The moderating effect of recipients’ attachment anxiety on the linear Figure SM.4.5. association between daily levels of perceived emotional support by the partner and recipients’ depressed mood (Study 4). Low and high attachment anxiety and low and high emotional support are Note. indexed by 1 SD below and above the mean. The moderating effect of recipients’ attachment anxiety on the Figure SM.4.6. curvilinear association between daily levels of perceived emotional support by the partner and recipients’ daily distancing (Study 4). The values on the x-axis represent the of perceived emotional support by Note. the partner reported in Study 4 (1 = no partner support, 7 = very high levels of partner support). Low and high attachment anxiety are indexed by 1 SD below and above the mean. 5. How to Calculate Inflection Points The following section provides supplementary materials providing examples for working out the inflection points of each moderated curve in a moderated curvilinear interaction. Step-by-Step Example for Study 1, Figure 1. (1) First, using standard unconstrained optimization techniques (see Stewart, 2011) we composed an equation reflecting the moderated curvilinear effect in Figure 1 where = x partners’ practical support and = recipients’ attachment avoidance. z
Figure SM.4.5. The moderating effect of recipients’ attachment anxiety on the linear association between daily levels of perceived emotional support by the partner and recipients’ depressed mood (Study 4). Note. Low and high attachment anxiety and low and high emotional support are indexed by 1 SD below and above the mean. Figure SM.4.6. The moderating effect of recipients’ attachment anxiety on the curvilinear association between daily levels of perceived emotional support by the partner and recipients’ daily distancing (Study 4). Note. The values on the x-axis represent the of perceived emotional support by the partner reported in Study 4 (1 = no partner support, 7 = very high levels of partner support). Low and high attachment anxiety are indexed by 1 SD below and above the mean. 5. How to Calculate Inflection Points The following section provides supplementary materials providing examples for working out the inflection points of each moderated curve in a moderated curvilinear interaction. Step-by-Step Example for Study 1, Figure 1. (1) First, using standard unconstrained optimization techniques (see Stewart, 2011) we composed an equation reflecting the moderated curvilinear effect in Figure 1 where x = partners’ practical support and z = recipients’ attachment avoidance.