Reflections on the actor–partner interdependence model

Kenny, David A.

doi:10.1111/pere.12240

Cited by 68 publications

(46 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…While it was entirely appropriate to conduct the development work of the EARDA on individuals, it is important to note that individuals do not separate in a vacuum, and there are two parties involved in a relationship breakdown. While we have identified the effects of an individual’s own emotional adaptation to relationship dissolution on their co-parenting, there may well be partner effects here too [ 102 ]. It might be that one parent having high emotional adaptation is simply not enough to lead to improvements in behavioural co-parenting outcomes.…”

Section: Discussionmentioning

confidence: 99%

“…Both parties could end up perceiving that the actions of the other as a personalised and vindictive blow, rather than a reflection of that individual’s emotional adaptation. Both of these scenarios could be comprehensively assessed by taking a dyadic approach to the design of the research, and using dyadic data analysis techniques, such as the Actor-Partner Interdependence Model [ 102 ].…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Emotional adaptation to relationship dissolution in parents and non-parents: A new conceptual model and measure

et al. 2020

View full text Add to dashboard Cite

Relationship dissolution can cause declines in emotional well-being, particularly if there are children involved. Individuals’ capacity to cope with the pragmatics of the situation, such as agreeing childcare arrangements, can be impaired. Before now, there has been no psychometric test to evaluate individuals’ emotional readiness to cope with these demands. This paper presents a model of emotional adaptation in the context of relationship dissolution and its key assumptions, and validates the Emotional Adaptation to Relationship Dissolution Assessment (EARDA). In Study 1 (Sample 1, n = 573 separated parents, Sample 2, n = 199 mix of parents and non-parents), factor analyses support the EARDA as a unidimensional scale with good reliability. In Study 2 (using Sample 1, and Sample 3, n = 156 separated parents) the convergent, discriminant, concurrent criterion-related, and incremental validity of the EARDA were supported by tests of association with stress, distress, attachment style, and co-parenting communication and conflict. In Study 3, the nomological network of emotional adaptation to relationship dissolution was explored in Sample 2 using cluster analysis and multi-dimensional scaling (MDS). Emotional adaptation clustered with positive traits and an outward focus, and was negatively associated with negative traits and an inward focus. Emotional adaptation was conceptually located in close proximity to active and adaptive coping, and furthest away from maladaptive coping. In Study 4 ( n = 30 separated parents embarking on mediation), high, medium, and low emotional adaptation to relationship dissolution categories correlated highly with mediators’ professional judgement, offering triangulated face validity. Finally, in Study 5, EARDA scores were found to mediate between separation characteristics (time since break up, whether it was a shock, and who initiated the break up) and co-parenting conflict in Sample 1, supporting the proposed model. The theoretical innovation of this work is the introduction of a new construct that bridges the gap between relationship dissolution and co-parenting. Practical implications include the use of the measure proposed to triage levels of support in a family law setting.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Emotional adaptation to relationship dissolution in parents and non-parents: A new conceptual model and measure

et al. 2020

View full text Add to dashboard Cite

show abstract

“…MCMCglmm includes an observation-level random intercept as default and DyadID is therefore implicitly included as a random intercept. This glmm structure follows some aspects of implementations of the Actor-Partner Interdependence Model (Kenny, 1996(Kenny, , 2018 and the multiple membership approach is inspired by Rushmore et al (2013).…”

Section: Simulation 2: Sex Assortment and Location Preferencesmentioning

confidence: 99%

“…Dyadic regressions-where the analysis is at the level of connections between pairs of individuals-are used less in animal social network analysis than in other fields. In particular, other fields have developed methods for dyadic analysis, termed Actor-Partner Interdependence Models, which tackle the problem of interdependence without the use of or need for permutations (Chow, Claxton, & van Dulmen, 2015;Garcia, Kenny, & Ledermann, 2015;Kenny, 1996Kenny, , 2018. In these models, controls can be included in the statistical model that examines predictors of the strength of connection between the two individuals or predictors of node-level network measures.…”

mentioning

confidence: 99%

Calculating effect sizes in animal social network analysis

et al. 2020

View full text Add to dashboard Cite

has arisen mainly due to researchers' past tendency to over focus on statistical significance, rather than a balanced consideration of it along with biological importance of model effects. Consequently, there is growing movement towards the use of approaches that place greater emphasis on biological importance through effect sizes, such as model comparisons and Bayesian inference (Burnham, Anderson,

show abstract

“…Moreover, we also tested whether project-related dyadic coping strategies are associated with relationship satisfaction. We used the actor-partner interdependence model procedure (APIM; Kenny 1996), a widely applied approach to analyzing dyadic data (c.f., Kenny 2018). The positive and negative dyadic coping experiences of the partners were used as predictors in the model, while satisfaction with dyadic coping as well as the relationship satisfaction of the partners were treated as outcomes in two separate models.…”

Section: Analytical Processmentioning

confidence: 99%

Dyadic coping in personal projects of romantic partners: assessment and associations with relationship satisfaction

et al. 2019

View full text Add to dashboard Cite

In the present study we describe a context-sensitive, personal-projects-based approach to dyadic coping with stress which adapted the Dyadic Coping Inventory (DCI) for the assessment of dyadic coping strategies in stressful personal projects. In a crosssectional study, 149 heterosexual Hungarian couples provided evaluations pertaining to their dyadic coping experiences in a stressful everyday project. Explorative factor analyses of personal project-related DCI items provided theoretically meaningful factor structures and the resulting subscales showed excellent reliability. The subscales' predictive validity was tested in two dyadic analyses using the Actor-Partner Interdependence Model (APIM) whereby positive and negative dyadic coping experiences served as predictors of satisfaction with the dyadic coping process in particular, and with the relationship in general as outcomes. Our results showed that satisfaction with dyadic coping in personal projects is predicted only by the dyadic coping experiences of the respondents (the actor effect), while actor and partner effects proved to be predictive of relationship satisfaction. Negative partner experiences related to dyadic coping predicted lower relationship satisfaction of the female partner, while for males the positive experiences of the partner were found to be more predictive. These results confirm that the contextualized assessment of dyadic coping experiences in specific stressful personal projects is a reliable and valid method. Further methodological and theoretical conclusions are discussed.

show abstract

Reflections on the actor–partner interdependence model

Cited by 68 publications

References 40 publications

Emotional adaptation to relationship dissolution in parents and non-parents: A new conceptual model and measure

Emotional adaptation to relationship dissolution in parents and non-parents: A new conceptual model and measure

Calculating effect sizes in animal social network analysis

Dyadic coping in personal projects of romantic partners: assessment and associations with relationship satisfaction

Contact Info

Product

Resources

About