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. Author manuscript; available in PMC: 2018 May 1.
Published in final edited form as: Dev Sci. 2015 Dec 21;20(3):10.1111/desc.12380. doi: 10.1111/desc.12380

Table 3.

Latent Growth Models without Predictors: Parameter Estimates and Model Fit Indices

Study 1 WRRMP
Reading
Study1 WRRMP
Math
Study 2 SECCYD
Reading
Study 2 SECCYD
Math
Intercept Mean (SE) 420.30(1.26)*** 503.24(.50)*** 468.15(.47)*** 469.91(.47)***
Variance (SE) 1011.70(59.20)*** 145.38 (10.44)*** 187.53(11.81)*** 187.68(10.43)***
Slope Mean (SE) 92.41(1.19)*** 14.48 (.33)*** 40.14(.32)*** 40.32(.36)***
Variance (SE) 813.59(53.43)*** 22.16 (11.06)* 29.06 (12.78)* 53.70(7.04)***
Intercept-Slope correlation −.92*** −.25 −.46*** −.66***
Residuals E1 Variance (SE) 157.81 (21.48)*** 16.04(6.01)** 54.064 (9.05)*** 48.054(2.55)***
E2 Variance (SE) 149.10(10.89)*** 13.44(2.41)*** 17.28 (2.45)*** 48.054(2.55)***
E3 Variance (SE) 101.15(6.22)*** 40.51(4.64)*** 18.75(3.53)*** 26.11(3.19)***
E4 Variance (SE) 23.23(1.39)*** -- -- --
E5 Variance (SE) 13.82(1.07)*** -- -- --
E6 Variance (SE) 15.36(1.26)*** -- -- --
Model Fit Indices χ2 (df) 472.70 (24) .00(0) .00(0) 17.48(1)
RMSEA .15 .00 .00 .11
CFI .95 1.00 1.00 .99

Note. df = degrees of freedom; RMSEA = root mean square error of approximation; CFI = comparative fit index.

*

p < .05;

***

p < .001