Fraction of Missing Information (FMI) = NA

[Allie Choate]

Hi all,

Has anyone stumbled across this problem before? My model converges no problem, but when I try to extract FMI using the below code I get 'NAs" for all estimates and it gives me the below error. I have also tried this with the 'fmi' command in semTools with a small subset of data and get the same error. 

model.fit<-cfa(model1, data=main.df, estimator="ML",

                         se="standard", fixed.x=FALSE, missing="FIML")

summary(model.fit,  fit.measures=T, standardized=T, fmi=T)

##

summary(model.fit, fmi=TRUE)

parameterEstimates(model.fit, fmi=TRUE)

Warning message:

In lavaan(slotOptions = object@Options, slotParTable = object@ParTable,  :

  lavaan WARNING: the optimizer warns that a solution has NOT been found!

Any insight would be greatly appreciated! Thanks.

[Terrence Jorgensen]

My model converges no problem, but when I try to extract FMI using the below code I get 'NAs" for all estimates and it gives me the below error. I have also tried this with the 'fmi' command in semTools with a small subset of data and get the same error. 

That must mean it is the saturated model that is not converging, which is how FMI is calculated with FIML.  

https://doi.org/10.1080/10705511.2012.687669

Terrence D. Jorgensen

Assistant Professor, Methods and Statistics

Research Institute for Child Development and Education, the University of Amsterdam

http://www.uva.nl/profile/t.d.jorgensen

[Allie Choate]

Thank you for the response, Dr. Jorgensen!