Researchers commonly use repeated-measures actor-partner interdependence models (RM-APIM) to understand how romantic partners change in relation to one another over time. However, traditional interpretations of the results of these models do not fully or correctly capture the dyadic temporal patterns estimated in RM-APIM. Interpretation of results from these models largely focuses on the meaning of single-parameter estimates in isolation from all the others. However, considering individual coefficients separately impedes the understanding of how these associations combine to produce an interdependent pattern that emerges over time. Additionally, positive within-person, or actor, effects are commonly misinterpreted as indicating growth from one time point to the next when they actually represent decline. We suggest that change-as-outcome RM-APIMs and vector field diagrams (VFDs) can be used to improve the understanding and presentation of dyadic patterns of association described by standard RM-APIMs. The current article briefly reviews the conceptual foundations of RM-APIMs, demonstrates how change-as-outcome RM-APIMs and VFDs can aid interpretation of standard RM-APIMs, and provides a tutorial in making VFDs using multilevel modeling. (PsycINFO Database Record
The Communication Patterns Questionnaire (CPQ; Christensen, 1987) is a widely used self-report measure of couple communication behavior and is well-validated for assessing the demand/withdraw interaction pattern, which is a robust predictor of poor relationship and individual outcomes (Schrodt, Witt, & Shimkowski, 2013). However, no studies have examined the CPQ's factor structure using analytic techniques sufficient by modern standards, nor have any studies replicated the factor structure using additional samples. Further, the current scoring system uses fewer than half of the total items for its four subscales, despite the existence of unused items that have content conceptually consistent with those subscales. These characteristics of the CPQ have likely contributed to findings that subscale scores are often troubled by sub-optimal psychometric properties such as low internal reliability (e.g., Christensen, Eldridge, Catta-Preta, Lim, & Santagata, 2006). The present study uses exploratory and confirmatory factor analyses on four samples to re-examine the factor structure of the CPQ to improve scale score reliability and to determine if including more items in the subscales is warranted. Results indicate that a three-factor solution (constructive communication and two demand/withdraw scales) provides the best fit for the data. That factor structure was confirmed in the replication samples. Compared with the original scales, the revised scales include additional items that expand the conceptual range of the constructs, substantially improve reliability of scale scores, and demonstrate stronger associations with relationship satisfaction and sensitivity to change in therapy. Implications for research and treatment are discussed.
The demand/withdraw (D/W) interaction pattern is a maladaptive cycle of behavior that is associated with a wide range of deleterious individual and relational outcomes. Partners' emotional responding during couple conflict has long been theorized to play a central role in the occurrence of D/W. The interpersonal process model of D/W behavior suggests that each partner's emotional responses are associated with their own as well as the other partner's behavior in the D/W cycle and that the nature of these associations varies across partners. A prior test of the interpersonal process model provided support for sex-and role-specific associations between vocal emotional expression and demanding and withdrawing behaviors. The current study expands the conceptual frame of the interpersonal process model by incorporating subjective emotional experience. Hypothesized associations between subjective emotional experience, emotional expression, and role-specific demanding and withdrawing behaviors were tested in a sample of 59 couples using an actor-partner interdependence model. Results reveal that spouses experience and express nonsignificantly different levels of negative affect but strongly differ in how the experience and expression of those emotions are related to demanding and withdrawing behaviors. High levels of women's demanding behavior were associated with the combination of experiencing and expressing high levels of negative affect, while high levels of men's withdrawing behavior were associated with experiencing high levels of negative affect but expressing low levels of negative affect. Implications of results for understanding emotional processes in maladaptive cycles and for clinical practice are discussed.
Couple HOPES (Helping Overcome PTSD and Enhance Satisfaction) is a guided, online couple intervention adapted from Cognitive-Behavioral Conjoint Therapy for posttraumatic stress disorder (PTSD). It was created to overcome a range of barriers to accessing evidence-based treatments for PTSD and the intimate relationship problems associated with it. This manuscript describes initial outcomes of the intervention in a series of 10 couples. Participants were military, veteran and first responders with probable PTSD and their intimate partners. Couples completed the program and measurements of PTSD, relationship satisfaction, and secondary outcomes at pre-, mid-, and post-intervention. Mean satisfaction for the program was high and it was completed by seven of ten couples. Participants with PTSD evidenced significant and large pre- to post-intervention effect size improvements in PTSD symptoms ( g = 0.80) and perceived health ( g = 1.13). They also exhibited non-significant but medium effect size pre- to post-intervention improvements in quality of life ( g = 0.62), and depression ( g = 0.53), and small effect size pre- to post-intervention improvements in argumentativeness ( g = 0.43), anger ( g = 0.31), and anxiety ( g = 0.31). Partners reported significant and moderate pre- to post-intervention effect size improvements in relationship satisfaction (g = 0.68 ), and medium but not significant effect size improvements in accommodation of PTSD ( g = 0.56). Results provide initial support for the feasibility, acceptability, and efficacy of Couple HOPES for improving PTSD and relationship satisfaction. However, more testing in larger samples, including with randomized controlled designs, is needed.
Increasing evidence indicates that psychological factors important to therapy effectiveness are associated with physiological activity. Knowledge of the physiological correlates of therapy process variables has the potential to provide unique insights into how and why therapy works, but little is currently known about the physiological underpinnings of specific therapy processes that facilitate client growth and change. The goal of this article is to introduce therapy process researchers to the use of physiological methods for studying therapy process variables. We do this by (a) presenting a conceptual framework for the study of therapy process variables, (b) providing an introductory overview of physiological systems with particular promise for the study of therapy process variables, (c) introducing the primary methods and methodological decisions involved in physiological research, and (d) demonstrating these principles and methods in a case of therapeutic presence during couple therapy. We close with a discussion of the promise and challenges in the study of physiological correlates of therapy process variables and consideration of future challenges and open questions in this line of research. Online supplemental materials include additional resources for therapy process researchers interested in getting started with physiological research. Public Significance StatementUnderstanding clients' physiological activity during psychotherapy has the potential to provide unique insights into how and why therapy works. Incorporating these methods into therapy process research requires both conceptual and methodological expertise. This article provides therapy process researchers with a conceptual foundation for thinking about how to incorporate physiology into their research and a methodological foundation for beginning to develop their own expertise or initiate a productive collaboration with a physiological expert.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.