My manipulation was to reverse the order of test presentation. (i.e. group 1, "type" --> "opinion"; group 2, "opinion" -->"type")

The dependent variable is the score on "opinion" (scores range from 8-56).

The independent variable was the order in which they received the test. (1,2)

A 2x2 ANOVA or t-test comparing the means on "opinions" for main effect of test order does the trick so far, but...

The "type" test gave subjects scores in 3 different "types". My intention was to use these scores to divide the subjects into three different groups (i.e. "type" A, B, C) which would become my quasi-independent variable.

My plan was to run a 3 (type) x 2 (test order) ANOVA.

Unfortunately, when I got my data, "type" did not clearly split into three groups. Some scored low in all three, others high in two or three types, etc. My ANOVA sprouted into a messy patchwork of ad hoc group assignments and became desperately unworkable.

What I want to do is a statistical analysis that will allow me to look at the 3 "type" variables as continuous variables (the mean score in each type) and consider their statistical weight, and also take into account test order as it effects my "opinion" score DV.

*i.e. Subject #1 - "type" A = 1, B = 4, C = 7. This would weight the score of C (7) heavier than B (4) and both C & B as heavier than A (1), thereby giving this subject a C "tendency." So, the question becomes "how well does this C, B, A weighted tendency, taken together with receiving the "opinion" test first (or second), predict his score on the "opinion" test?"*

I first thought multiple regression, which I could see working for how "type" effects "opinion" score, but I don't see how test order could be considered in a multiple regression analysis (which is, after all, the real manipulation, and crux of the study). Could I somehow use a "dummy variable" to code test order?

I also thought maybe logistic regression, to maybe see how "type" and "opinion" test score predicted test order (i.e. 1 or 2), but...that seems backasswards, and frankly I don't understand LR well enough to be sure.

I'm baffled and my adviser is stumped. Trying to figure this out using my stats book feels like I'm reliving The Davinci Code. ANY input or suggestion would be cherished forever and ever by all of humanity, no hyperbole intended.

And thanks for reading this incredibly long and boring post.