Examining individual differences in how interaction behaviors change over time: A dyadic multinomial logistic growth modeling approach.

Several theoretical perspectives suggest that dyadic experiences are distinguished by patterns of behavioral change that emerge during interactions. Methods for examining change in behavior over time are well elaborated for the study of change along continuous dimensions. Extensions for charting increases and decreases in individuals' use of specific, categorically defined behaviors, however, are rarely invoked. Greater accessibility of Bayesian frameworks that facilitate formulation and estimation of the requisite models is opening new possibilities. This article provides a primer on how multinomial logistic growth models can be used to examine between-dyad differences in within-dyad behavioral change over the course of an interaction. We describe and illustrate how these models are implemented in the Bayesian framework using data from support conversations between strangers (N = 118 dyads) to examine (RQ1) how six types of listeners' and disclosers' behaviors change as support conversations unfold and (RQ2) how the disclosers' preconversation distress moderates the change in conversation behaviors. The primer concludes with a series of notes on (a) implications of modeling choices, (b) flexibility in modeling nonlinear change, (c) necessity for theory that specifies how and why change trajectories differ, and (d) how multinomial logistic growth models can help refine current theory about dyadic interaction. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Coping with COVID-19 at the community level: Testing the predictors and outcomes of communal coping.

The COVID-19 pandemic is a socially shared health issue that has had profound impacts on all aspects of community life and requires collaborative coping responses. Drawn from the extended theoretical model of communal coping, we examined (a) factors that promote community members' communal coping and (b) the influence of communal coping on perceived stress and positive adaptation in the context of COVID-19. An empirical test based on the survey of participants (N = 257) living in the state of New York showed that strong community identity, but not the length of residency in the same community and integrated connectedness to communication resources of the community, was positively associated with communal coping orientation. Having a higher communal coping orientation was not related to perceived stress, but it was positively related to engagement in COVID-19 preventive behaviors. The implications of these findings for understanding communal coping at the community level and future directions are discussed.

Relational turbulence and social network engagement during the summer of COVID-19: A repeated measures, dyadic analysis.

Background/Purpose: Relational turbulence theory suggests that changes in and around relationships create the potential for relational turbulence when everyday routines and scripts are upended and communication becomes polarized. In turn, perceptions of a romantic relationship as chaotic or tumultuous can influence a person's engagement with their social network. Alternately, previous research also suggests that engagement with friends and family has the potential to influence married partner's relationship quality. Research Design: This study examined these propositions among a sample of married couples (N = 64, 128 individuals) whose daily experiences and relationship dynamics changed during the COVID-19 lockdown period. Results/Conclusions: Based on a 10-week, weekly diary repeated measures design, results suggest that relational turbulence and the valence of social network engagement may be mutually influential, such that (a) relational turbulence may influence the way in which married partners interpret communication with social network members and (b) the valence of communication with social network members may influence experiences of relational turbulence.

Factors associated with participation in a prevention trial aimed at reducing biomarkers of breast cancer risk.

OBJECTIVES: Poor enrollment into prevention trials is a major obstacle to the conduct of clinical investigations. This study focuses on cognitive and affective influences on the decision to participate in a clinical trial aimed at reducing biomarkers of breast cancer risk. METHODS: Following a decision to participate or not in a clinical trial focused on reduction of breast cancer risk, women were recruited into the present study. Data were gathered via telephone survey. RESULTS: One hundred healthy women took part in the current study, 72 of whom had participated in the clinical trial, and 28 of whom had declined participation. Women who decided to enroll perceived more benefits and fewer costs, and they experienced more positive emotions and fewer negative emotions. They also made the decision more quickly, more easily, were more satisfied with it, and had fewer regrets than women who declined participation in the clinical trial. CONCLUSIONS: Participants to this clinical trial differed from nonparticipants in terms of antecedents, process, and outcomes of the decision to enroll. PRACTICE IMPLICATIONS: Although obstacles exist, accrual might be improved by greater emphasis on the practical and psychosocial benefits to participants.