CROSSTABS/TABLES=PendidikanBYStatus_Gizi/FORMAT=AVALUETABLES/STATISTICS=RISKCMH(1)/CELLS=COUNT/COUNTROUNDCELL.
Crosstabs
NotesOutput Created14-Apr-2015 16:07:54Comments
InputActive DatasetDataSet0
Filter
Weight
Split File
N of Rows in Working Data File30Missing Value HandlingDefinition
of MissingUser-defined missing values are treated as missing.
Cases UsedStatistics for each table are based on all the cases
with valid data in the specified range(s) for all variables in each
table.SyntaxCROSSTABS /TABLES=Pendidikan BY Status_Gizi
/FORMAT=AVALUE TABLES /STATISTICS=RISK CMH(1) /CELLS=COUNT /COUNT
ROUND CELL.
ResourcesProcessor Time00:00:00.015
Elapsed Time00:00:00.016
Dimensions Requested2
Cells Available174762
[DataSet0]
Case Processing Summary
Cases
ValidMissingTotal
NPercentNPercentNPercentPendidikan *
Status_Gizi30100.0%0.0%30100.0%
Pendidikan * Status_Gizi CrosstabulationCount
Status_GiziTotal
BurukBaik
PendidikanRendah(9tahun)41519Total121830
Risk Estimate
Value95% Confidence Interval
LowerUpperOdds Ratio for Pendidikan
(Rendah(9tahun))10.0001.78156.150For cohort Status_Gizi =
Buruk3.4551.3458.870For cohort Status_Gizi = Baik.345.128.932N of
Valid Cases30
Tests of Homogeneity of the Odds Ratio
Chi-SquareddfAsymp. Sig.
(2-sided)Breslow-Day.0000.Tarone's.0000.
Tests of Conditional Independence
Chi-SquareddfAsymp. Sig.
(2-sided)Cochran's7.7511.005Mantel-Haenszel5.5561.018Under 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
EstimateEstimate10.000ln(Estimate)2.303Std. Error of
ln(Estimate).880Asymp. Sig. (2-sided).009Asymp. 95% Confidence
IntervalCommon Odds RatioLower Bound1.781
Upper Bound56.150
ln(Common Odds Ratio)Lower Bound.577
Upper Bound4.028The 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.
