Greetings to any SPSS geniuses out there in ecoland: Im currently working my MS thesis, and need help on how to proceed with my analysis in SPSS:
I took samples once a month for four months. I have two locations with the same experimental design. Each location has four treatments (control, low, med, high), not randomly assigned. Each of the four treatments is made of three plots. Samples were taken from 3 randomly placed quadrats within each plot. Heres what I think is going on: three factor mixed model ANOVA Month is a factor (fixed, not repeated measure!) Location is a factor (fixed) Treatment is a factor nested in location (random) Quadrats are my replicates Like any eco-data, I have unequal sample sizes (not all replicates were captured every month) y = month + location + treatment(location) + month*location + month*treatment(location) + location*treatment(location) + month*location*treatment(location) 1. Should I use the general linear model or the mixed linear model? a. GLM wont let me use type III SS, lets me use type I SS. Then I found via google that GLM isnt best for nested designs, a mixed linear model. But I have **NO IDEA** how to enter everything in to the mixed model dialog boxes. PLEASE HELP! b. What about type IV SS? 2. How do I enter all of the interaction terms when using a nested model? Please have pity on me, as Ive already spent too much time trying to figure this out on my own!!! Sincerely, Pamela Archer
