What is your dependent variable? How is is it measured? How many legitimate values does it have?
Are you primarily interested in an interaction effect, e.g, a difference in changes for experimental vs control (or other comparison group)?
Do you have random assignment to treatment?
Are your factors between or within subjects?
On the metric of your DV(s) what size difference (change?) would make a theory/policy/practice difference? This asks about meaningful differences not just whether or not observed difference are attributable to chance variation. In psychology this last is known as the "
So what test" which needs to be applied if the differences are found to be "statistically significant".
Art Kendall
Social Research Consultants