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sem-in-r / seminr

Natural feeling domain-specific language for building structural equation models in R for estimation by covariance-based methods (like LISREL/Lavaan) or partial least squares (like SmartPLS)
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handle size of PLS-SEM plot #311

Closed alibezzaa closed 1 year ago

alibezzaa commented 2 years ago

I have a model with many indicators, and I cannot decipher the significant from the nonsignificant paths when I use the plot() function on the bootstrapped model. I have two questions: How can we eliminate the loadings from the constructs to the indicators (reflective)? How to improve the overall appearance of the model, and make it ready for publication?

NicholasDanks commented 2 years ago

Dear Alibezzaa,

Thank you very much for this great request. In general, the GitHub page is for feature requests, issues, and bugs in the code. Since this question is more related to the application of the package, it would be more useful to post it on the FB page so that other users might benefit from the discussion.

  1. How can we eliminate the loadings from the constructs to the indicators (reflective)? Im not sure what this means? You could try to run the plot() command on the measurement_model object. This will yield a plot with no loadings. image If this doesn't work, please clarify your question in more detail.

  2. You can create a model in PPT and design it exactly as you want. I do this.

Keep well.

alibezzaa commented 2 years ago

Thank you for your reply. I wanted to know if it is possible, with SEMinR, to plot only the structural model without the outer loadings, as it is possible with SmartPLS. This way the plot is lighter and easier to interpret.

NicholasDanks commented 1 year ago

Dear Alibezzaa,

Please can you post this query on our Facebook page as this forum is for code-related bugs and issues.

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I have a model with many indicators, and I cannot decipher the significant from the nonsignificant paths when I use the plot() function on the bootstrapped model. I have two questions: How can we eliminate the paths from the constructs to the indicators (reflective)? How to improve the overall appearance of the model, and make it ready for publication?

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