 2 cells (50,0%) have expected count less than 5. The minimum expected count is 1,92.

Risk Estimate

Value 95% Confidence Interval

Lower Upper Lower Odds Ratio for

gemeli (ya / tidak) 2,474 ,401 15,255 For cohort Kelompok

= kasus 1,589 ,755 3,346 For cohort Kelompok

(12)

Persalinan_tindakan * Kelompok

Crosstab

Kelompok Total kasus kontrol kasus Persalinan_tindakan ya Count 28 39 67

% within

Persalinan_tindakan 41,8% 58,2% 100,0%

tidak Count 32 57 89

% within

Persalinan_tindakan 36,0% 64,0% 100,0%

Total Count 60 96 156

% within

Persalinan_tindakan 38,5% 61,5% 100,0%

Chi-Square Tests

b 0 cells (,0%) have expected count less than 5. The minimum expected count is 25,77.

Risk Estimate

Value 95% Confidence Interval

Lower Upper Lower Odds Ratio for

Persalinan_tindakan

(ya / tidak) 1,279 ,667 2,451 For cohort Kelompok =

kasus 1,162 ,782 1,727 For cohort Kelompok =

(13)

Persalinan_lama * Kelompok

Crosstab

Kelompok Total kasus kontrol kasus Persalinan_lama ya Count 6 12 18

% within

Persalinan_lama 33,3% 66,7% 100,0% tidak Count 54 84 138

% within

Persalinan_lama 39,1% 60,9% 100,0%

Total Count 60 96 156

% within

Persalinan_lama 38,5% 61,5% 100,0%

Chi-Square Tests

b 0 cells (,0%) have expected count less than 5. The minimum expected count is 6,92.

Risk Estimate

Value 95% Confidence Interval

Lower Upper Lower Odds Ratio for

Persalinan_lama (ya

/ tidak) ,778 ,275 2,196 For cohort Kelompok

= kasus ,852 ,429 1,691 For cohort Kelompok

(14)

LOGISTIC REGRESSION VARIABLES Kelompok

/METHOD = ENTER Umur Paritas Anemia Berat_lahir

/CRITERIA = PIN(.05) POUT(.10) ITERATE(20) CUT(.5) .

LOGISTIC REGRESSION VARIABLES Kelompok

/METHOD = ENTER Umur Paritas Anemia Berat_lahir

/PRINT = CI(95)

/CRITERIA = PIN(.05) POUT(.10) ITERATE(20) CUT(.5) .

Logistic Regression

Notes

Output Created 18-MEI-2013 12:30:18

Comments

Input Data C:\Users\hp\Desktop\Hasil.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data File

156

Missing Value Handling

Definition of Missing User-defined missing values are treated as missing

Syntax LOGISTIC REGRESSION VARIABLES Kelompok

/METHOD = ENTER Umur Paritas Anemia Berat_lahir

/PRINT = CI(95)

/CRITERIA = PIN(.05) POUT(.10) ITERATE(20) CUT(.5) .

Resources Elapsed Time 0:00:00,01

Processor Time 0:00:00,02

(15)

Case Processing Summary

Unweighted Cases(a) N Percent Selected Cases Included in Analysis 156 100,0

Missing Cases 0 ,0

Total 156 100,0

Unselected Cases 0 ,0

Total 156 100,0

a If weight is in effect, see classification table for the total number of cases.

Dependent Variable Encoding

Original Value Internal Value

kasus 0

kontrol 1

Block 0: Beginning Block

Classification Table(a,b)

Observed

Predicted

Kelompok

Percentage Correct

kasus kontrol kasus

Step 0 Kelompok Kasus 0 60 ,0

Kontrol 0 96 100,0

Overall Percentage 61,5

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) Lower Upper Lower Upper Lower Upper Step 0 Constant ,470 ,165 8,156 1 ,004 1,600

Variables not in the Equation

Score df Sig.

(16)

Block 1: Method = Enter

Omnibus Tests of Model Coefficients

Chi-square df Sig.

a Estimation terminated at iteration number 4 because parameter estimates changed by less than ,001.

Classification Table(a)

Variables in the Equation

B S.E. Wald df Sig. Exp(B) 95,0% C.I.for EXP(B) a Variable(s) entered on step 1: Umur, Paritas, Anemia, Berat_lahir.

LOGISTIC REGRESSION VARIABLES Kelompok

/METHOD = ENTER Umur Paritas Berat_lahir

/PRINT = CI(95)

(17)

Logistic Regression

Notes

Output Created 20-JUL-2013 12:30:46

Comments

Input Data C:\Users\hp\Desktop\Hasil.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data File

156

Missing Value Handling

Definition of Missing User-defined missing values are treated as missing

Syntax LOGISTIC REGRESSION VARIABLES Kelompok

/METHOD = ENTER Umur Paritas Berat_lahir

/PRINT = CI(95)

/CRITERIA = PIN(.05) POUT(.10) ITERATE(20) CUT(.5) .

Resources Elapsed Time 0:00:00,01

Processor Time 0:00:00,00

[DataSet1] C:\Users\hp\Desktop\Hasil.sav

Case Processing Summary

Unweighted Cases(a) N Percent Selected Cases Included in Analysis 156 100,0

Missing Cases 0 ,0

Total 156 100,0

Unselected Cases 0 ,0

Total 156 100,0

a If weight is in effect, see classification table for the total number of cases.

Dependent Variable Encoding

Original Value Internal Value

kasus 0

(18)

Block 0: Beginning Block

Classification Table(a,b)

Observed

Predicted

Kelompok

Percentage Correct

kasus kontrol kasus

Step 0 Kelompok kasus 0 60 ,0

kontrol 0 96 100,0

Overall Percentage 61,5

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) Lower Upper Lower Upper Lower Upper Step 0 Constant ,470 ,165 8,156 1 ,004 1,600

Variables not in the Equation

Score df Sig.

Step 0 Variables Umur 12,668 1 ,000 Paritas 13,498 1 ,000 Berat_lahir 9,829 1 ,002 Overall Statistics 27,951 3 ,000

Block 1: Method = Enter

Omnibus Tests of Model Coefficients

Chi-square df Sig. Step 1 Step 29,309 3 ,000

Block 29,309 3 ,000 Model 29,309 3 ,000

Model Summary

Step

-2 Log likelihood

Cox & Snell R Square

Nagelkerke R Square 1 178,570(a) ,171 ,233

(19)

Classification Table(a)

Observed

Predicted

Kelompok

Percentage Correct

kasus kontrol kasus Step 1 Kelompok kasus 28 32 46,7

kontrol 14 82 85,4

Overall Percentage 70,5

a The cut value is ,500

Variables in the Equation

B S.E. Wald df Sig. Exp(B) 95,0% C.I.for EXP(B)

Lower

Upp

er Lower Upper Lower Upper Lower Upper Step

1(a)

Umur

(20)
(21)

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