230 research outputs found

    Identifying the strongest self-report predictors of sexual satisfaction using machine learning

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    Sexual satisfaction has been robustly associated with relationship and individual well-being. Previous studies have found several individual (e.g., gender, self-esteem, and attachment) and relational (e.g., relationship satisfaction, relationship length, and sexual desire) factors that predict sexual satisfaction. The aim of the present study was to identify which variables are the strongest, and the least strong, predictors of sexual satisfaction using modern machine learning. Previous research has relied primarily on traditional statistical models which are limited in their ability to estimate a large number of predictors, non-linear associations, and complex interactions. Through a machine learning algorithm, random forest (a potentially more flexible extension of decision trees), we predicted sexual satisfaction across two samples (total N = 1846; includes 754 individuals forming 377 couples). We also used a game theoretic interpretation technique, Shapley values, which allowed us to estimate the size and direction of the effect of each predictor variable on the model outcome. Findings showed that sexual satisfaction is highly predictable (48–62% of variance explained) with relationship variables (relationship satisfaction, importance of sex in relationship, romantic love, and dyadic desire) explaining the most variance in sexual satisfaction. The study highlighted important factors to focus on in future research and interventions

    A machine learning approach to predicting perceived partner support from relational and individual variables

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    Perceiving one’s partner as supportive is considered essential for relationships, but we know little about which factors are central to predicting perceived partner support. Traditional statistical techniques are ill-equipped to compare a large number of potential predictor variables and cannot answer this question. This research used machine learning analysis (random forest with Shapley values) to identify the most salient self-report predictors of perceived partner support cross-sectionally and 6 months later. We analyzed data from five dyadic data sets (N = 550 couples) enabling us to have greater confidence in the findings and ensure generalizability. Our novel results advance the literature by showing that relationship variables and attachment avoidance are central to perceived partner support, whereas partner similarity, other individual differences, individual well-being, and demographics explain little variance in perceiving partners as supportive. The findings are crucial in constraining and further developing our theories on perceived partner support

    Using Spectral and Cross-Spectral Analysis to Identify Patterns and Synchrony in Couples\u27 Sexual Desire

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    Sexual desire discrepancy is one of the most frequently reported sexual concerns for individuals and couples and has been shown to be negatively associated with sexual and relationship satisfaction. Sexual desire has increasingly been examined as a state-like construct that ebbs and flows, but little is known about whether there are patterns in the fluctuation of sexual desire. Utilizing spectral and cross-spectral analysis, we transformed 30 days of dyadic daily diary data for perceived levels of sexual desire for a non-clinical sample of 133 couples (266 individuals) into the frequency domain to identify shared periodic state fluctuations in sexual desire. Spectral analysis is a technique commonly used in physics and engineering that allows time series data to be analyzed for the presence of regular cycles of fluctuation. Cross-spectral analysis allows for dyadic data to be analyzed for shared rates of fluctuation between partners as well as the degree of (a)synchrony (or phase shift) between these fluctuations. Men and women were found to exhibit fluctuations in sexual desire at various frequencies including rates of once and twice per month, and to have sexual desire that was unlikely to fluctuate over periods of three days or less and therefore exhibited persistence. Similar patterns of fluctuation were exhibited within couples and these patterns were found to be largely synchronous. While instances of desire discrepancy may arise due to differences in rates of sexual desire fluctuation and random fluctuations, such instances may be normal for romantic relationships. The results have important implications for researchers, clinicians, and educators in that they corroborate the supposition that sexual desire ebbs and flows and suggest that it does so with predictable regularity

    What Does It Mean to Be Responsive to a Partner’s Sexual Needs? Toward a Definition of Sexual Need Responsiveness

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    Being responsive to a partner’s sexual needs in relationships (i.e., sexual need responsiveness) is associated with higher sexual and relationship satisfaction. Previous research has focused on researcher-led definitions of sexual need responsiveness. The purpose of the present study was to develop a participant-informed definition of sexual need responsiveness. A total of 305 individuals responded to five open-ended questions concerning the definition and behaviors pertaining to sexual need responsiveness. The content analysis results showed that the most common elements in participants’ definition included listening to and accommodating each other's sexual needs and wishes whenever possible, while respecting both partners’ safety and boundaries. Both verbal and non-verbal communication in various forms was used to express and share needs with partners and participants often evaluated responsiveness in terms of their sexual satisfaction. The results provide a participant-informed definition of sexual need responsiveness and can be used to inform research and clinical practice.University of Lausann

    The impact of non-harmonious goals on partner support and taking on opportunities

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    Romantic partners often support each other to progress toward goals. However, at times partners’ goals are not in harmony and conflict with partner or relationship needs, leading to negative consequences for couple members. The present study examined whether non-harmonious opportunities were associated with support provider’s and recipient’s behavior, perceived partner support, and goal outcomes. We further examined whether these effects were moderated by attachment styles. Findings from two experimental (n1= 296, n2= 117) and one dyadic daily diary (n3= 267) showed how having non-harmonious goals lead to problematic goal pursuit. Partners are less likely to behave positively toward the support provider, provide partner support, view their partners as supportive, and report less commitment to partners, and make less goal progress when goal non-harmony is present. Importantly, we did not find moderation effects of attachment styles for these processes. The findings highlight the importance of managing goal non-harmony in couples

    Successful negotiation of goal conflict between romantic partners predicts better goal outcomes during COVID-19: A mixed methods study

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    When romantic partners’ personal goals conflict, this can negatively affect personal goal outcomes, such as progress. In a concurrent mixed-methods study, we investigated whether goal conflict and negation of goal conflict were associated with goal outcomes (progress, confidence, motivation) and what strategies partners used during the COVID-19 pandemic to negotiate goal conflict. Survey participants (n = 200) completed a daily diary for a week and weekly longitudinal reports for a month and interview participants (n = 48) attended a semi-structured interview. Results showed that higher goal conflict was associated with lower goal outcomes, and successful negotiation of goal conflict was associated with better goal outcomes. Qualitative analyses identified three goal conflict negotiation strategies (compromise, integration, concession). Conversations focused on both practical and emotional needs and included respectful communication and space from conflict (timeout or avoidance). The mixed-methods results suggest that goal conflict was low during the pandemic and participants were often able to negotiate goal conflict resulting in better goal outcomes

    Coparenting change after couple therapy using self‐reports and observational data

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    Parent couples are involved in a coparenting bond andin a romantic relationship. Research on couple therapyhas mainly explored the impact of couple therapy onromantic relationships; however, little is known abouthow couple therapy affects the coparenting relation-ship. Self‐reports of positive and negative coparentingand observed emotional behavior in coparenting‐related conversation tasks were assessed pre‐andposttherapy (6 months intervals) in 64 mixed‐sexparental couples. Results showed that mothers andfathers reported more positive coparenting aftertherapy. There were no significant changes in thereported negative coparenting and in the emotionalbehavior. Exploratory analyses indicated gender differ-ences in emotional expression. The findings suggestthat fathers might have been more active in thecoparenting conversation after therapy

    Changes over time in sexual and relationship functioning of people with multiple sclerosis

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    Relationship and sexual satisfaction among people with multiple sclerosis (MS) has received little research attention. This article reports on a longitudinal investigation of the impact of coping style and illness-related variables among people with MS and the general population on sexual and relationship functioning. Both men (n = 120) and women (n= 201) with MS and men (n = 79) and women (n = 160) from the general population participated in the study at two points in time, 6 months apart. People with MS experienced lower levels of sexual activity, sexual satisfaction, and relationship satisfaction and higher levels of sexual dysfunction. Generally speaking, the time 1 levels of the health and coping variables explained little of the variance in the time 2 sexual and relationship variables. However, sexual activity at time 1 contributed significant unique variance to relationship satisfaction at time 2 for MS men, and coping strategies at time I contributed to relationship satisfaction among general population women at time 2. Furthermore, for those respondents who had been diagnosed with MS for less than 7 years, levels of sexual activity at time 2 were predicted by levels of sexual and relationship satisfaction, as well as levels of sexual activity at time 1. These results suggest that strategies used to cope with illness may not play a major role in sexual and relationship satisfaction. However, an examination of these strategies over a longer time frame is needed
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