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. Author manuscript; available in PMC: 2020 Jan 8.
Published in final edited form as: Am J Intellect Dev Disabil. 2019 Sep;124(5):411–426. doi: 10.1352/1944-7558-124.5.411

Table 3.

Multilevel Lagged Models Predicting Self-Reported Daily Number of Physical Health Symptoms (N = 114)

Variable Model Model with CGG Interaction
Coefficient (SE) Effect Size Coefficient (SE) Effect Size
Within-Person Level 1
Intercept 2.93 (0.43)** .43 2.87 (0.49)** .42
Day −0.04 (0.03) .09 −0.03 (0.03) .09
Previous-Day # Child Behavior Problem 0.02 (0.05) .03 0.02 (0.06) .02
Previous-Day # Stressors 0.05 (0.07) .05 0.03 (0.08) .02
Previous-Day Emotional Support −0.20 (0.11)+ .16 −0.32 (0.17)* .20
 X CGG Linear ---------- -- 0.28 (0.19) .12
 X CGG Curvilinear ---------- -- −0.38 (0.18)* .19
Between-Person Level 2
Maternal Age 0.02 (0.02) .09 0.02 (0.02) .11
Maternal Education −0.30 (0.11)* .27 −0.30 (0.10)** .27
Additional Children with Disability 0.03 (0.26) .01 0.02 (0.24) .01
Partner Status −1.36 (0.52)* .25 1.36 (0.54)* .24
Mean # Child Behavior Problem 0.61 (0.18)** .32 0.60 (0.18)* .31
Mean # Daily Stressors 0.83 (0.39)* .21 0.81 (0.38)* .21
Mean Emotional Support −0.55 (0.77) .07 −0.52 (0.68) .09
CGG linear 0.25 (0.21) .12 0.28 (0.20) .14
CGG curvilinear −0.03 (0.10) .03 −0.03 (0.06) .06

Note. Effect size was calculated with the following equation: r = sqrt [t2/(t2 + df)]; small effect: r >.10, medium effect: r > .24 and large effect r >.37 (Kirk, 1996). df = degrees of freedom ranged from 105 to113. CGG curvilinear was computed as the square of centered CGG. We re-ran models to also include household income (coded as 1 to 14, starting at < $10K and going up by $10 to $20K intervals to $160K+) in Level 2. The pattern of effects remained the same. CGG = cytosine-guanine-guanine.

+

p ≤ . 09.

*

p ≤ .05.

**

p ≤ .01.