BLIMP VIDEO SERIES

The Blimp video series and corresponding YouTube channel provide researchers with training for using the Blimp software. Each video provides a short, step-by-step tutorial that walks viewers through a particular aspect of a missing data analysis. Check back, as new videos are continually added.

The Blimp Modeling Framework
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The Blimp Studio Graphical Interface
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The Blimp Scripting Language
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Understanding Blimp Output
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Multilevel Modeling in Blimp
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predictors Variables in blimp
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Outcome variables in blimp
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multiple imputation in blimp
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Multilevel SEM in Blimp
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auxiliary variables in Blimp
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latent variables in Blimp
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mediation models in Blimp
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MNAR selection models
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MNAR Pattern Mixture models
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Interaction Effects in Blimp
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MCMC Diagnostics in Blimp
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Dealing with Missing Data in Educational Research

The review paper provides an overview of foundational concepts from the missing data literature and accessible descriptions of classic and cutting-edge missing data handling procedures. The accompanying software tutorials document provides annotated analysis scripts and outputs for 20 real-data analysis examples.
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The work reported here was supported by the Institute of Educational Sciences, U.S. Department of Education, through Grant R305D220001 to UCLA. The opinions expressed are those of the author and do not represent views of the Institute or the U.S. Department of Education

Craig Enders, PI