ABSTRACT
This article demonstrates how digital information and communication technologies (ICTs) (Zoom/WhatsApp) unexpectedly and counterintuitively proved to be valuable tools for community-engaged health research when, in the context of the COVID-19 pandemic, they were integrated into a research study testing a peer support group intervention with female immigrants from Mexico. Because of pandemic restrictions, we changed the study protocol to hold meetings remotely via Zoom rather than in person as originally planned. Because we recognized that this would lack some opportunities for participants to interact and develop relationships, we created a WhatsApp chat for each group. Despite challenges for participants to use ICTs and participant-stated preference for in-person meetings, the results demonstrated that participants overwhelmingly endorsed these technologies as promoting access, participation, engagement, and satisfaction. Zoom/WhatsApp created a valuable environment both as a method for conducting research with this population, but also as part of the intervention for immigrant women to support and learn from each other. ICT adaptations have now permanently changed the way we conduct community-engaged health research.
ABSTRACT
We present data from a nationally representative 2017 survey of American adults. For heterosexual couples in the United States, meeting online has become the most popular way couples meet, eclipsing meeting through friends for the first time around 2013. Moreover, among the couples who meet online, the proportion who have met through the mediation of third persons has declined over time. We find that Internet meeting is displacing the roles that family and friends once played in bringing couples together.
Subject(s)
Friends , Interpersonal Relations , Social Media , Adult , Female , Humans , Male , United StatesABSTRACT
Adolescent societies-whether arising from weak, short-term classroom friendships or from close, long-term friendships-exhibit various levels of network clustering, segregation, and hierarchy. Some are rank-ordered caste systems and others are flat, cliquish worlds. Explaining the source of such structural variation remains a challenge, however, because global network features are generally treated as the agglomeration of micro-level tie-formation mechanisms, namely balance, homophily, and dominance. How do the same micro-mechanisms generate significant variation in global network structures? To answer this question we propose and test a network ecological theory that specifies the ways features of organizational environments moderate the expression of tie-formation processes, thereby generating variability in global network structures across settings. We develop this argument using longitudinal friendship data on schools (Add Health study) and classrooms (Classroom Engagement study), and by extending exponential random graph models to the study of multiple societies over time.
