  We repeat the directional spherical real Morlet wavelet analysis used to
detect non-Gaussianity in the WMAP 1-year data (McEwen et al. 2005a), on the
WMAP 3-year data. The non-Gaussian signal previously detected is indeed present
in the 3-year data, although the significance of the detection is reduced.
Using our most conservative method for constructing significance measures, we
find the significance of the detection of non-Gaussianity drops from
98.3+/-0.4% to 94.9+/-0.7%; the significance drops from 99.3+/-0.3% to
97.2+/-0.5% using a method based on the $\chi^2$ statistic. The wavelet
analysis allows us to localise most likely sources of non-Gaussianity on the
sky. We detect very similar localised regions in the WMAP 1-year and 3-year
data, although the regions extracted appear more pronounced in the 3-year data.
When all localised regions are excluded from the analysis the 3-year data is
consistent with Gaussianity.
