Statistical graphics are indispensable to good scientific research. This ar
ticle highlights effective graphical methods for (a) screening and cleaning
data, (b) exploring and identifying models, and (c) displaying data in cou
nseling psychology publications. The motivating principle for this presenta
tion is that graphs are not ancillary to scientific publications. They are
essential and, in some cases, sufficient expositions of results.