In this paper we investigate the asymptotic critical value behaviour of cer
tain multiple decision procedures as e.g. simultaneous confidence intervals
and simultaneous as well as stepwise multiple test procedures. Supposing t
hat n hypotheses or parameters of interest are under consideration we inves
tigate the critical value behaviour when n increases. More specifically, we
answer e.g. the question by which amount the lengths of confidence interva
ls increase when an additional parameter is added to the statistical analys
is. Furthermore, critical values of different multiple decision procedures
as for instance step-down and step-up procedures will be compared. Some gen
eral theoretic results are derived and applied for various distributions.