moderated mediation model, risks of having too many variables

[Francesco Cabiddu]

I am about to conduct a survey study referring to a model (using Likert-scale items all going from 1 to 7.) consisting of 13 latent variables (x1...x7, x9...x12, y=outcome) and an observed variable (x8). There are 2 moderations and 2 moderated mediations.

I have received suggestions to split the study in two studies because there are too many variables involved. But I don't quite understand the reason why I should do that. 

What are the risks of having a model with too many variables as described above?

In literature, I often see quite complex models used!

Thank you for your support

[car...@web.de]

Is there a theoretical foundation for these 13 variables or is it a heuristic on your part? More is not automatically better. Probably SEMnet is a better place to ask this question.

Am 17.06.19, 21:34, Francesco Cabiddu <gismund...@gmail.com> schrieb:

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[Francesco Cabiddu]

Hi, thanks for your reply. 

Yes, there is a strong theoretical foundation. The relationships between the different constructs have been investigated extensively in the literature and are justified. Although they have never been considered together within a unified model. 

So basically I am trying to link these different relationships. My worry though is on the statistical side, because I am not confident enough with SEM to understand if there could be huge computational problems when running the model.

Do you have any suggestions? I have posted two different questions showing the model with lavaan syntax here and here, because I am also trying to perform a power analysis, but I am having problems there as well to get it done and interpret the output I get from R. 

On Monday, 17 June 2019 20:46:05 UTC+1, car...@web.de wrote:

Is there a theoretical foundation for these 13 variables or is it a heuristic on your part? More is not automatically better. Probably SEMnet is a better place to ask this question.

Am 17.06.19, 21:34, Francesco Cabiddu <gismund...@gmail.com> schrieb:

I am about to conduct a survey study referring to a model (using Likert-scale items all going from 1 to 7.) consisting of 13 latent variables (x1...x7, x9...x12, y=outcome) and an observed variable (x8). There are 2 moderations and 2 moderated mediations.

I have received suggestions to split the study in two studies because there are too many variables involved. But I don't quite understand the reason why I should do that. 

What are the risks of having a model with too many variables as described above?

In literature, I often see quite complex models used!

Thank you for your support

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[car...@web.de]

I don't know your theoretical foundation. 13 latent variables do not sound intuitively to me like a strong theoretical foundation; more like an overly complex model with a fuzzy theoretical basis. You have to know that. I recommend you semnet again for such questions.

Am 17.06.19, 23:27, Francesco Cabiddu <gismund...@gmail.com> schrieb:

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[Francesco Cabiddu]

Thank you very much for your help, I'll try with semnet as well thanks for suggesting that

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