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. Author manuscript; available in PMC: 2014 Mar 1.
Published in final edited form as: Psychol Methods. 2012 Nov 12;18(1):1–14. doi: 10.1037/a0030639

Table 2.

Comparative Fit of Models with Different Covariance Structures for School Effects over Time.

Stable Dynamic


Intercept Intercept + Slope UN* Toeplitz SB(4) SB(3) SB(2) CS AR ARMA
Parameters 5 7 25 10 9 8 7 6 6 7
Model 1: Includes Cohort, Grade and Cohort × Grade Effects
−2LL 52267.9 52190.2 52090.1 52109.2 52110.2 52131.3 52131.3 52142.2 52122.8 52122.7
AIC 52277.9 52204.2 52140.1 52129.2 52128.2 52147.3 52145.3 52154.2 52134.8 52136.7
BIC 52287.5 52217.7 52188.4 52148.5 52145.5 52162.8 52158.9 52165.8 52146.4 52150.2
Model 2: Includes Cohort, Grade, Cohort × Grade, Socioeconomic Status and Attitude Effects
−2LL 52045.0 51967.6 51866.2 51883.1 51883.8 51904.9 51905.0 51917.2 51897.1 51897.1
AIC 52055.0 51981.6 51916.2 51903.1 51901.8 51920.9 51919.0 51929.2 51909.1 51911.1
BIC 52064.6 51995.1 51964.5 51922.5 51919.2 51936.4 51932.5 51940.7 51920.7 51924.6
*

Estimated group-effects covariance matrix was non-positive definite.

Note: Parameters refers to the number of unique variance/covariance parameters estimated in the model, −2LL is the log-likelihood of the model multiplied by a factor of −2 (i.e., the model deviance), AIC is Akaike’s Information Criterion, BIC is Bayes’ Information Criterion. Bolded entries indicate best fit. Covariance structures were specified as defined in Table 1: UN = unrestricted, Toeplitz = fully banded Toeplitz, SB(t) = Stabilizing banded – stabilizing at lag t, CS = compound symmetric, AR = first-order autoregressive, and ARMA = first order autoregressive moving average.