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The aim of the study was to investigate the relationship among conflict distress, conflict attributions (self/partner blame), perceived conflict behaviors (similarity/difference) and relationship satisfaction. Relationship Conflict Inventory (RCI), Dyadic Adjustment Scale (DAS), Conflict Behaviors Questionnaire and Demographic Information Form was administered to 58 dating couples. In order to investigate the predictive power of conflict distress level, conflict attributions (self/partner blame), perceived conflict behaviors (similarity/difference) and demographic variables on relationship satisfaction stepwise regression analyses was carried out. Moreover, separate cross partial pairwise intraclass correlations conducted in order to examine the relationship between one partner&#039 / s conflict distress level, conflict attributions (self/partner blame), perceived conflict behaviors (similarity/difference) and the other partner&#039 / s relationship satisfaction / and to examine the relationship between one partner&#039 / s conflict distress, conflict attributions (self/partner blame) and the other partner&#039 / s perceived conflict behaviors (similarity/difference). Additionally, it was also aimed to examine demographic variables&#039 / (namely, gender) effects on each variable and in all analysis. The results revealed that higher levels of conflict distress and perceived difference on conflict behaviors predict lower levels of relationship satisfaction. Additionally, results yielded that in predicting women&#039 / s relationship satisfaction conflict distress accounts as the only variable, whereas for men similarity on perceived conflict behaviors and blaming self predicted relationship saitsfaction. It is also found that one partner&#039 / s conflict distress, partner blame and perceived conflict behavior difference negatively correlated with the other partner&#039 / s relationship satisfaction / and one partner&#039 / s conflict distress and partner blame is positively correlated with the other partner&#039 / s perceived conflict behaviors (similarity/difference). Furthermore, results indicated no gender differences on conflict distress level, conflict attributions (self/partner blame), and perceived conflict behavior (similarity/difference). The results are discussed in the light of literature.

Clark (2008) analyzed the role of provocation on dating partners’ level of aggression and found they were more aggressive in jealousy-provoking situations. Using the couple-level dataset collected by Clark, we examine the relationship of gender and setting on provoked interpersonal violence, and compare the accuracy of several analytical approaches on interpreting dyadic data. Results indicate some findings from Clark are extremely robust. For instance, consistent with previous findings, the significant role of provocation on aggression in a dating context is further supported in the current study (Bettencourt & Miller, 1996; Jacquin et al., 2006). Clark suggested gender symmetry in levels of aggression. However, results show a significant effect of gender, in that females were more passive aggressive than males. One implication of this study is that when analyzing dyadic data, a multi-level modeling (MLM) approach best represents the relationship between the outcome and predictors when compared to other analytical approaches.

Previous research indicates a high rate of long distance relationships, especially among young adults. Yet, research in this area is lacking, particularly regarding the role of video chatting. Through the lens of the media richness theory and the hyperpersonal model, this qualitative study explores how video chatting impacts idealization and disillusionment in young adults’ long distance dating relationships. Data was collected through semi-structured interviews with both partners of six heterosexual couples. Data was analyzed using the constant comparative approach and following the basic framework of open, axial, and selective coding used in grounded theory research. Results indicate that video chatting helps partners feel close to one another, though partners must still manage the differences between feeling close and actually being close. Couples use idealization and uncertainty management to reduce disillusionment, and couples who anticipate changes manage those changes more successfully. These findings suggest that video chatting mimics in-person communication more accurately than any other technology, though it cannot replace true geographic proximity. Nonetheless, video chatting appears to help minimize disillusionment by promoting healthy idealization for couples who use it throughout their long distance dating relationship.