Is that appropriate to use estimator = "MLR", missing="FIML" with Incomplete and Nonnormal Data?
450 views
Skip to first unread message
Ahmet Ayvaz
Jan 30, 2023, 10:58:51 AM1/30/23
to lavaan
Hi,
First of all, Sorry for my English. But I need your help with my research.
My data is not normally distributed and missing data mechanism is not MCAR. I read Enders's (2001) paper and I thought that I can use MLR estimator for nonnormality and FIML for missing values.
Is this approach correct?
Related paper:
Enders, C. K. (2001). The impact of nonnormality on full information maximum-likelihood estimation for structural equation models with missing data. Psychological Methods, 6(4), 352–370. https://doi.org/10.1037/1082-989X.6.4.352
Thank you,
First of all, Sorry for my English. But I need your help with my research.
My data is not normally distributed and missing data mechanism is not MCAR. I read Enders's (2001) paper and I thought that I can use MLR estimator for nonnormality and FIML for missing values.
Is this approach correct?
Related paper:
Enders, C. K. (2001). The impact of nonnormality on full information maximum-likelihood estimation for structural equation models with missing data. Psychological Methods, 6(4), 352–370. https://doi.org/10.1037/1082-989X.6.4.352
Thank you,
Terrence Jorgensen
Feb 3, 2023, 9:09:17 AM2/3/23
to lavaan
Yes, that combination of arguments is available
Terrence D. Jorgensen
Assistant Professor, Methods and Statistics
Research Institute for Child Development and Education, the University of Amsterdam
Reply all
Reply to author
Forward
0 new messages