Do you have any resources on random crossed effects? E.g. in psycholinguistic research where you have 2 random factors: participants and word items, word items are then classified according to word features and these features effect participants response time. This doesn't seem like a classic nested data structure nor a cross-classified structure.
Is it possible to apply Multilevel models when data set consists of 3 IVs of categorical nature and 1 or more continuous DVs ?.......... My data set consists of 3 categorical IVs (1st IV consists of 2 categories, Second IV also consists of 2 Categories and 3rd IV consists of 3 categories).