The negative reciprocity process in marital relationships: A literature review

Salazar, Leslie Ramos

doi:10.1016/j.avb.2015.05.008

Cited by 28 publications

(20 citation statements)

References 30 publications

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“…Contrary to the APIM, the other cause of each person’s Y variable is not the partner’s X variable, but the partner’s Y variable. As one example, the MIM framework is useful to investigate marital satisfaction because of the reciprocity of this concept in relationship researches [ 25 , 26 ]. The details of the method of estimation for MIM are discussed in Ref [ 10 , 27 ].…”

Section: Methodsmentioning

confidence: 99%

Application of the dyadic data analysis in behavioral medicine research: marital satisfaction and anxiety in infertile couples

Maroufizadeh

Hosseini

Foroushani

et al. 2018

BMC Med Res Methodol

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BackgroundDyadic data analysis (DDA) is increasingly being used to better understand, analyze and model intra- and inter-personal mechanisms of health in various types of dyads such as husband-wife, caregiver-patient, doctor-patient, and parent-child. A key strength of the DDA is its flexibility to take the nonindependence available in the dyads into account. In this article, we illustrate the value of using DDA to examine how anxiety is associated with marital satisfaction in infertile couples.MethodsThis cross-sectional study included 141 infertile couples from a referral infertility clinic in Tehran, Iran between February and May 2017. Anxiety and marital satisfaction were measured by the anxiety subscale of the Hospital Anxiety and Depression Scale and 10-Item ENRICH Marital Satisfaction Scale, respectively. We apply and compare tree different dyadic models to explore the effect of anxiety on marital satisfaction, including the Actor-Partner Interdependence Model (APIM), Mutual Influence Model (MIM), and Common Fate Model (CFM).ResultsThis study demonstrated a practical application of the dyadic models. These dyadic models provide results that appear to give different interpretations of the data. The APIM analysis revealed that both men’s and women’s anxiety excreted an actor effect on their own marital satisfaction. In addition, women’s anxiety exerted a significant partner effect on their husbands’ marital satisfaction. In MIM analysis, in addition to significant actor effects of anxiety on marital satisfaction, women’s reports of marital satisfaction significantly predicted men’s marital satisfaction. The CFM analysis revealed that higher couple anxiety scores predicted lower couple marital satisfaction scores.ConclusionIn sum, the study highlights the usefulness of DDA to explore and test the phenomena with inherently dyadic nature. With regard to our empirical data, the findings confirmed that marital satisfaction was influenced by anxiety in infertile couples at both individual and dyadic level; thus, interventions to improve marital satisfaction should include both men and women. In addition, future studies should consider using DDA when dyadic data are available.

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Section: Methodsmentioning

confidence: 99%

Application of the dyadic data analysis in behavioral medicine research: marital satisfaction and anxiety in infertile couples

Maroufizadeh

Hosseini

Foroushani

et al. 2018

BMC Med Res Methodol

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“…These negative scripts increased the likelihood of hostile attribution biases and other‐directed blame. In addition, it increased angry affect towards a romantic partner, which in turn increased the likelihood of escalating conflicts with romantic partners and other family members (for a review, see Salazar, ).…”

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confidence: 99%

Posttraumatic Stress Disorder Symptoms, Intimate Partner Violence, and Relationship Functioning: A Meta‐Analytic Review

Birkley

Eckhardt

Dykstra

2016

Journal of Traumatic Stress

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This meta-analysis was the first study of which we are aware to investigate the association between Diagnostic and Statistical Manual of Mental Disorders (4th ed., text rev.; DSM-IV-TR; American Psychiatric Association, 2000) PTSD symptom clusters and parent, child, family, and marital/partner functioning problems (e.g., intimate partner violence [IPV] and intimacy). Of the 23 studies that met inclusion criteria, the sample was predominantly male (83.8%), Caucasian (65.0%), and from the military (98.9%). The average age was 43.65 years old (SD = 6.27); the average sample size was 397.4 (SD = 416.9; total N = 9,935). PTSD symptom clusters were assessed primarily by self-report (87.0%), with 8.7% using a rating by a clinician. We used fixed analysis following Fisher's r to z transformation and an unbiased weighing and summing of effect sizes within samples and across studies. We found a small association between hyperarousal and IPV (z = .20). We also found two moderate associations for the emotional numbing and avoidance symptom clusters: (a) with parent, child, and family functioning (z = .32, z = .28, respectively); and (b) with intimacy problems (z = .35, z = .42, respectively). We found two large associations for emotional numbing: marital and parent problems (z = .47) and parent, child, and family functioning problems (z = .32, respectively). Our findings suggested that treatments aim to lessen the effect on those who have close relationships with the individual with PTSD.

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“…Specifically, constructive strategies, even when paired with insecure attachment, were associated with higher marital quality. Conversely, destructive strategies may escalate to marital violence (Bonache, Gonzalez-Mendez, & Krahé, 2019;Salazar, 2015) and are associated with higher rates of divorce (Birditt, Brown, Orbuch, & McIlvane, 2010;Lantagne, Furman, & Novak, 2017).…”

Section: Como Os Casais Entram Em Desacordo? Uma Análise Dos Perfis Dmentioning

confidence: 99%

“…Further studies are needed to clarify these results. Understanding the variables related to the Hostile profile is fundamental, once high levels of destructive strategies, especially when not balance with positive behaviors, may escalate to marital violence (Bonache et al, 2019;Salazar, 2015).…”

Section: Conflict Resolution Profiles and Sociodemographic Datamentioning

confidence: 99%

How Do Couples Disagree? An Analysis of Conflict Resolution Profiles and the Quality of Romantic Relationships

Delatorre

Wagner

2019

Rev. colomb. psicol.

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This study aimed to identify conflict resolution profiles and assess relationship quality levels associated with each profile. The participants were 750 heterosexual couples living in southern Brazil. They filled out measures about conflict resolution strategies, relationship quality, and sociodemographic data. A latent profile analysis was conducted in order to classify participants regarding conflict resolution. Variance and association analyses were also conducted in order to examine relationships between the resolution profiles and other study variables. Four profiles were identified: Low Conflict/Withdraw, Validator, Hostile, and Volatile. The Validator profile showed higher relationship quality, followed by Low Conflict/Withdraw and Volatile profiles, which did not differ from each other, and the Hostile, which showed low levels of relationship quality. We conclude that even though validation and negotiation are desirable, emotionally intense strategies may also be beneficial for couples in some contexts.

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The negative reciprocity process in marital relationships: A literature review

Cited by 28 publications

References 30 publications

Application of the dyadic data analysis in behavioral medicine research: marital satisfaction and anxiety in infertile couples

Application of the dyadic data analysis in behavioral medicine research: marital satisfaction and anxiety in infertile couples

Posttraumatic Stress Disorder Symptoms, Intimate Partner Violence, and Relationship Functioning: A Meta‐Analytic Review

How Do Couples Disagree? An Analysis of Conflict Resolution Profiles and the Quality of Romantic Relationships

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