The moderating effect of differentiation: Education and health in married couples

This study had four hypotheses based on Bowen Family Systems Theory. First, to determine the similarity in couple members' levels of differentiation, a latent profile analysis was performed. About 67% of couples reported less than a point difference on average between their scores on the differentiation subscales used. Second, whether differentiation was associated with physical health was determined by comparing the means of health indicators for couple members across the latent profile classes, and it was found that health and differentiation were related as expected. Finally, to determine whether differentiation moderated the associations between education, stress, and health, a group comparison procedure was performed for an Actor–Partner Interdependence Model. Evidence suggested that differentiation moderated some of these associations.     

Recherche en santé et protection des données personnelles à l’heure du Règlement général relatif à la protection des données

France has a very rich legal framework, which defines the conditions of access and use of health data for scientific research purposes and ensures their protection. Currently, this legal framework is undergoing revision. The European regulation of April 27th 2016 on protection of natural persons in relation to the processing of personal data came into effect in EU member states since 25th May 2018 and substitute a rationale of administrative process for a rationale that empowers the researchers to document and prove compliance with the regulation (“accountability”). This regulation must be coordinated with the other regulation applicable to research in UE and with national law.     

Trace of pace,place, and space in personal relationships: The chronogeometrics of studying relationships at scale

The study of personal relationships has traditionally relied on self‐reports or observations of face‐to‐face interaction. Digital media increasingly provide the ability to trace communication and relationships at scale. Such methods portend significant theoretical and methodological challenges, as well as potential. As a way of illustrating such potential, big data approaches to the select traditional relational concepts of routine relating, propinquity, homophily, small world, and reciprocity are reviewed. The fields of communication and personal relationships will need to inform such research by developing their own interdisciplinary relationships with geographic information sciences, computational linguistics, and computer sciences or cede a significant frontier of their field to these other disciplines.     

Religious Identity,Expression, and Civility in Social Media: Results of Data Mining Latter‐Day Saint Twitter Accounts

This study explores religious self‐identification, religious expression, and civility among projected Latter‐Day Saint Twitter accounts (201,107 accounts and 1,542,229 tweets). Novel methods of data collection and analysis were utilized to test hypotheses related to religious identity and civility against social media data at a large scale. Results indicated that (1) projected LDS Twitter accounts tended to represent authentic (rather than anonymous or pseudonymous) identities; (2) local minority versus majority status did not influence users’ willingness to religiously self‐identify; (3) isolation stigma did not occur when users religiously self‐identified; (4) participants exhibited much lower degrees of incivility than was anticipated from previous studies; and (5) religious self‐identification was connected to improved civility. Results should be of interest to scholars of religion for better understanding participation patterns and religious identity among Latter‐Day Saints and for exploring how these results may transfer to other groups of religious people.     

Using the dual‐criteria methods to supplement visual inspection: An analysis of nonsimulated data

The purpose of our study was to examine the probability of observing false positives in nonsimulated data using the dual‐criteria methods. We extracted data from published studies to produce a series of 16,927 datasets and then assessed the proportion of false positives for various phase lengths. Our results indicate that collecting at least three data points in the first phase (Phase A) and at least five data points in the second phase (Phase B) is generally sufficient to produce acceptable levels of false positives.     

Does social support predict smoking abstinence in dual-smoker couples? Evidence from a dyadic approach

Background and Objectives: Romantic partners have a significant influence on their health behaviors. Evidence for the effectiveness of social support for smoking abstinence, however, is mixed and the role of social support for smoking abstinence in dual-smoker couples is understudied.

Design: 77 dual-smoker couples were assessed 30 days after a joint quit attempt using a dyadic approach.

Methods: Received and provided support, self-reported and objectively measured smoking abstinence were assessed from both partners. Actor and partner effects of received and provided support on self-reported and objectively measured smoking abstinence and their difference for men and women were investigated with the Actor–Partner Interdependence Model using multilevel modeling.

Results: A significant actor effect emerged: Higher reports of received emotional support were related to an increased likelihood of objective smoking abstinence for men and women alike. For men only, partner effects of women’s received emotional and instrumental support emerged (p?<?.10): Higher reports of women’s support receipt were associated with an increased likelihood of men’s self-reported abstinence.

Conclusion: Received emotional support seems to play a key role in dual-smoker couple’s abstinence, whereas provided support does not seem to make a difference in successful quitting in dual-smoker couples.