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Multilevel mediation model and grouping |
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tiksu11 posted on Tuesday, July 02, 2013 - 3:59 am
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Hi, I have a mediation model that has as an independent variable the implementation of intervention divided into 3 groups (control, low level and high level of implementation). The aim is to see whether these different groups have different influence on mediators and dependent variable. I have used grouping command to check differences between these groups (for example checking intraclass correlations), but I'm not able to use grouping command in my overall multilevel mediation modeling. I tried to search information if I can use grouping command in this case, but did not find. Should I use another command? Or how is it possible to do with Mplus? Thank you for your help. |
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I think you need to use the KNOWNCLASS option and TYPE=MIXTURE in this case. When all classes are known, it is the same as multiple group analysis. See Example 7.21 in the user's guide. |
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tiksu11 posted on Tuesday, July 09, 2013 - 2:30 am
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HI, thanks for your reply. I have tried to do the analysis with knownclass option and type=mixture, but I don't know how to add the measuring of total, indirect and direct effects in the model. Using the model indirect, I cannot use X variable of my model, because I have determined it in the knownclass option. (the X is the divided into three categories and I defined it as a knownclass variable). Should I use model constraint? Is there a good example how to conduct mediation with model constraint? I tried to search it, but did not have any luck with it. Thanks once again! |
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If you want to create indirect effects that include the grouping variable, you need to include it in the analysis and not use it as a grouping variable. For three categories, create two dummy variables using the DEFINE command. Following is an example of how to create a indirect effect that is a product using MODEL CONSTRAINT: MODEL: y ON m (p1); m ON x (p2); MODEL CONSTRAINT: NEW (ind); ind = p1*p2; |
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