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. Author manuscript; available in PMC: 2012 Dec 1.
Published in final edited form as: Psychol Methods. 2011 Oct 31;16(4):373–390. doi: 10.1037/a0025813

Table 3.

Mean and Standard Deviation of Random Intercept Dispersion Estimate, τ^00, as a Function of the Number of Categories, Collapsing Over Number of Clusters, Cluster Size and Category Distribution

Categories Small random effect variance (τ00=0.50) Medium random effect variance (τ00=1.63) Large random effect variance (τ00 =8.15)
Population τ00 = 0.71 Population τ00 = 1.28 Population τ00 = 2.85



Linear – REML Logistic – PQL Logistic – ML Linear – REML Logistic – PQL Logistic – ML Linear – REML Logistic – PQL Logistic – ML
2 0.57 (.16) 0.63 (.19) 0.69 (.23) 0.94 (.16) 1.07 (.20) 1.26 (.28) 1.75 (.26) 1.95 (.32) 2.91 (.97)
3 0.63 (.16) 0.66 (.17) 0.68 (.19) 1.07 (.17) 1.16 (.19) 1.25 (.22) 2.10 (.27) 2.27 (.33) 2.84 (.46)
5 0.67 (.16) 0.69 (.15) 0.68 (.16) 1.17 (.17) 1.21 (.18) 1.25 (.19) 2.42 (.27) 2.52 (.32) 2.81 (.39)
7 0.69 (.15) 0.69 (.15) 0.68 (.15) 1.21 (.18) 1.23 (.17) 1.24 (.19) 2.54 (.31) 2.62 (.32) 2.81 (.36)

Notes. Standard deviation of estimates presented in parentheses. REML=Restricted Maximum Likelihood; ML= Maximum Likelihood; PQL= Penalized Quasi-Likelihood.