How does lavaan handle missing data?

[Ray Fang]

Hi I am new to lavaan, I hear great things about it. How does the package handle missing data and what are the arguments to handle it in regression analyses, mediation analyses, SEM?

Thanks!

ray

[Mikko Rönkkö]

Hi,

Lavaan uses listwise deletion or FIML. This is explained in the documentation of the “missing” argument:

If "listwise", cases with missing values are removed listwise from the data frame before analysis. If "direct" or "ml" or "fiml" and the estimator is max- imum likelihood, Full Information Maximum Likelihood (FIML) estimation is used using all available data in the data frame. This is only valid if the data are missing completely at random (MCAR) or missing at random (MAR). If "default", the value is set depending on the estimator and the mimic option. 

If you prefer to use multiple imputation, you can do that with the semTools package.

Mikko

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