I am working on my dissertation proposal and have run into a snag in the analyses section. I am trying to analyze data drawn from two time-points. I would like to determine whether changes in one variable from time 1 to time 2 will be positively related to changes in a second variable from time 1 to time 2, even after controlling for changes in a third variable from time 1 to time 2. (All variables are continuous.)

My research advisor has suggested that I use a multiple regression, but I am unsure of how one would do this without first computing the three change scores (which my committee doesn't want me to do). My first thought was that I would need to conduct some type of time series analysis to see the relationship between the changing values.

I was hoping that someone could advise me regarding whether I can conduct the analyses as a regression using the original six values, or if I shoud be using another type of analysis instead (and if so, could point me in the right direction).

Thank you in advance for any assistance you can provide!