Results

Contingency Tables

Argument 'rows' contains 'Q_1_Sex' which is not present in the dataset

Contingency Tables
maleObserved1619170
 Expected15119.1170
 % within column47.5 %20.9 %44.5 %
femaleObserved17834212
 Expected18823.9212
 % within column52.5 %79.1 %55.5 %
TotalObserved33943382
 Expected33943.0382
 % within column100.0 %100.0 %100.0 %

 

χ² Tests
 Valuedfp
 

 

Contingency Tables

Argument 'cols' contains 'rec_palpitition' which is not present in the dataset

Contingency Tables
Non-useObserved16713180
 Expected162.617.43180.0
 % within column48.4 %35.1 %47.1 %
<=1 YearsObserved10910119
 Expected107.511.53119.0
 % within column31.6 %27.0 %31.2 %
>1 yearsObserved691483
 Expected75.08.0483.0
 % within column20.0 %37.8 %21.7 %
TotalObserved34537382
 Expected345.037.00382.0
 % within column100.0 %100.0 %100.0 %

 

χ² Tests
 Valuedfp
 

 

Binomial Logistic Regression

Model Fit Measures
Overall Model Test
ModelNχ²dfp
1....

 

Model Coefficients - …
95% Confidence Interval
PredictorEstimateSEZpOdds ratioLowerUpper
Intercept.......
Note. Estimates represent the log odds of …

 

Descriptives

Descriptives
 rec_owningageCP
N382
Missing0
Mean2.08
Median2.00
Standard deviation0.926
Minimum1
Maximum3

 

Frequencies

Frequencies of rec_owningageCP
rec_owningageCPCounts% of TotalCumulative %
CP at age 13-1514939.0 %39.0 %
CP at age 16-195313.9 %52.9 %
CP not having18047.1 %100.0 %

 

Binomial Logistic Regression

Table$setRow(): value 'est' is not atomic

Model Fit Measures
ModelDevianceAICMcF
12332450.104

 

Model Coefficients - rec_slp
PredictorEstimateSEZp
Intercept-3.1930.373-8.563< .001
Rec_use_years:    
<=1 Years – Non-use0.5480.5221.0510.293
>1 years – Non-use1.2890.4692.7480.006
Rec_CP_use:    
4-5 hrs – <=3 hrs0.2980.4940.6030.546
>=6 hrs – <=3 hrs1.2160.4142.9340.003
rec_owningageCP:    
CP at age 16-19 – CP at age 13-150.2000.5270.3800.704
CP not having – CP at age 13-15....
Note. Estimates represent the log odds of "rec_slp = Present" vs. "rec_slp = Absent"