Moderated mediation using a latent in... PreviousNext
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 Tamara Martinovic posted on Wednesday, March 20, 2013 - 12:51 am
Hi,

I have a mediation model with 1 latent IV, 1 latent mediator, and 1 latent DV. I want to see if this mediation process works differently in:

1) two national contexts (moderator 1)
2) for people high and low on perceived discrimination (moderator 2, measured with multiple continuous items)
3) a combination of 1 and 2: low discrimination in country 1, high discrimination in country 1, low discrimination in country 2, high discrimination in country 2 (so a possible three-way interaction)

I started off by using multiple group modelling to test these three moderated mediation models, first using country as a grouping variable, then using dichotomized discrimination (computing a mean score and spliting the participants into high/low), and then grouping the data into four groups combining country and discrimination.

However, a reviewer wants me to test a latent interaction between the IV and discrimination instead. I've done this, but I do not seem to manage to answer question 3 in this way Mplus does not allow me to use command TYPE=RANDOM and at the same time estimate a multiple group model for the two countries.

Do you have a solution to this? Can I interact the latent interaction term with the dichotomous country variable? If so, how is this done?

Thank you,
Tamara
 Linda K. Muthen posted on Wednesday, March 20, 2013 - 6:28 am
You can use TYPE=MIXTURE RANDOM and the KNOWNCLASS option for multiple group analysis using XWITH. When all classes are known, it is exactly the same as using the GROUPING option.
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