Using full information maximum likelihood estimation, Mplus (Muthén & Muthén, 1998–2012) assumes that the data were missing at random. This technique adjusts the estimates of the parameters for attrition. Full information maximum likelihood is considered the appropriate method for handing data missing at random (Muthén & Sheden, 1999; Shafer & Graham, 2002).