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. 2016 Sep 20;88(3):812–827. doi: 10.1111/cdev.12615

Table 6.

Hierarchical Logistic Regression Predicting Above Target Performance in Year 2 Assessments (n = 6,397)

Variable b SE Wald p Odds ratio (95% CI)
Unadjusted model
EAL −0.14 .17 0.70 .404 0.87 (0.62, 1.21)
CCC–S score −0.16 .01 718.37 < .001 0.85 (0.84, 0.86)
CCC–S × EAL 0.05 .01 13.97 < .001 1.05 (1.03, 1.08)
Constant 0.27 .04 38.11 < .001
Adjusted model
EAL −0.01 .17 < 0.01 .965 0.99 (0.71, 1.39)
CCC–S score −0.15 .01 613.39 < .001 0.86 (0.85, 0.87)
CCC–S × EAL 0.05 .01 13.35 < .001 1.05 (1.02, 1.08)
Male sex 0.09 .06 2.17 .140 1.10 (0.97, 1.24)
Age in months 0.08 .01 87.19 < .001 1.09 (1.07, 1.10)
IDACI rank < 0.01 < .01 150.76 < .001 1.00 (1.00, 1.00)
Constant −6.31 .59 115.61 < .001

EAL = English as an additional language; CCC–S = Children's Communication Checklist–Short; IDACI = Income Deprivation Affecting Children Index.