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. Author manuscript; available in PMC: 2016 Apr 8.
Published in final edited form as: Psychol Methods. 2014 Mar;19(1):39–55. doi: 10.1037/a0035314

Table 5.

Mean Squared Error (MSE) Ratios: MCAR Mechanism and N = 200

Small interaction effect
 Large interaction effect
Distribution Parameter CCA FMLV CMLV FMC CMC CCA FMLV CMLV FMC CMC
Normal α 1.21 1.02 1.01 1.01 1.01 1.20 1.01 1.00 1.01 1.01
γ 1 1.27 1.21 1.21 1.21 1.21 1.24 1.19 1.19 1.19 1.19
γ 2 1.29 1.08 1.08 1.08 1.08 1.30 1.11 1.11 1.12 1.12
γ 3 1.26 1.27 1.27 1.27 1.27 1.23 1.23 1.23 1.23 1.23
Skewed α 1.27 1.02 1.02 1.02 1.02 1.26 1.03 1.04 1.03 1.04
γ 1 1.32 1.29 1.29 1.30 1.30 1.29 1.29 1.29 1.28 1.28
γ 2 1.29 1.13 1.13 1.14 1.14 1.33 1.22 1.22 1.22 1.22
γ 3 1.34 1.35 1.35 1.36 1.36 1.29 1.32 1.32 1.31 1.31
Kurtotic α 1.25 1.02 1.02 1.01 1.02 1.22 1.01 1.01 1.01 1.01
γ 1 1.27 1.24 1.24 1.23 1.23 1.24 1.21 1.21 1.21 1.21
γ 2 1.30 1.09 1.09 1.09 1.09 1.27 1.17 1.17 1.17 1.17
γ 3 1.33 1.34 1.34 1.33 1.33 1.26 1.27 1.27 1.27 1.27

Note. Ratio of missing data MSE to complete-data MSE. The x and xz variables (γ1 and γ3, respectively) have 20% missing data. MCAR = missing completely at random; CCA = complete-case analysis; FMLV = free mean latent variable model; CMLV = constrained mean latent variable model; FMC = free mean centering; CMC = constrained mean centering.