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. Author manuscript; available in PMC: 2011 May 1.
Published in final edited form as: Stat Methodol. 2010 May 1;7(3):351–364. doi: 10.1016/j.stamet.2010.01.003

Figure 5.

Figure 5

100 replications of multiple imputation for three methods of summarizing (Rubin's t [1, 2], PMDA-1 [3,4], and PMDA-2 [5,6]) using copies of missing data generated from two different models (from a full conditional distribution based on the incomplete data factor analysis MLE [1,3,5] and the MLE from the general multivariate normal model [2,4,6]. The top subfigure shows the average of the estimates for the Mental Health loading for the second latent factor (square or circle) and the associated 95% confidence limits (error bars) for the various methods of summarizing and generating for m = 3, 5, 10, and 25 copies. The dashed lines across the width of the plot locate the maximum likelihood estimate and 95% confidence limits obtained from the non-parametric bootstrap. The lower left subfigure shows the average interval length and the lower right subfigure shows the standard deviation of the interval length. In the lower left subfigure, the horizontal dashed line is the interval length from the bootstrap sample.