Missing Data pp 229-251 | Cite as

Simulations with Missing Data

  • John W. Graham
Part of the Statistics for Social and Behavioral Sciences book series (SSBS)


If you have some experience with simulation work, then much of what I say here in the early part of this chapter should be a review. However, even if you do have prior experience with this topic, I believe it will be good to see my take on the more traditional Monte Carlo approach to missing data. Also important is that having a good sense of the traditional Monte Carlo approach to simulations will be a good setup for the non-Monte Carlo simulations I describe toward the end of this chapter.


Monte Carlo Simulation Structural Equation Modeling Population Parameter Estimation Bias Monte Carlo Simulation Result 
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Copyright information

© Springer Science+Business Media New York 2012

Authors and Affiliations

  • John W. Graham
    • 1
  1. 1.Department of Biobehavioral HealthThe Pennsylvania State UniversityUniversity ParkUSA

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