yrosseel/lavaan

Model measures - lavaan

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PriscilaPCarlos commented

Hey,

I'm working on Structural Equation Modeling using the Lavaan package, and the fit measures for my model are SRMR 0.00, RMSEA 0.00, and CFI 1.00. I've tried to find similar results in the literature, but without success. I'm struggling to reach a conclusion on whether these results invalidate my model or suggest that it's the best fit for the available data. I have a small database.

Could I get some help, please?

print(fitmeasures(fit.ap.fc1, c("srmr", "rmsea", "cfi", "bic", "aic")))
srmr rmsea cfi bic aic
0.000 0.000 1.000 593.698 576.200
modindices(fit.ap.fc1, sort = TRUE, maximum.number = 10)
[1] lhs op rhs mi epc sepc.lv sepc.all sepc.nox
<0 linhas> (ou row.names de comprimento 0)

TDJorgensen commented

I'm guessing your model is saturated (i.e., has df = 0), which means there is no way for misfit to occur. But this topic is more appropriate to post on lavaan's Google group.

https://lavaan.ugent.be/about/support.html

An issue on the GitHub project is a place to report bugs or request new features.

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PriscilaPCarlos commented

I will write there.
Thank you.

TDJorgensen commented

Make sure to include your syntax and summary() output, so there is enough information.

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