I am working on an implementation of the cell means model for single factor ANOVA. I think this will be more effective in that this model can be used again in regression and calculated much more quickly then a typical least squares computation.
Some analysis I did on test score data was presented today and for the most part it went well. The one complaint I had is that at the end of the presentation the facilitator stood up and reminded everyone that these are "just numbers" He went on to express how simple it is to pervert data into any result you desire. While the perversion aspect is certainly true, I have a hard time believing that the information will be taken seriously when presented as just numbers.
This is a commen theme, people rely heavily on the analysis I give them, with little or no thought to the theory that is behind it. I suppose some people go around ignoring multicollinearity and serial correlation but I am not one of them.