Displaying 1 result from an estimated 1 matches for "b_jx_ij".
2010 Oct 18
0
specifying lme function with a priori hypothesis concerning between-group variation in slopes
...case of a single group. The model is: Y_i= a +bX_i +
error where I indexes the different values of X and Y in this group . The
a priori hypothesis of the slope is: b=K. This is easily tested with a
t-test (b-K=0).
Now imagine that there are j groups. For each group j the model is: Y_ij=
a_j + b_jX_ij + error. Both the intercepts (a) and the slopes (b) are
allowed to vary between groups. The a priori (null) hypothesis of interest
involved the between-group values of the slopes and is: b_j=Kj where Kj is
specified a priori for each group j based on theoretical considerations but
whose values d...