I have to run many CFAs and want to automate saving specific output values in a data frame so I can convert it to a latex table later.
Specifically I get my output something like this using lavaan:
model <- 'y =~ x1 + x2 + x3'
fit <- cfa(model, data)
sum <- summary(fit_os_bi, fit.measures=TRUE, standardized=T)
I managed to extract some values like this p_val <- sum$test$standard$pvalue but I couldn't figure out how to get to CFI, TLI, RMSEA, and SRMR. I think I'm even missing the right search terms to google that problem successfully.
How can I access these values from the summary-object? I'd be grateful if you could provide me with the right code or point me to a resource that explains it!
Here's an excerpt of the cfa summary:
lavaan 0.6-12 ended normally after 42 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 9
Number of observations 213
Model Test User Model:
Test statistic 1.625
Degrees of freedom 1
P-value (Chi-square) 0.202
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.997
Tucker-Lewis Index (TLI) 0.983
Root Mean Square Error of Approximation:
RMSEA 0.054
90 Percent confidence interval - lower 0.000
90 Percent confidence interval - upper 0.200
P-value RMSEA <= 0.05 0.315
Standardized Root Mean Square Residual:
SRMR 0.014
I looked at 'sum' in the environment inspector in R-Studio (where I found the location of the p-value) and searched the documentation of lavaan, but to no avail.
Since the values I'm looking for appear in the output I expect they must be stored somewhere in the summary-object.
lavaan has a number of helper functions to extract coefficients from the model object. In this case you can use fitMeasures():
fitMeasures(fit, c("pvalue", "cfi", "tli", "rmsea","srmr"))