spss infeksi
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Transcript of spss infeksi
CROSSTABS
/TABLES=InfeksiBYStatus_Gizi
/FORMAT=AVALUETABLES
/STATISTICS=RISKCMH(1)
/CELLS=COUNT
/COUNTROUNDCELL.
Crosstabs
Notes
Output Created
14-Apr-2015 12:10:48
Comments
Input
Active Dataset
DataSet0
Filter
Weight
Split File
N of Rows in Working Data File
31
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=Infeksi BY Status_Gizi
/FORMAT=AVALUE TABLES
/STATISTICS=RISK CMH(1)
/CELLS=COUNT
/COUNT ROUND CELL.
Resources
Processor Time
00:00:00.031
Elapsed Time
00:00:00.015
Dimensions Requested
2
Cells Available
174762
[DataSet0]
Case Processing Summary
Cases
Valid
Missing
Total
N
Percent
N
Percent
N
Percent
Infeksi * Status_Gizi
30
96.8%
1
3.2%
31
100.0%
Infeksi * Status_Gizi Crosstabulation
Count
Status_Gizi
Total
buruk
baik
Infeksi
tidak
1
2
3
Ya
11
16
27
Total
12
18
30
Risk Estimate
Value
95% Confidence Interval
Lower
Upper
Odds Ratio for Infeksi (tidak / Ya)
.727
.059
9.041
For cohort Status_Gizi = buruk
.818
.155
4.319
For cohort Status_Gizi = baik
1.125
.476
2.656
N of Valid Cases
30
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
.062
1
.804
Mantel-Haenszel
.134
1
.714
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
.727
ln(Estimate)
-.318
Std. Error of ln(Estimate)
1.286
Asymp. Sig. (2-sided)
.804
Asymp. 95% Confidence Interval
Common Odds Ratio
Lower Bound
.059
Upper Bound
9.041
ln(Common Odds Ratio)
Lower Bound
-2.839
Upper Bound
2.202
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.
