Table B.2.

Model results for scaled complex syntax scores.

	Model 1: Random intercept (unconditional means model)	Model 2: Fixed unconditional growth model	Model 4: Dialect conditioned growth
	Coefficient (SE)	Coefficient (SE)	Coefficient (SE)
Fixed effects
Mean initial status β00	7.12 (0.12)***	7.30 (0.20)***	9.88 (0.37)***
Dialect β01			−0.05 (0.01)***
Mean growth rate β10		−0.01 (0.01)NS	−0.03 (0.02)NS
Growth conditional on dialect β11			2.16 × 10−4 (2.95 × 10−4)NS
	Variance component (SE)	Variance component (SE)	Variance component (SE)
Random effects
Initial status r0i	5.00 (0.52)***	4.93 (0.53)***	3.09 (0.43)***
Level-1 error εti	3.72 (0.33)***	3.75 (0.33)***	3.83 (0.34)***
Model fit statistics
−2 log-likelihood	3,685.10	3,683.90	3,526.20
AIC (smaller is better)	3,691.10	3,691.90	3,538.20
BIC (smaller is better)	3,703.90	3,708.90	3,563.60
Model notes		χ2Diff (1) = 1.20NS Does not significantly improve fit over Baseline Model 1	χ2Diff (2) = 157.70*** Significantly improved fit over Model 2b; χ2Diff (3) = 158.90*** Significantly improved fit over Model 1

Note. SE = standard error; AIC = Akaike information criterion; Bayesian information criterion.

^***Correlation higher than .001.