elevant information that can be used to assess precision.
For example, confidence intervals should be informed of the presence
of within-subject design, of the fact that the sample is random or clustered,
of whether the population is finite or infinite, etc.</p>
<p>Would you do a t-test on independent groups when you know that the data
are paired? Of course, not! Why use the classic "stand-alone" confidence interval then?
These classic confidence intervals are oblivious to most relevant information.</p>
<p>