Missing Data

• Muthén, B. (2015). General and specific factors in selection modeling. In M. Rosén et al. (eds.), Cognitive Abilities and Educational Outcomes, Methodology of Educational Measurement and Assessment (pp. 223-236). Switzerland, Springer International Publishing. DOI: 10.1007/978-3-319-43473-5_12
  
  
• Muthén, B., Asparouhov, T., Hunter, A. & Leuchter, A. (2011). Growth modeling with non-ignorable dropout: Alternative analyses of the STAR*D antidepressant trial. Psychological Methods, 16, 17-33. (Download scripts)
  
  
• Enders, C.K. (2011). Missing not at random models for latent growth curve analyses. Forthcoming in Psychological Methods, 16, 1-16.
  
  
• Enders, C.K. (2010). Applied missing data analysis. New York: Guilford Press.
  
  
• Muthén, B., Jo, B. & Brown, H. (2003). Comment on the Barnard, Frangakis, Hill & Rubin article, Principal stratification approach to broken randomized experiments: A case study of school choice vouchers in New York City. Journal of the American Statistical Association, 98, 311-314. (Barnard et al. article). For background information and analyses using Mplus, see Mplus Web Note #5 and Jo (2002), Sensitivity of causal effects under ignorable and latent ignorable missing-data mechanisms, Draft.
  
  
• Muthén, B., Kaplan, D. & Hollis, M. (1987). On structural equation modeling with data that are not missing completely at random. Psychometrika, 52, 3, 431-462.
  
  

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