Contents
What is error variance in CFA?
Error variances are the portions of variance in each measurement that do not covary with the latent factor. These are interesting in as much as they can indicate “good” and “bad” measures of a latent factor.
A correlated error is one where the magnitude of the error at the user receiver can be calculated from the magnitude of the error at the reference receiver. In order to make the calculation we must know the displacement of the user receiver from the reference receiver, along each axis.
What is a good Rmsea score?
Up until the early nineties, an RMSEA in the range of 0.05 to 0.10 was considered an indication of fair fit, and values above 0.10 indicated poor fit (MacCallum et al, 1996). It was then thought that an RMSEA of between 0.08 to 0.10 provides a mediocre fit and below 0.08 shows a good fit (MacCallum et al, 1996).
What should I know about factor analysis in lavaan?
We will understand concepts such as the factor analysis model, basic lavaan syntax, model parameters, identification and model fit statistics. These concepts are crucial to deciding how many items to use per factor, as well how to successfully fit a one-factor, two-factor and second-order factor analysis.
How to use the lavaan package for CFA?
Note that in this default approach, the latent factors are permitted to covary and the model estimates this covariance. One R syntax note….. the format here to call the cfa function ( lavaan::cfa (….. )) is employed to ensure no ambiguity that the correct cfa function is the one from the lavaan package.
How to use lavaan to estimate polychoric correlations?
With the argument ordered = c, which you have used, you have told lavaan that some variables are ordinal in nature. In response, lavaan estimates polychoric correlations for these variables.
How to calculate Cfa with DWLS and polychoric correlation?
To compute the CFA I searched for information and found some useful advise in this paper. The recommendation is to use DWLS-estimation and polychoric correlation. I’ve managed to compute the CFA with DWLS in R using the lavaan package.