Dear all,
I am currently writing my master thesis where I am analysizing my data using path analysis and SEM in R (lavaan package). Now that I like to write up my results, I am struggling with the R output. Since normality assumption is violated I decided to use the Yuan bentler correction.
Consequently, R is giving me an output containing a column with Robust values (that I thought were the corrected ones) as well as as extra robust fit indices.
Did I make a mistake? Otherwise, I would appreciate if you can give me a hint on which values to use (or better said, what the difference is between them)!
Thanking you in advance and best regards,
Alina
Hello A. Berger,
Yes, report the values given under the "Robust" column heading. You'll note that the Y-B "correction" factor, if multiplied by the robust estimate, yields the "standard" estimate (e.g., 1.201 x 11.154 = 13.400).
Good luck with your work.
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