Conducted 2(gender) X 3(aggression history) ANOVAs. There was only one purchase AZD-8835 variable for which the interaction between ARA290 manufacturer gender and aggression history was significant: having children together, F(2,1272) = 5.23, p < .01. Because this variable is nominal in nature, we probed this interaction by running chi-square tests separately for men and women. For men, having children together was not significantly related to reports of aggression, but for women, those who had never experienced aggressionNIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author ManuscriptJ Fam Psychol. Author manuscript; available in PMC 2011 December 1.Rhoades et al.Pagewere less likely to have children with their partners (8.2 ) than those who reported aggression in the past, but not the last year (30.9 ), and those who reported aggression within the last year (23.1 ). Predicting Break-up Among those who Experienced Aggression in the Last Year (Hypothesis 3) Our final hypothesis was that among those who had experienced aggression in the last year, commitment-related constructs would explain additional variance in relationship stability over time, controlling for relationship adjustment. To test this hypothesis, we compared the variance explained in relationship stability from two logistic regressions. The first logistic regression included only relationship adjustment as a predictor of relationship stability over the 12-month period. According to the Nagelkerke R2 statistic, relationship adjustment alone explained 9.1 of the variance in relationship stability, B = 0.14, SE(B) = 0.03, eB = 1.16. Our second logistic regression (Table 2) included relationship adjustment plus all of the commitment-related variables measured here (i.e., dedication, felt constraint, alternative quality, unavailability of other partners, concern for partner's welfare, social pressure to stay together, structural investments, termination procedures, material constraints, living together status, length of relationship, and having a child together or by a previous partner). This model explained 31.9 of the variability in relationship stability. A chi-square test comparing the log-likelihoods for these two models confirmed our hypothesis that the model including the indices of commitment would explain additional variance in relationship stability over the relationship-adjustment only model, 2(13) = 128.51, p < .001. In separate logistic regressions, relationship adjustment, living together, longer length of relationship, higher dedication, lower felt constraint, lower alternative quality, more unavailability of other partners, higher social pressure to stay together, more structural investments, greater difficulty in termination procedures, more material constraints, and having a child together each predicted staying together (significant Wald-test values ranged from 4.23 to 28.45, ps < .05) but when entered simultaneously in the model in Table 2, only relationship adjustment, living together, length of relationship, social pressure, and the unavailability of other partners were unique predictors of stability. To check for differences between men and women in the variance explained in break-up behavior among those who had experienced aggression in the last year (hypothesis 3), we examined the two logistic regressions described above among men and among women separately. The results were very similar across men and women, with the full logistic regressions (including all commitment-related v.Conducted 2(gender) X 3(aggression history) ANOVAs. There was only one variable for which the interaction between gender and aggression history was significant: having children together, F(2,1272) = 5.23, p < .01. Because this variable is nominal in nature, we probed this interaction by running chi-square tests separately for men and women. For men, having children together was not significantly related to reports of aggression, but for women, those who had never experienced aggressionNIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author ManuscriptJ Fam Psychol. Author manuscript; available in PMC 2011 December 1.Rhoades et al.Pagewere less likely to have children with their partners (8.2 ) than those who reported aggression in the past, but not the last year (30.9 ), and those who reported aggression within the last year (23.1 ). Predicting Break-up Among those who Experienced Aggression in the Last Year (Hypothesis 3) Our final hypothesis was that among those who had experienced aggression in the last year, commitment-related constructs would explain additional variance in relationship stability over time, controlling for relationship adjustment. To test this hypothesis, we compared the variance explained in relationship stability from two logistic regressions. The first logistic regression included only relationship adjustment as a predictor of relationship stability over the 12-month period. According to the Nagelkerke R2 statistic, relationship adjustment alone explained 9.1 of the variance in relationship stability, B = 0.14, SE(B) = 0.03, eB = 1.16. Our second logistic regression (Table 2) included relationship adjustment plus all of the commitment-related variables measured here (i.e., dedication, felt constraint, alternative quality, unavailability of other partners, concern for partner's welfare, social pressure to stay together, structural investments, termination procedures, material constraints, living together status, length of relationship, and having a child together or by a previous partner). This model explained 31.9 of the variability in relationship stability. A chi-square test comparing the log-likelihoods for these two models confirmed our hypothesis that the model including the indices of commitment would explain additional variance in relationship stability over the relationship-adjustment only model, 2(13) = 128.51, p < .001. In separate logistic regressions, relationship adjustment, living together, longer length of relationship, higher dedication, lower felt constraint, lower alternative quality, more unavailability of other partners, higher social pressure to stay together, more structural investments, greater difficulty in termination procedures, more material constraints, and having a child together each predicted staying together (significant Wald-test values ranged from 4.23 to 28.45, ps < .05) but when entered simultaneously in the model in Table 2, only relationship adjustment, living together, length of relationship, social pressure, and the unavailability of other partners were unique predictors of stability. To check for differences between men and women in the variance explained in break-up behavior among those who had experienced aggression in the last year (hypothesis 3), we examined the two logistic regressions described above among men and among women separately. The results were very similar across men and women, with the full logistic regressions (including all commitment-related v.
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