I am trying to make sure that I am not missing something obvious. In a project I am working on I am testing a measurement model using lavaan's cfa()
function. I have three latent variables, each with 4 unique indicators that are measured using a 4 point Likert scale. In estimating the model I set std.lv
=T, to standardize the estimates.
I report the estimated loadings and, although they are not the most important part of the paper, discuss how they vary. A reviewer is concerned that these estimates are not easily interpretable given that I am have ordered indicators. They ask that I report the variance explained instead. I am happy to do this, but from what I can gather the variance explained is just the square root of the standardized loadings and so would not really lead to much of a difference in interpretation from what I am already reporting. I also realize that I was not as explicit in explaining that the estimates were standardized by setting the latent variance to 1, so that might be part of the confusion.
I am generally self-taught here, having read through Brown's CFA book, and I was hoping that someone could point me in the right direction if I am missing something.
Thank you for any help,