Modification indices from imputed data

[garc...@unlv.nevada.edu]

Hello, 

I have recently started working on a project where I am fitting several CFA models to a multiple imputation dataset. What I am trying to do is get the modification indices for my various fitted models.

So far in my attempts, I get this error message: 

Error in modindices(fit.mod.c2.wlsmvs.mi) : 

no slot of name "optim" for this object of class "lavaan.mi"

I read in an older post that there may not be a way to call the modification indices from this kind of data set. I am wondering if this is still the case or if anyone has successfully done this and may be able to help me? 

Thank you in advanced for any help!

Breanna Garcia 

[Yves Rosseel]

I am not sure if this possible. Because each imputed dataset would
produce a different set of modification indices.

I would suggest to fit a model for each imputed dataset (separately),
extract the modification indices, and only retain the ones that are
'high' in most (if not all) imputed datasets.

Yves.

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[Terrence Jorgensen]

I get this error message: 

Error in modindices(fit.mod.c2.wlsmvs.mi) : 

no slot of name "optim" for this object of class "lavaan.mi"

I read in an older post that there may not be a way to call the modification indices from this kind of data set. I am wondering if this is still the case or if anyone has successfully done this and may be able to help me? 

You can use the modindices.mi() function, which properly pools the score-test statistics (or calculates them using other pooled information, if type = "Rubin").

Terrence D. Jorgensen

Postdoctoral Researcher, Methods and Statistics

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

UvA web page: http://www.uva.nl/profile/t.d.jorgensen