We tested the moderation hypothesis in two separate multilevel analyses. The same model described in Equation 1 was used for each analysis. However, Level 2 equations included the following additional predictors as moderators: CIQ and DAS. Because we were interested in the effects of wives’ anxiety on wives’ and husbands’ relationship quality (denoted as b3w and b3h in Equation 1, respectively), b3w, and b3h were modeled as a function of these moderators, as such:

b3w = γ30w + γ31w(CIQwi) + γ32w(DASwi);


b3h = γ30h + γ31h(CIQwi) + γ32h(DASwi).

CIQwi reflects wives’ report of anxiety-specific relationship adjustment for dyad i, and DASwi reflects wives’ report of global relationship functioning. We did not alter the specifications of the random effects for the moderation tests.

CIQ scores moderated the within-person association between wives’ anxiety and their own ratings of positive relationship quality that same day, γ31w = 0.017, t(32) = 2.57, p < .05, such that for wives who reported low CIQ scores, their anxiety was negatively associated with their positive RQ. For wives who reported high CIQ scores, their anxiety was not associated with their positive RQ. Figure 1 is the visual representation of this interaction, for CIQ scores one standard deviation above and below the mean. CIQ scores did not moderate any other hypothesized within-dyad associations, Positive RQ: γ31h = 0.001, t(32) = 0.17, ns; Negative RQ: γ31w = −0.006, t(32) = −0.89, ns; γ31h = 0.005, t(32) = 0.79, ns. As hypothesized, DAS did not moderate the association between anxiety and negative or positive RQ, Positive RQ: γ32w = 0.005, t(32) = 0.60, ns; γ32h = 0.004, t(32) = 0.52, ns; Negative RQ: γ32w = −0.011, t(32) = −1.20, ns; γ32h = −0.010, t(32) = −1.24, ns.

Figure 1 Prediction of wives’ relationship quality (RQ) with wives’ anxiety as a function of high and low Couples Interaction Questionnaire (CIQ; Craske et al., 1989) scores.

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