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I am guessing a bit from what you have asked, but I think you are fitting a three level model in which measurement occasion is nested within child within mother. If this is correct, then you must sort on these so that all children of the same mother are next to each other in the worksheet and simila...

The Customised predictions window will do a plot of the predicted probabilities from a logit model for a single predictor controlling for other variables. Say you have three predictors and a Constant in the model, and you are interested in just showing the plot for X1. You have to choose a range of ...

If you are analysing binary data then it is now accepted that you cannot validly allow for under/overdispersion in a Bernouilli model. (You can if you are analysing proportions and are thefore fitting a binomial model.) See Redundant Overdispersion Parameters in Multilevel Models for Categorical Res...

Yes, this works quite simply for Normal-theory models as the variances are additive.

Two answers and a warning 1) to perform cross-classified model I would use the MCMC procedures ( see MCMC Manual) 2) this simulation study reports on small n for random effects: daniel-stegmueller.com/files/Multilevel_samplesize.pdf A Warning - this is a personal view: the 'trick' of using age in th...

You asked specifically about level 1 variance so that is why I responded about that. However, the variance function can be calculated at any level separately (eg level 1 and level 2 and level 3) and they are additive; so you could do each, add then up to get a total variance function around the mean...