I have a model with 3 fixed factors (type, stress, MorD) and two significant two-way interactions (type*stress, stress*MorD). x$summary # Estimate Std.Error DF t.value pvals ci950 ci990 ci999 #(Intercept) 241.738 8.757 994 27.606 0e+00 TRUE TRUE TRUE #typePsPr -26.516 5.905 994 -4.490 1e-05 TRUE TRUE TRUE #stressPN -21.820 1.776 994 -12.284 0e+00 TRUE TRUE TRUE #MorDMis -26.588 5.905 994 -4.503 1e-05 TRUE TRUE TRUE #typePsPr:stressPN 13.904 2.051 994 6.779 0e+00 TRUE TRUE TRUE #stressPN:MorDMis 9.168 2.051 994 4.470 1e-05 TRUE TRUE TRUE I would like to find out more about the type*stress interaction, e.g. how the levels of type differ between stress. More specifically I want to find a t-value for the pairwise comparisons: typePr:stressN vs. typePsPr:stressN typePr:stressPN vs. typePsPr:stressPN I can't do this with the summary table (above) as it always includes the factor MorD (mis/dis) in each pairwise comparison, i.e. it provides t-values for typePr:stressN:MorDmis and typePsPr:stressN:MorDmis typePr:stressN:MorDdis and typePsPr:stressN:MorDdis Is it possible to look at interaction of type*stress over MorD and NOT within MorDmis or MorDdis? Any advice would be greatly appreciated! Rachel Baker -- -------------------------------------------------------------------------- PhD student Dept of Linguistics Sidgwick Avenue University of Cambridge Cambridge