Skip to main content
. Author manuscript; available in PMC: 2020 Nov 4.
Published in final edited form as: New Dir Child Adolesc Dev. 2019 Jul 1;2019(166):43–77. doi: 10.1002/cad.20305

Table 3.2.

Final growth curve model parameter estimates for Broad Reading Cluster W-scores in English (BRE) and Spanish (BRS)

Parameter UG-BRE CG-BRE UG-BRS CG-BRS
Fixed Effects: γ (SE)
 Intercept [γ00] 472.6b (0.7) 477b (0.7) 478.8b (1.1) 497.3b (0.8)
 Linear slope [γ10] 0.97b (0.08) 1.3b (0.08) 1.7b (0.3) 1.6b (0.3)
 Quadratic slope [γ20] −0.1b (0.004) −0.1b (0.004) 0.15a (0.05) 0.15a (0.05)
 Cubic slope [γ30] 0.01b (0.002) 0.01b (0.002)
 20% BR@Grade 2 [γ01] −37.4b (1.5) −59.6b (1.8)
 English instruction (Ei) [γ02] 4b (1.1) −19.1b (1.5)
 20% BR × linear slope [γ11] −0.38b (0.08) −0.91b (0.11)
 Ei × linear slope [γ12] −0.75b (0.06) 0.94b (0.09)
Variance Components: σ (SE)
 Within-person variance [σε2] 132b (3.4) 124.7b (3.2) 238b (6.1) 229.9b (5.9)
 B/w-person intercept σ02] 438b (19.3) 246.5b (11.5) 1223.3b (52.9) 336b (16.6)
Proportional Variance Reduction
 Within-person variance [Rε2] 79% 80% 59% 61%
 B/w-person intercept [R02] 44% 73%
Goodness-of-Fit
 −2LL 36,312.2b 35,499.6b 38,802.4b 37,288.3b
 BIC 36,354 35,574.9 38,852.5 37,371.8

Note. The proportional variance reduction of within-person variance [Rε2] for the best fitting unconditional and conditional growth curve models was calculated based on the within-person variance of the unconditional means model (not shown) for each measure. UG = best fitting unconditional growth curve model; CG=best fitting conditional growth curve model;BRE=broad reading cluster in English (BRE); and BRS = broad reading cluster in Spanish of the Woodcock Language Proficiency Battery-Revised (Woodcock, 1991; Woodcock & Muñoz-Sandoval, 1995); 20% BR@Grade 2 = W-score performance at the 20th percentile at the end (spring semester) of Grade 2 in the broad reading cluster; −2LL = −2 log-likelihood deviance statistic; BIC = Schwarz’ Bayesian information criterion.

a

p < .01.

b

p < .001.