Table 3

Logarithmic Level 1 Models Testing Group and Group by Time Interactions for All Groups Using 5 Time Periods

Model StatisticEstimates
Overall model fit
Fit statistic (−2RLL)290.92
AIC statistic320.92
Repeated measures error structure
Autoregressive variance estimate0.04 (SE = 0.002, p < .001)
Autoregressive covariance estimate0.64 (SE = 0.24, p = .007)
Random coefficients variance matrix
Intercept random variance0.09 (SE = 0.01, p < .001)
Intercept-change random covariance−0.002 (SE = 0.003, p = .51)
Change parameter random variance0.01 (SE = 0.002, p < .001)
Random Coefficients (Level 1 Parameters) With AS MI Coding
AS MI intercept estimate0.12 (SE = 0.04, p = .007)
AS MI change parameter estimate−0.07 (SE = 0.02, p < .001)
Comparison of each group from AS MI Intercept
AS NMI−0.29 (SE = .08, p < .001)
SN MI0.10 (SE = .06, p = .09)
GP NMI−0.48 (SE = .07, p < .001)
GP MI−0.08 (SE = .08, p = .26)
Comparisons of AS MI with each group on difference in change parameter
AS NMI0.01 (SE = 0.02, p = .60)
SN MI0.02 (SE = 0.02, p = .34)
GP NMI0.002 (SE = 0.03, p = .94)
GP MI0.02 (SE = 0.03, p = .45)
Random Coefficients (Level 1 Parameters) With AS NMI Coding
AS NMI intercept estimate−0.16 (SE = 0.04, p < .001)
AS NMI change parameter estimate−0.06 (SE = 0.02, p = .001)
Comparison of each group from AS NMI intercept
AS MI0.29 (SE = 0.06, p < .001)
SN MI0.39 (SE = 0.06, p < .001)
GP NMI−0.20 (SE = 0.07, p = .005)
GP MI0.20 (SE = 0.08, p = .008)
Comparisons of AS NMI with each group on difference in change parameter
AS NMI−0.01 (SE = 0.02, p = .60)
SN MI0.01 (SE = 0.02, p = .68)
GP NMI−0.01 (SE = 0.03, p = .69)
GP MI0.01 (SE = 0.03, p = .75)
• Estimating logarithmic model with five time points using all groups. Models are coded in two ways so that each AS group is compared with all other groups on intercept and change parameters. Model fit statistics and covariance structures are the same for each model. Only the random and fixed parameter estimates change for the two models.