A potential weakness of quantitative methods is the intrusive nature o
f testing in general, and pretesting specifically. The Solomon four-gr
oup design ameliorates this difficulty, but because of statistical iss
ues there are few published examples. W. Braver and Braver (1988) sugg
ested the use of meta-analytic Stouffer's Z to combine the data from a
ll four groups. Sawilowsky and Markman (1990a, 1990b, 1990c, 1990d) an
d Braver and W. Braver (1990a, 1990b) exchanged differing opinions on
this approach. The present study is a Monte Carlo demonstration that t
he experiment-wise error rate inflates nearly triple nominal alpha. Ho
wever, when not conducted as conditional tests, traditional procedures
are more powerful than this meta-analytic approach, despite the abili
ty of Stouffer's Z to combine all available data into a single statist
ic.