I am exploring power/sample size and confidence intervals for 
differences in proportions (paired samples) using the software that comes 
with Altman et al (2000) CIA and DSTPlan.

Changing the proportions in CIA with a sample sizes of 30 and 70 suggests 
that the Confidence level approach to determining Statistical significance 
is very sensitive ie CI range not including zero. Even with the smaller 
sample size a change in proportions of .1 is considered statistically 
significant at the 0.1 level. I was in fact surprised at how sensitive 
this was and played around with several proportions and effect sizes just 
to confirm these findings

However, using DSTPlan with the routine for detecting the difference 
between two proportions with permanent sampling units suggests that my 
sample size of 70 has a power of only 55% to detect a 10% change at the 
0.1 significance level and the smaller sample has a power of only 17%. 

The minimum sample size to detect my 10% change at a significance level of 
0.1 is 134.

These results seem some what contradictory, and obviously there is 
something I am not grasping in what I am doing.

Can anyone make any suggestions as to what I am doing wrong and possibly 
point me towards some reading or web sites.

Many thanks,

Graham S

 





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