Multilevel Imputation

The Blimp application for Mac and Windows performs single-level and multilevel imputation with mixtures of continuous, ordinal, and nominal variables.  Blimp implements a fully conditional specification algorithm (also known as chained equations and sequential regression) with a latent variable formulation for incomplete categorical variables.  Blimp was developed with funding from Institute of Educational Sciences award R305D150056 (Craig Enders, PI).  Algorithmic development by Craig Enders and Brian Keller, C++ programming by Brian Keller, and graphical user interface development by Nitish Mehta and Brian Keller.

Blimp Download

  • Click here to receive an email notification when Blimp updates are available.
  • Click here to download Blimp beta version 6.8 for Mac OS.
  • Click here to download Blimp beta version 6.8 for Windows.

Blimp Documentation

  • Click here to download the Blimp syntax guide, also available from graphical interface Help menu.
  • Click here to download a quick-start guide that illustrates single-level imputation with the Blimp graphical interface.  The zip archive includes a raw data file and analysis scripts for Mplus, SAS, SPSS, and R.
  • Click here to to download a quick-start guide that illustrates two-level imputation for a random slope model with the Blimp graphical interface.  The zip archive includes a raw data file and analysis scripts for Mplus, SAS, SPSS, and R.

Blimp Support

  • Click here to email a question to the Blimp support group.

Blimp Papers

Enders, C.K. (in press). Multiple imputation as a flexible tool for missing data handling in clinical research. Behaviour Research and Therapy.

  • Click here to download the paper.
  • Click here to download the raw data file, imputed data sets, Blimp script, and R analysis script.

Enders, C.K., Keller, B.T., & Levy, R. (in press). A fully conditional specification approach to multilevel imputation of categorical and continuous variables. Psychological Methods.

  • Click here to download the paper.
  • Click here to download the data file and analysis scripts.

M3 Workshop on Multilevel Multiple Imputation

  • Click here to to download slides from the 2017 M3 conference workshop that illustrates two- and three-level imputation for a variety of multilevel models.  The zip archive includes a raw data file and analysis scripts for Blimp and R.
Questions or suggestions? Email Craig Enders