I'm trying to analyze growth data from chicks, and I need to perform the equivalent of a 2-way ANOVA (2x2 design, unequal sample sizes), but my data are heavily skewed with heterogeneous variances, and transformation, which I avoid when possible, isn't helping.
I've searched for alternative, robust or non-parametric 2-way ANOVAs, but the only recommendation I can find is Friedmans (no good, since I don't have repeated-measures data) or rank-transform, which leaves me with data so kurtotic it's funny to look at.
In this forum, I just found this thread while searching for a way to deal with my data. I've had experience using generalized linear models with binomial, poisson and proportional data, but can anyone guide me to how might I use it with continuous data that I don't know what the underlying distribution is?
Thanks from a frustrated grad student for any pointers!
I've searched for alternative, robust or non-parametric 2-way ANOVAs, but the only recommendation I can find is Friedmans (no good, since I don't have repeated-measures data) or rank-transform, which leaves me with data so kurtotic it's funny to look at.
In this forum, I just found this thread while searching for a way to deal with my data. I've had experience using generalized linear models with binomial, poisson and proportional data, but can anyone guide me to how might I use it with continuous data that I don't know what the underlying distribution is?
Thanks from a frustrated grad student for any pointers!