Table 7.
Aim 3: Regression statistics for model with combined EF measures and reading comprehension and math calculations.
Predictor | b | SE(b) | β | t | p | sr 2 |
---|---|---|---|---|---|---|
Reading Comprehension | ||||||
Intercept | 55.39 | 12.44 | 0.00 | 4.45 | <.001 | |
Age | −4.15 | 0.91 | −0.31 | −4.56 | <.001 | .09 |
WJ-III Oral Comp | 0.43 | 0.20 | 0.18 | 2.12 | .038 | .02 |
CTOPP Elision | 0.45 | 0.15 | 0.22 | 2.91 | .005 | .04 |
Special Education | −4.30 | 3.53 | −0.08 | −1.22 | .227 | .01 |
Gifted/Talented | 6.04 | 2.53 | 0.17 | 2.38 | .020 | .02 |
BRIEF-T WM | −0.40 | 0.12 | −0.25 | −3.20 | .002 | .04 |
WMTB-C | 0.61 | 0.24 | 0.24 | 2.59 | .011 | .03 |
TOL | 0.17 | 0.20 | 0.06 | 0.86 | .390 | <.01 |
DKEFS CWIT | −0.03 | 0.04 | −0.07 | −0.83 | .411 | <.01 |
DKEFS TMT | 0.01 | 0.01 | 0.07 | 0.89 | .374 | <.01 |
Total Model R2 = .68, F(10, 76) = 16.43, p = .001 | ||||||
R2Δ = .08, F(10, 76) = 3.36, p < .001 | ||||||
Math Calculations | ||||||
Intercept | 20.43 | 2.11 | 0.00 | 9.68 | <.001 | |
CTOPP Elision | 0.14 | 0.05 | 0.20 | 2.60 | .011 | .03 |
Special Education | −1.71 | 1.08 | −0.10 | −1.58 | .118 | .01 |
Gifted/Talented | 3.55 | 0.88 | 0.30 | 4.03 | <.001 | .07 |
BRIEF-T WM | −0.04 | 0.04 | −0.07 | −1.02 | .313 | <.01 |
WMTB-C | 0.08 | 0.07 | 0.09 | 1.17 | .245 | .01 |
TOL | 0.16 | 0.07 | 0.16 | 2.37 | .020 | .02 |
DKEFS CWIT | −0.05 | 0.01 | −0.27 | −3.50 | <.001 | .05 |
DKEFS TMT | −0.01 | 0.01 | −0.13 | −1.72 | .089 | .01 |
Total Model R2 = .68, F(8, 79) = 21.08, p < .001 | ||||||
R2Δ = .23, F(8, 79) = 9.46, p < .001 |
Note. b = parameter estimate; BRIEF-T = Behavior Rating Inventory of Executive Function – Teacher Form; β = standardized estimate; CTOPP = Comprehensive Test of Phonological Processing; CWIT = Color Word Interference Test; DKEFS = Delis-Kaplan Executive Function System; SE(b) = standard error of parameter estimate; sr2 = squared semi-partial correlation; TMT = Trail Making Test; TOL = Tower of London; WJ-III Oral Comp = Woodcock–Johnson III Oral Comprehension; WM = working memory; WMBT-C = Working Memory Test Battery for Children. R2Δ accounts for the addition of EF variables as a whole to the model with covariates alone. Influential residuals removed from presented models.