The arrows on the right represent the residual/error variance. The thicker the arrow, the more variance of the variable is left unexplained by the latent factors.
I am certain this is explained in the background documentation (e.g., the papers of Sacha Epskamp on this topic, hopefully referred to at the end of the help file). OK, a quick search leads to http://sachaepskamp.com/semPlot where there is a link to a paper (http://sachaepskamp.com/files/semPlot_paper.pdf). In the paper, there is this fragment:
"The argument style = "lisrel" specifies that (residual) variances are plotted similar to the way LISREL plots these: as arrows without origin on endogenous variables only. The default, style = "ram", would plot these residuals as described by Boker, McArdle, and Neale (2002): as double-headed self-loops on both endogenous and exogenous variables."
Comments
Hi @Adhamragab,
The arrows on the right represent the residual/error variance. The thicker the arrow, the more variance of the variable is left unexplained by the latent factors.
Cheers,
Simon
I am certain this is explained in the background documentation (e.g., the papers of Sacha Epskamp on this topic, hopefully referred to at the end of the help file). OK, a quick search leads to http://sachaepskamp.com/semPlot where there is a link to a paper (http://sachaepskamp.com/files/semPlot_paper.pdf). In the paper, there is this fragment:
"The argument style = "lisrel" specifies that (residual) variances are plotted similar to the way LISREL plots these: as arrows without origin on endogenous variables only. The default, style = "ram", would plot these residuals as described by Boker, McArdle, and Neale (2002): as double-headed self-loops on both endogenous and exogenous variables."
Ergo: residual variances.
E.J.
Thanks Simon
Thanks E.J.
This solved my problem.