

Testing cross level effects 

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Dear Linda, I am running a twolevel analysis using 4 latent variables. I have already got a good fit model to data but I'd like to test if the alternative models are giving a better/worse fit. I am not sure how to run this. Here is what the model looks like: A > B > C > D where B is used in both within and between groups, A is the within variable and C and D are between variables. I wonder if I can test a model by restricitng some or all mediating paths so the models are: 1) A > C > D 2) A > D Also, I'd like to know if I can run chisquare difference tests from imposting these restrictions. Please advise. Thanks. 


For models to be nested, they must at a minimum use the same set of observed variables. You can obtain the nested models by fixing coefficients to zero. 

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