A common analysis strategy for such studies is to separately analyze each condition in turn, then compare the “significant” results among conditions. Although appealingly simple, this “condition-by-condition” approach is unsatisfactory in several ways: it under-represents sharing of effects among conditions because shared effects will be insignificant in some conditions by chance, and it misses the power gains that come from sharing information across conditions5.
