How to interpret negative values for -2LL, AIC, and BIC? From a statistical point of view, can -2LL, AIC, and BIC in the table of information criteria from SPSS output be less than zero, ie negative? In this case, how should they be interpreted?
Note: These negative values were obtained while examining a two-level growth curve model to investigate volume growth trajectories over three time occasions using the SPSS software program. The histogram of the dependent variable (volume) after a two-step normalization procedure was as follows:


Yes.
-2 LL means -2 multiplied by the log likelihood.
AIC, BIC etc are (as far as I know) only interpreted in relation to other values from different models. An AIC of -100 doesn't mean anything on its own. It means something when a different model, using the same data, has an AIC of -90, so the difference is 10. The difference is the interesting thing.
