Hello. I have taken day to day repeated measures in number of predictor variables as well as some other ordinal dvs. I want to meaure the effect of inter/intra variability of the predictors upon my dvs. What kind of analysis would you suggest me to use?
Thanks for the reply. I want to specify some things regarding my analysis. As I said I have some repeated like-diary measures which I consider level-1 predictors and can be nested into some other baseline measures I took at the beginning which I consider as level-2 predictors.So what i'll do is firstly identify the within-person fluctuations in an Intercept-only Model (Unconditional Model) and then keep adding factors in my model till i reach to an interaction between level-1 and level-2 factors model? Do you know if hierachical level modeling on spss requires any addon? Thanks!
I intend to use hierarchical level modeling to assess the interactions between some outcome and predictor variables in a repeated measures data-many observations across time per individual. However, I have almost 20 different predictor variables and i I can’t I can’t fit them all into the models, so I plan on using PCA or factor analysis to reduce the number of variables. After this step, do I have to use the factor scores as predictors in the hierarchical level models?