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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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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