Model Statistic | Estimate |
---|---|

Fit statistic (−2RLL) | 221.21 |

AIC statistic | 239.21 |

Repeated-measures error structure | |

Autoregressive variance estimate | 0.04 (SE = .003, p < .001) |

Autoregressive covariance estimate | 0.77 (SE = .27, p = .004) |

Random coefficients variance matrix | |

Intercept random variance | 0.11 (SE = .02, p < .001) |

Intercept-change random covariance | −0.009 (SE = .006, p = .12) |

Change parameter random variance | 0.01 (SE = .003, p < .001) |

Random coefficients (Level 1 parameters) | |

AS NMI intercept estimate | −0.16 (SE = .05, p = .001) |

AS NMI change parameter estimate | −0.06 (SE = .02, p = .001) |

Group intercepts effect (overall) | |

AS MI difference from AS NMI intercept | 0.29 (SE = .07, p < .001) |

Group by time interaction | |

AS MI difference from AS NMI change | −0.02 (SE = .02, p = .40) |

All models (as in Table 2) were re-estimated for the AS groups with six time periods; the logarithmic model was still the best fitting model.