How do you handle missing data in longitudinal developmental studies?

I run a multi-wave study on child language development and am losing families to attrition between waves.

I've used full information maximum likelihood before, but I'm unsure whether multiple imputation would be better here.

What approaches have worked for you, and how do you decide when missingness is ignorable versus not?