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29 april 2023, Contains fulltext : 292839.pdf (Publisher’s version ) (Open Access), People in close relationships can, and often do, experience ambivalence (i.e., mixed feelings) toward their romantic partner. Although ambivalence is common and consequential, research on this phenomenon is fragmented. The present work examines how four different types of ambivalence (i.e., objective, subjective, implicit-explicit, and implicit ambivalence) relate to well-being. In four intensive studies (N = 1,134) and internal meta-analyses, ambivalence was related to lower personal and relational well-being, but this association was only statistically significant for explicit (i.e., objective and subjective) types of ambivalence, with subjective ambivalence showing the strongest association, particularly for relationship outcomes. This work is the first systematic study of ambivalence and well-being in relationships and highlights the importance of capturing mixed feelings in relationship research and how such focus can benefit research on attitudinal ambivalence and well-being more broadly.

06 september 2023, Contains fulltext : 296316.pdf (Publisher’s version ) (Open Access), Satisfying romantic relationships offer numerous social and health benefits, making it critical to understand the trajectory of relationship satisfaction. In recent years, research has begun to examine the role of automatic processes in relationship contexts. In particular, a growing number of studies have incorporated indirect (implicit) measures developed by socio-cognitive researchers to capture people's automatic partner attitudes - the spontaneous affective reactions toward their partner that people may at times be unable to access or unwilling to self-report in more direct (explicit) measures like questionnaires. In this paper, we review work illustrating how automatic partner attitudes can help explain, predict, and promote both the functioning and the well-being of romantic couples. That is, we integrate theoretical perspectives on interdependence, attachment, and attitudes to discuss empirical evidence relative to why automatic partner attitudes differ from self-reported judgments of relationship satisfaction, how such attitudes form in the context of real-world relationship experiences, and under which conditions they affect dyadic interactions in everyday life. Further, we identify important questions that remain unanswered and provide recommendations that may benefit future work on couples and beyond.

Item does not contain fulltext, Implicit ambivalence involves holding strong positive and negative implicit evaluations toward the same object. This state is common in close relationships because even the most satisfying partnerships involve in conflicts and other frustrating experiences that can be explained away through effortful motivated reasoning yet remain in memory as mental representations involving the partner. In fact, it appears normative for implicit measures of partner attitudes to reveal implicit ambivalence. Despite being common, however, little is known about the consequences of implicit ambivalence. The present longitudinal investigation provides initial evidence that implicit ambivalence can motivate relationship improvements. Across two studies of newlywed couples (N = 448 individuals), multilevel dyadic modeling revealed that higher implicit ambivalence was associated with higher motivation to make efforts to improve current marital problems, which predicted reduced marital-problems severity reported by the partner and increased marital satisfaction reported by both spouses 4 months later.

17 maart 2022, Item does not contain fulltext, Evidence suggesting that implicit partner evaluations (IPEs), but not explicit evaluations (EPEs), can predict later changes in satisfaction and relationship status has led researchers to postulate that IPEs must be especially sensitive to relational reward and costs. However, supporting evidence for this assumption remains scarce, and very little is known regarding how IPEs versus EPEs actually update in everyday life. Two studies (one in-lab dyadic interaction study, N = 255, and one 14-day dyadic diary study, N = 348) investigated updating in IPEs and EPEs in the context of real-life relationship experiences. Study 1 revealed that the level of positive and negative experiences that a couple encountered while discussing a divergence of interests in their relationship predicted pre-to-post changes in EPEs, but not in IPEs. Study 2 revealed that IPEs showed less sensitivity to everyday relationship experiences across multiple metrics over the course of 14 days. Specifically, compared with EPEs, IPEs fluctuated less at the within- (vs. between-) person level, showed less-abrupt changes from day-to-day, and had a substantially weaker relationship with same-day positive and negative experiences. Rather than covarying with same-day experiences, IPEs appeared sensitive to relationship experiences aggregated across multiple prior days as well as to highly diagnostic relationship experiences, such as breakup. Consistent with recent advances in social-cognitive research, these findings support a modified account of IPE sensitivity, according to which IPEs show only gradual shifts under everyday circumstances, but more-dramatic shifts under highly diagnostic circumstances. Implications of these findings for close relationships and implicit social cognition research are discussed.

Item does not contain fulltext, The quality of romantic relationships influences physical and mental health. However, maintaining happy and healthy relationships is challenging; relationship satisfaction declines over time, and relationship dissolution is frequent. This raises the question of which factors contribute to the maintenance versus decline of relationship satisfaction. In this Review, we examine the key factors that have been linked to relationship satisfaction in both cross-sectional and longitudinal studies. Specifically, we describe how self-reported perceptions (subjective perceptions of the self, the partner or the relationship), implicit evaluations (automatic evaluations of one's partner assessed indirectly) and objective indexes (demographics, life events, communication patterns and biological indexes) relate to relationship satisfaction. This synthesis suggests that self-reported perceptions are not always the most reliable predictors of longitudinal changes in relationship satisfaction. Thus, to uncover why some relationships flourish and others struggle over time, future research should not solely focus on self-reported perceptions, but also on implicit evaluations, demographics, life events, communication patterns and biological factors, and their combination.

Item does not contain fulltext, People in romantic relationships tend to have positive feelings toward their partner and want their relationship to last. However, maintaining a romantic relationship over time is challenging, and people can often experience mixed and conflicting feelings (i.e., ambivalence) toward their significant other. While research has identified the serious consequences that ambivalence can have for personal and relational well-being, very little is known about the factors that can lead people to experience ambivalence in relationships. The present work examines how extradyadic desire (i.e., desire for someone other than the partner), a common difficulty people face in the context of monogamy, is a situation in which people feel more ambivalent toward their partner. In three studies (N = 1,178) using experimental, daily diary, and longitudinal approaches, we find that feelings of desire for an attractive alternative increase ambivalence toward the current partner, above and beyond how much people actually value their partner, and that this has short- and long-term negative consequences for personal and relational well-being. Furthermore, while most people could identify an attractive alternative in their life, desire for the alternative-rather than just their presence-seems to play a stronger role in increasing ambivalence. This work highlights the emotional processes through which attractive alternatives pose a threat to romantic relationships and the role that ambivalence plays in daily life and over time.

Item does not contain fulltext, Recent work suggests that implicit partner evaluations have long-term implications for relationship success. However, little evidence shows whether and under which conditions implicit partner evaluations affect relationship maintenance processes in daily life, especially those exhibited in situations that may be highly decisive for the fate of the relationship, such as when partners hurt each other. Drawing upon dual-process theories, we predicted that, when executive control is limited - either as a trait or a state - people's implicit partner evaluations influence forgiveness toward their partner. Results revealed that when temporarily impairing people's executive control with an experimental manipulation (Study 1), or for people with lower trait executive control (Study 2), more positive implicit partner evaluations were associated with more forgiveness, both in laboratory settings and in an 8-day diary. These findings highlight the importance of implicit partner evaluations under specific, yet common, conditions for promoting reparatory responses that are key to relationship success.

Item does not contain fulltext, Do people realize the evaluative feelings that are spontaneously activated by their partner? If so, do they use those evaluations when judging their romantic relationships? To answer these questions, we investigated the association between automatic partner attitudes and judgments of relationship satisfaction in 7 studies. Study 1 was a meta-analysis of 86 correlations that revealed a very weak association between implicitly and explicitly assessed relationship evaluations, and Studies 2a–2c revealed that people failed to accurately report their automatic partner attitudes even when specifically asked to do so. Consistent with the idea that such inaccuracy emerged in part because motivational factors led people to override their automatic attitudes, Studies 3 and 4 demonstrated that automatic partner attitudes better aligned with relationship judgments when people were incentivized with money (Study 3) and had dissolved their relationship (Study 4). Nevertheless, consistent with the idea that overriding automatic attitudes requires the opportunity to deliberate, Studies 4 and 5 demonstrated that automatic partner attitudes better aligned with relationship judgments when people experienced more stress at the daily level (Study 4) and yearly for two years (Study 5). In Study 5, the interaction between stress and automatic attitudes emerged controlling indicators of negativity and was further moderated by relationship enhancing motivations among wives. These studies (a) help explain why automatic partner attitudes predict self-reported relationship satisfaction over time and (b) provide support for theories of social cognition suggesting that people have access to implicitly assessed attitudes that is obscured by motivations and opportunities to deliberate.

Vrije Universiteit Amsterdam, 30 september 2021, Promotores : Righetti, F., Lange, P.A.M. van Co-promotor : Hofmann, W., Item does not contain fulltext

Contains fulltext : 221825.pdf (Publisher’s version ) (Closed access), What predicts how happy people are with their romantic relationships? Relationship science - an interdisciplinary field spanning psychology, sociology, economics, family studies, and communication - has identified hundreds of variables that purportedly shape romantic relationship quality. The current project used machine learning to directly quantify and compare the predictive power of many such variables among 11,196 romantic couples. People's own judgments about the relationship itself - such as how satisfied and committed they perceived their partners to be, and how appreciative they felt toward their partners - explained approximately 45% of their current satisfaction. The partner's judgments did not add information, nor did either person’s personalities or traits. Furthermore, none of these variables could predict whose relationship quality would increase versus decrease over time.Given the powerful implications of relationship quality for health and well-being, a central mission of relationship science is explaining why some romantic relationships thrive more than others. This large-scale project used machine learning (i.e., Random Forests) to 1) quantify the extent to which relationship quality is predictable and 2) identify which constructs reliably predict relationship quality. Across 43 dyadic longitudinal datasets from 29 laboratories, the top relationship-specific predictors of relationship quality were perceived-partner commitment, appreciation, sexual satisfaction, perceived-partner satisfaction, and conflict. The top individual-difference predictors were life satisfaction, negative affect, depression, attachment avoidance, and attachment anxiety. Overall, relationship-specific variables predicted up to 45% of variance at baseline, and up to 18% of variance at the end of each study. Individual differences also performed well (21% and 12%, respectively). Actor-reported variables (i.e., own relationship-specific and individual-difference variables) predi

Item does not contain fulltext, This review offers close relationships as a fruitful avenue to address long-lasting questions and current controversies in implicit social cognition research. Close relationships provide a unique opportunity to study strong attitudes that are formed and updated through ongoing contact with significant others and appear to have important downstream consequences. Therefore, close relationship contexts enable researchers to apply fine-grained, dyadic, longitudinal methodologies to provide unique insights regarding whether and how automatic attitudes relate to personal experience, change meaningfully and reliably over time, and predict consequential judgments and behaviors. Further, given that close relationships are critical to people's well-being and health, applying implicit social cognition theories to close relationships may also offer practical benefits regarding real-world issues related to relationship decay. In this regard, we provide guidance for future research by highlighting how continuing to refine our understanding of implicit social cognition in close relationships can inform interventions and reliably benefit society

Item does not contain fulltext, Prosocial behavior is often thought to bring benefits to individuals and relationships. Do such benefits exist when prosocial behavior is costly for the individual, such as when people are sacrificing for their partner or relationship? Although different theoretical accounts would predict that sacrifice is either positively or negatively associated with personal and relational well-being, empirical work in this regard has been inconclusive. We conducted a meta-analytic synthesis of 82 data sets and 9,547 effect sizes (N = 32,053) to test the link between sacrifice and both personal and relationship well-being for both the individual who performs the sacrifice and their romantic partner. We examined four different facets of sacrifice (i.e., willingness to sacrifice, behavioral sacrifice, satisfaction with sacrifice, and costs of sacrifice). Results revealed that these facets were differently associated with well-being. Specifically, an individual's willingness to sacrifice was positively associated with their own personal and relationship well-being and with their partner's relationship well-being (.09 < rs < .27). However, behavioral sacrifice was negatively associated with own personal well-being (r = -.07). Satisfaction with sacrifice was positively associated with individual and partner well-being (.11 < rs < .43). Costs of sacrifice were negatively related to one's own personal and relationship well-being and to the partner's relationship well-being (-.10 < rs < -.26). Some moderators were also identified. We discuss the implications of these findings for research on prosocial behavior and relationships, address the implications of the methodologies used to study prosocial behavior, and suggest directions for future research.

Contains fulltext : 234295.pdf (Publisher’s version ) (Open Access), This work adopts an Interdependence Theory framework to investigate how the features of interdependent situations that couples face in their daily life (i.e., situations in which partners influence each other's outcomes) shape attachment security toward their current partners. An experience sampling study examined attachment tendencies and features of interdependent situations that people experience with their partner in daily life to predict satisfaction and trust in their relationship, and changes in attachment avoidance and anxiety toward their partner over time. Results revealed that encountering situations with corresponding outcomes (i.e., situations in which both partners have the same preferences) and with information certainty (i.e., situations in which there is clear knowledge of each partner's preferences) assuage people's insecurity. On the contrary, situations of mutual current and future interdependence (i.e., situations in which each person's current or future outcomes are dependent on their partner's behavior) undermined security for anxiously attached individuals. Power (i.e., the asymmetry in partners' dependence) was not related to attachment security. This work underscores the importance of studying the role of the situations that partners experience in their daily life and the way they are related to relationship feelings and cognitions.

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Item does not contain fulltext, Growing evidence suggests that the seeds of relationship decay can be detected via implicit partner evaluations even when explicit evaluations fail to do so. However, little is known about the concrete daily relational processes that explain why these gut feelings are such important determinants of relationships' long-term outcomes. The present integrative multimethod research yielded a novel finding: that participants with more positive implicit partner evaluations exhibited more constructive nonverbal (but not verbal) behavior toward their partner in a videotaped dyadic interaction. In turn, this behavior was associated with greater satisfaction with the conversation and with the relationship in the following 8-day diary portion of the study. These findings represent a significant step forward in understanding the crucial role of automatic processes in romantic relationships. Together, they provide novel evidence that relationship success appears to be highly dependent on how people spontaneously behave in their relationship, which may be ultimately rooted in their implicit partner evaluations.