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I am running a moderation of one observed continous variable Z on the path between latent variable X on latent variable Y. The continuous variable Z is a stated percentage of usage of self service technology (SST) rated from 0% to 100% of the time. Since this variable does not follow a normal distribution, I thought it would be best to do a log transformation (base10) of Z prior to running the interaction. This leads me to two questions:
1) Can I write the code for the transformation in the command syntax or do I have to do it in the raw data? If possible in the syntax, where would I find sample code?
2) Would the log transformation cause problems with the estimation? ie: give improper estimates.
Thanks, |
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| You can use the DEFINE command to do the log transformation. The log transformation would not cause estimation problems. |
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How well does Mplus cope with violations of linearity? Using MLR with non-normal and skewed ordinal data.
Two of my IVs have high floor effects.
My model fit remains poor and unchanged even after removing non-significant paths. I'm trying to think of what could be biasing the model. |
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| Skewed IV distribution does not necessarily cause problems. It is mostly relevant for DVs. If the DVs are treated as ordinal, skewness is not an issue. |
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