Hello! I'm kind of new in using R for doing EFA, CFA, and SEM. I just followed a guide to perform CFA on my data to see how my context fits the ITC-SOPI model in a VR photo-based tour.
I used this snippet:
fit
I kind of just found the answer to my own question. I modified the sizeMan and sizeLat arguments to reduce the size of the manifest and latent variable components. I also reduced the edge label to 0.3 and rounded-off values to one decimal place using nDigits.
Here is the modified code:
semPaths(fit, whatLabels="par", Layout ="spring", sizeMan=2, curve=TRUE, sizeLat=3, reorder=TRUE, edge.label.cex = 0.3, nDigits=1)
Attached is the new figure.
Other solutions are welcome!
Roberto B Figueroa, I personally think it is more informative and efficient to present the numbers from the measurement part of a SEM model in a table format and the structural part in a diagram.
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