Half Empty and Half Full? Biased Perceptions of Compassionate Love and Effects of Dyadic Complementarity.

The prevailing theory on relationship judgments for interaction attributes suggests individuals tend to underestimate a romantic partner's expressions of compassionate love and that such underestimation is beneficial for the relationship. Yet, limited research has incorporated dyadic perspectives to assess how biased perceptions are associated with both partners' outcomes. In two daily studies of couples, we used distinct analytical approaches (Truth and Bias Model; Dyadic Response Surface Analysis) to inform perspectives on how biased perceptions are interrelated and predict relationship satisfaction. Consistent with prior research, people demonstrated an underestimation bias. However, there were differential effects of biased perceptions for actors versus partners: Underestimation predicted lower actor satisfaction but generally higher satisfaction for partners. Furthermore, we find evidence for complementarity effects: partners' directional biases were inversely related, and couples were more satisfied when partners had opposing patterns of directional bias. Findings help integrate theoretical perspectives on the adaptive role of biased relationship perceptions.

Feeling loved as a strong link in relationship interactions: Partners who feel loved may buffer destructive behavior by actors who feel unloved.

Feeling loved (loved, cared for, accepted, valued, understood) is inherently dyadic, yet most prior theoretical perspectives and investigations have focused on how actors feeling (un)loved shapes actors' outcomes. Adopting a dyadic perspective, the present research tested whether the established links between actors feeling unloved and destructive (critical, hostile) behavior depended on partners' feelings of being loved. Does feeling loved need to be mutual to reduce destructive behavior, or can partners feeling loved compensate for actors feeling unloved? In five dyadic observational studies, couples were recorded discussing conflicts, diverging preferences or relationship strengths, or interacting with their child (total N = 842 couples; 1,965 interactions). Participants reported how much they felt loved during each interaction and independent coders rated how much each person exhibited destructive behavior. Significant Actors' × Partners' Felt-Loved interactions revealed a strong-link/mutual felt-unloved pattern: partners' high felt-loved buffered the damaging effect of actors' low felt-loved on destructive behavior, resulting in actors' destructive behavior mostly occurring when both actors' and partners' felt-loved was low. This dyadic pattern also emerged in three supplemental daily sampling studies. Providing directional support for the strong-link/mutual felt-unloved pattern, in Studies 4 and 5 involving two or more sequential interactions, Actors' × Partners' Felt-Loved in one interaction predicted actors' destructive behavior within couples' subsequent conflict interactions. The results illustrate the dyadic nature of feeling loved: Partners feeling loved can protect against actors feeling unloved in challenging interactions. Assessing Actor × Partner effects should be equally valuable for advancing understanding of other fundamentally dyadic relationship processes. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Toward an optimized measure of perceived partner responsiveness: Development and validation of the perceived responsiveness and insensitivity scale.

Perceived partner responsiveness (PPR; Reis & Shaver, Handbook of personal relationships, 1988, Wiley)-the belief that one's partner will attend to core concerns-is a construct in basic relationship research that can help evaluate intimacy in couple therapy. However, research into PPR is hampered by a lack of standardized measurement. Three studies were undertaken to develop and evaluate an optimized self-report PPR measure. In Study 1, n = 2,334 respondents completed 246 candidate items derived from 19 PPR measures. Exploratory factor analyses identified two underlying dimensions, Responsiveness and Insensitivity. Item response theory was used to develop two 8-item subscales for the Perceived Responsiveness and Insensitivity scale (PRI), both of which showed incremental prediction over global satisfaction. In Study 2, n = 173 respondents completed the brief PRI along with measures of global relationship evaluations and concrete relationship behaviors every other week for 8 weeks. Random intercept cross-lagged panel models found the PRI subscales were more sensitive than global evaluations to fluctuations in support and conflict. In Study 3, n = 161 heterosexual couples completed the brief PRI along with self-reports of responsive and insensitive behaviors. Actor-partner interdependence models demonstrated the PRI subscales were associated with partners' self-reported behaviors even after controlling for own behaviors. Thus, the PRI offers a PPR measure that demonstrates desirable properties for treatment research including (a) incremental validity over global satisfaction, (b) ability to detect meaningful change over time, and (c) sensitivity to partners' behaviors in the relationship. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies.

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) predicted two to four times more variance than partner-reported variables (i.e., the partner's ratings on those variables). Importantly, individual differences and partner reports had no predictive effects beyond actor-reported relationship-specific variables alone. These findings imply that the sum of all individual differences and partner experiences exert their influence on relationship quality via a person's own relationship-specific experiences, and effects due to moderation by individual differences and moderation by partner-reports may be quite small. Finally, relationship-quality change (i.e., increases or decreases in relationship quality over the course of a study) was largely unpredictable from any combination of self-report variables. This collective effort should guide future models of relationships.

Does support need to be seen? Daily invisible support promotes next day relationship well-being.

Direct and overt visible support promotes recipients' relationship satisfaction but can also exacerbate negative mood. In contrast, subtle and indirect invisible support can bypass costs to mood, but it is unclear whether it undermines or boosts relationship satisfaction. Because invisible support is not perceived by recipients, its relational impact may be delayed across time. Thus, the current research used three dyadic daily diary studies (total N = 322 married couples) to explore, for the first time, both the immediate (same day) and lagged (next day) effects of visible and invisible support on recipients' mood and relationship satisfaction. Consistent with prior research, visible support was associated with recipients reporting greater relationship satisfaction and greater anxiety the same day. In contrast, but also consistent with prior research, invisible support had no significant same-day effects, and thus avoided mood costs. Nevertheless, invisible support was associated with recipients reporting greater relationship satisfaction the next day. Study 3 provided evidence that such effects emerged because invisible support was also associated with greater satisfaction with partners' helpful behaviors (e.g., household chores) and relationship interactions (e.g., time spent together) on the next day. These studies demonstrate the importance of assessing different temporal effects associated with support acts (which may otherwise go undetected) and provide the first evidence that invisible support enhances relationship satisfaction but does so across days. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Compassionate acts and everyday emotional well-being among newlyweds.

Compassion is deeply prized in Western marriages yet its benefits for emotional well-being have been investigated empirically only rarely. This research examined the association between compassionate acts and everyday emotional well-being in 175 newlywed couples. Following prior research and theory, we defined compassionate acts as caregiving that is freely given, focused on understanding and genuine acceptance of the other's needs and wishes, and expressed through openness, warmth, and a willingness to put a partner's goals ahead of one's own. We adopted an explicitly dyadic perspective so that we could consider how compassionate acts as well as their recognition influence the affective state of both donors and recipients. Our findings, which controlled for the general affective tone of marital interaction, revealed that compassionate acts are beneficial for both donors and recipients, and that the effects on the donor are stronger than the effects on the recipient. Moreover, we found that whereas recipients' benefits depend on their noticing the donors' actions, donors benefit regardless of whether the recipients explicitly notice the compassionate acts. The pattern of results for husbands and wives was very similar. These results suggest that in terms of emotional well-being, for donors, acting compassionately may be its own reward. (PsycINFO Database Record

Positive and negative evaluation of relationships: Development and validation of the Positive-Negative Relationship Quality (PN-RQ) scale.

Three studies were undertaken to develop the Positive-Negative Relationship Quality scale (PN-RQ), conceptualizing relationship quality as a bidimensional construct in which the positive qualities of a relationship are treated as distinct from its negative qualities. Analyses in emerging adults (Study 1: N = 1,814), in online respondents (Study 2: N = 787) with a 2-week follow-up, and in a single group pre-intervention-post-intervention study (Study 3: N = 54) of the Promoting Awareness, Improving Relationships (PAIR) program provided support for (a) positive and negative qualities as distinct dimensions via confirmatory factor analysis (CFA), (b) the PN-RQ representing an item response theory-optimized measure of these 2 dimensions, (c) substantive differences between indifferent (low positive and negative qualities) and ambivalent (high positive and negative qualities) relationships potentially obscured by unidimensional scales, (d) high levels of responsiveness of the PN-RQ scales to change over time, (e) the unique predictive validity offered over time by the PN-RQ scores beyond that offered by scores of current unidimensional measures of relationship quality, and (f) the unique longitudinal information gained by using the PN-RQ as a bidimensional outcome measure in an intervention study. Taken together, the studies offer promising support for the PN-RQ scales suggesting that they have the potential to advance both basic and applied research. (PsycINFO Database Record

When does familiarity promote versus undermine interpersonal attraction? A proposed integrative model from erstwhile adversaries.

This article began as an adversarial collaboration between two groups of researchers with competing views on a longstanding question: Does familiarity promote or undermine interpersonal attraction? As we explored our respective positions, it became clear that the limitations of our conceptualizations of the familiarity-attraction link, as well as the limitations of prior research, were masking a set of higher order principles capable of integrating these diverse conceptualizations. This realization led us to adopt a broader perspective, which focuses on three distinct relationship stages-awareness, surface contact, and mutuality-and suggests that the influence of familiarity on attraction depends on both the nature and the stage of the relationship between perceivers and targets. This article introduces the framework that emerged from our discussions and suggests directions for research to investigate its validity.

In live interaction, does familiarity promote attraction or contempt? Reply to Norton, Frost, and Ariely (2011).

In this reply, we address and refute each of Norton, Frost, and Ariely's (see record 2011-18560-001) specific objections to the conclusion that, ceteris paribus, familiarity breeds liking in live interaction. In particular, we reiterate the importance of studying live interaction rather than decontextualized processes. These rebuttals notwithstanding, we concur with Norton et al.'s call for an integrative model that encompasses both Norton, Frost, and Ariely's (see record 2006-23056-008) results and ours (see record 2011-04644-001), and we point readers toward a description of a possible model presented in our original article.

Familiarity does indeed promote attraction in live interaction.

Does familiarity promote attraction? Prior research has generally suggested that it does, but a recent set of studies by Norton, Frost, and Ariely (2007) challenged that assumption. Instead, they found that more information about another person, when that information was randomly selected from lists of trait adjectives, using a trait evaluation paradigm, promoted perceptions of dissimilarity and, hence, disliking. The present research began with the assumption that natural social interaction involves contexts and processes not present in Norton et al.'s research or in the typical familiarity experiment. We theorized that these processes imply a favorable impact of familiarity on attraction. Two experiments are reported using a live interaction paradigm in which two previously unacquainted same-sex persons interacted with each other for varying amounts of time. Findings strongly supported the "familiarity leads to attraction" hypothesis: The more participants interacted, the more attracted they were to each other. Mediation analyses identified three processes that contribute to this effect: perceived responsiveness, increased comfort and satisfaction during interaction, and perceived knowledge.

Are you happy for me? How sharing positive events with others provides personal and interpersonal benefits.

Sharing good news with others is one way that people can savor those experiences while building personal and interpersonal resources. Although prior research has established the benefits of this process, called capitalization, there has been little research and no experiments to examine the underlying mechanisms. In this article, we report results from 4 experiments and 1 daily diary study conducted to examine 2 mechanisms relevant to capitalization: that sharing good news with others increases the perceived value of those events, especially when others respond enthusiastically, and that enthusiastic responses to shared good news promote the development of trust and a prosocial orientation toward the other. These studies found consistent support for these effects across both interactions with strangers and in everyday close relationships.