Win-Win: Reconciling Social Epidemiology and Causal Inference.

Social epidemiology is concerned with the health effects of forces that are "above the skin." Although causal inference should be a key goal for social epidemiology, social epidemiology and quantitative causal inference have been seemingly at odds over the years. This does not have to be the case and, in fact, both fields stand to gain through a closer engagement of social epidemiology with formal causal inference approaches. We discuss the misconceptions that have led to an uneasy relationship between these 2 fields, propose a way forward that illustrates how the 2 areas can come together to inform causal questions, and discuss the implications of this approach. We argue that quantitative causal inference in social epidemiology is an opportunity to do better science that matters, a win-win for both fields.

A Latent Variable Approach to Measuring Social Dynamics in Adolescence.

In the study of adolescent health, it is useful to derive indices of social dynamics from sociometric data, and to use these indices as predictors of health risk behaviors. In this manuscript, we introduce a flexible latent variable model as a novel way of obtaining estimates of social integration and social status from school-based sociometric data. Such scores provide the flexibility of a regression-based approach while accounting for measurement error in sociometric indicators. We demonstrate the utility of these factor scores in testing complex hypotheses through a combination of structural equation modeling and survival models, showing that deviance mediates the relationship between social status and smoking onset hazard at the transition to high school.

Feasibility and acceptability of a novel tool for the study of interpersonal processes in psychotherapy.

Psychotherapy process research methods often require extensive time and resources. Technology innovations, such as wearable sensors, have the potential to increase the efficiency of process data collection and processing. One such tool is the Sociometric Badge (SB), which is a portable, palm-sized device that can simultaneously record raw audio and data on social signals (e.g., speech patterns, body movement) in real-time and in varied contexts. In addition to describing the nature and implications of wearable sensing devices for psychotherapy research, this article reports results from a pilot study that examined the feasibility and acceptance of these assessment devices in comparison with traditional audio recording equipment. Undergraduate students (N = 306; Mage = 19.16 years, SD = 1.44; 50.3% female) were randomly placed into 153 dyads to mimic a psychotherapy dyad. Each dyad was randomly assigned to either a SB condition (n = 75 dyads) or a standard recording device condition (n = 78 dyads), and engaged in a conversation task. Participants completed self-report items assessing perceived relationship quality and experience with the respective recording device. Between-condition tests showed that perceived relationship quality did not differ between conditions. Participants in the audio recorder (vs. SB) condition reported more awareness of the device in the room. These findings reveal comparable acceptability and feasibility of SBs to traditional audio recorders in a simulated dyad, suggesting that wearable sensing devices may be suitable for research and practice in routine psychotherapy contexts. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Connecting Online and Offline Social Skills to Adolescents' Peer Victimization and Psychological Adjustment.

Peer victimization is a common experience among high school students and is associated with many negative adjustment outcomes, making it necessary to investigate the individual and contextual factors that may ameliorate the consequences of peer victimization. The current study explores whether social competence offline and online mediates the relationship between peer victimization and psychological adjustment for adolescents. High school students (n = 303, Mage = 15.83, 65.2% female) reported about their peer victimization experiences, social skills, perceptions of peers' acceptance offline and social media acceptance, and self-worth. By considering both online and offline contexts, the underlying assumption that there are important differences between the two contexts and that these differences have a unique impact on teens who experience peer victimization was tested. The results indicate that teens who experience peer-victimization have deficits in both their offline and online social competence. Path analysis revealed that offline social skills mediate the relationship between peer victimization and self-worth. Also, there was a modest correlation between the indicators of offline social skills and online social skills indicating that they are not identical and have different associations with self-worth. Since teens are interacting with social media as another context of their everyday life, the implications for interventions aimed at targets of peer-victimization are meaningful.

It's Lonely at the Top: Adolescent Students' Peer-perceived Popularity and Self-perceived Social Contentment.

Popularity is highly desired among youth, often more so than academic achievement or friendship. Recent evidence suggests being known as "popular" among peers (perceived popularity) may be more detrimental during adolescence than being widely well-liked (sociometric popularity). Thus, this study sought to better understand how two dimensions of popularity (perceived and sociometric) may contribute to adolescents' own perceptions of satisfaction and happiness regarding their social life at school, and hypothesized that "being popular" would have a more complex (and curvilinear) association with adolescents' social contentment than previously considered by linear models. Adolescents' peer popularity and self-perceived social contentment were examined as both linear and curvilinear associations along each status continuum in a series of hierarchical regressions. Participants were 767 7th-grade students from two middle schools in the Midwest (52% female, 46% White, 45% African American). Perceived and sociometric popularity were assessed via peer nominations ("most popular" and "liked the most", respectively). Self-reported social satisfaction, best friendship quality, social self-concept, and school belonging were assessed as aspects of social contentment. The results indicated that both high and low levels of perceived popularity, as well as high and low levels of sociometric popularity, predicted lower perceptions of social satisfaction, poorer best friendship quality, and lower social self-concept than youth with moderate levels of either status. Implications to promote adolescents' psychosocial well-being by targeting popularity's disproportionate desirability among youth are discussed.

PiSCES: Pictures with social context and emotional scenes with norms for emotional valence, intensity, and social engagement.

Picture databases are commonly used in experimental work on various aspects of emotion processing. However, existing standardized facial databases, typically used to explore emotion recognition, can be augmented with more contextual information for studying emotion and social perception. Moreover, the perception of social engagement, i.e., the degree of interaction or engagement inferred between the people in target pictures, has not been measured. In this paper, we describe the development of a database comprising 203 black-and-white line drawings depicting people within various situational contexts, and normed on perceived emotional valence, intensity, and social engagement, a new construct. Analyses of ratings collected from 62 young adults (30 females, 32 males; mean age 22 years) revealed the typical quadratic relationship between valence and intensity, i.e., stimuli that are more emotionally charged, whether positively or negatively valenced, are more intense than emotionally-neutral stimuli. Moreover, the results showed significant linear and quadratic relationships between valence and social engagement ratings, indicating that emotionally-charged social scenes were perceived as more engaging than emotionally-neutral social scenes. This new database will facilitate investigations of how people perceive and interpret social and emotional information in everyday interactions, and is offered as a resource to experimenters involved in social and/or emotional processing research.

Overt and Relational Aggression Participant Role Behavior: Measurement and Relations With Sociometric Status and Depression.

This study is the first to measure participant role behavior across overt and relational forms of aggression. The Overt and Relational Aggression Participant Role Behavior Scales were designed to measure aggression, assisting, reinforcing, defending, victimization, and outsider behavior during acts of peer aggression in an ethnically diverse sample of 609 adolescents (M age = 12 years). The data fit the hypothesized 12-factor model, and measurement invariance was established across gender. Relational victimization, but not overt victimization, was positively associated with all other relational aggression roles. Each participant role subscale was positively associated with depressive symptoms with the exception of the overt and relational outsider subscales. Future research and intervention efforts should consider overt and relational aggression participant roles, separately.

Introduction to the Special Issue: 20th-Century Origins and 21st-Century Developments of Peer Nomination Methodology.

This issue of New Directions for Child and Adolescent Development looks at current practices and recent advances in peer nomination methodology. Peer nominations provide a key method for assessing relationships, social status, and interpersonal behavior. This introductory article begins with a history of peer nomination methods, with a focus on the early origins of peer informant measures and the nature of Moreno's (1934) sociometric methodology (highlighting fundamental differences from the modern sociometric procedure). Next, the article addresses major changes that have occurred in peer nomination research over the course of the past 2 decades, including the recent focus on popularity and relational aggression, statistical advances, logistical challenges and innovations, and the changing conventions of the nomination procedure itself. The final section includes a brief overview of the articles included in this issue.

The Current Status of Peer Assessment Techniques and Sociometric Methods.

Current issues in the use of peer assessment techniques and sociometric methods are discussed. Attention is paid to the contributions of the four articles in this volume. Together these contributions point to the continual level of change and progress in these techniques. They also show that the paradigm underlying these methods has been unchanged for decades. It is argued that this domain is ripe for a paradigm change that takes advantage of recent developments in statistical techniques and technology.

Methodological Choices in Peer Nomination Research.

Although peer nomination measures have been used by researchers for nearly a century, common methodological practices and rules of thumb (e.g., which variables to measure; use of limited vs. unlimited nomination methods) have continued to develop in recent decades. At the same time, other key aspects of the basic nomination procedure (e.g., whether nonparticipants should be included as nominees, the consequences of pairing code numbers with names on rosters) are underdiscussed and understudied. Beyond providing a general introduction to peer nomination methods and their utility, the current article discusses the advantages and disadvantages of various methodological choices facing researchers who wish to use peer nomination methods, in addition to other considerations that researchers must make in collecting peer nomination data (e.g., establishing reliability and validity, maximizing participation rates, computerized assessments). This article provides recommendations for researchers based on empirical findings (where possible) and the typical practices used in the recent published literature.

Logistical Challenges and Opportunities for Conducting Peer Nomination Research in Schools.

Although conducting psychological research within schools has always required effort, persistence, and the careful navigation of various interests, there is a consensus among child and adolescent researchers that, over the past 2 decades, it has become increasingly difficult to collect data within schools. In this chapter, we lay out common and consistent difficulties, frustrations, and obstacles that researchers face when attempting to conduct peer nomination research in schools. Many of these difficulties are faced not only by researchers conducting peer nominations but by any investigator attempting to do school-based research, and we discuss these issues more broadly. We also focus on the specific challenges associated with sociometric methods. We present suggestions and solutions for overcoming these issues and consider ways that researchers can give back to schools and establish long-term partnerships that benefit the students, teachers, and administrators of participating schools, as well as the researchers themselves. Such partnerships have the potential to make data collection easier and to open doors to new research opportunities.

Computer-Based Methods for Collecting Peer Nomination Data: Utility, Practice, and Empirical Support.

New technologies have led to several major advances in psychological research over the past few decades. Peer nomination research is no exception. Thanks to these technological innovations, computerized data collection is becoming more common in peer nomination research. However, computer-based assessment is more than simply programming the questionnaire and asking respondents to fill it in on computers. In this chapter the advantages and challenges of computer-based assessments are discussed. In addition, a list of practical recommendations and considerations is provided to inform researchers on how computer-based methods can be applied to their own research. Although the focus is on the collection of peer nomination data in particular, many of the requirements, considerations, and implications are also relevant for those who consider the use of other sociometric assessment methods (e.g., paired comparisons, peer ratings, peer rankings) or computer-based assessments in general.

Use of the concept mapping in teaching during a medical rotation of interns: an exploratory study.

INTRODUCTION: Concept mapping is an excellent learning toolallowing to stimulate active learning.For this reason, the concept mapping is currently used increasingly in the medical and paramedical field. The aim of our study is to determine the contribution of teaching of medical interns by the concept mapping. METHODS: Fourteen students enrolled at the same time in a medical rotation in Pulmonology were recruited for this exploratory study. Interns are divided into two groups (A and B).Both groups are taught by the clinical case method, illustrated by a concept mapping for group A interns. RESULTS: The evolution of the knowledge accuracy at post-testing has been greater in the group taught by the method of concept mapping: the number of correct responses increased in all participants of group A versus only 4 of group B. All students taught by concept mapping had at the post-test a note higher than or equal to 10/20 versus only three of the group taught by the method without concept map. The average score was 13 (11-15) in group A versus 10.28 (6-14) in group B. CONCLUSION: We emphasize the use of concept mapping in teaching especially in the faculty of medicine and we encourage clinicians to use this method in teaching interns in the hospital.

When paradigms collide at the road rail interface: evaluation of a sociotechnical systems theory design toolkit for cognitive work analysis.

The Cognitive Work Analysis Design Toolkit (CWA-DT) is a recently developed approach that provides guidance and tools to assist in applying the outputs of CWA to design processes to incorporate the values and principles of sociotechnical systems theory. In this paper, the CWA-DT is evaluated based on an application to improve safety at rail level crossings. The evaluation considered the extent to which the CWA-DT met pre-defined methodological criteria and aligned with sociotechnical values and principles. Both process and outcome measures were taken based on the ratings of workshop participants and human factors experts. Overall, workshop participants were positive about the process and indicated that it met the methodological criteria and sociotechnical values. However, expert ratings suggested that the CWA-DT achieved only limited success in producing RLX designs that fully aligned with the sociotechnical approach. Discussion about the appropriateness of the sociotechnical approach in a public safety context is provided. Practitioner Summary: Human factors and ergonomics practitioners need evidence of the effectiveness of methods. A design toolkit for cognitive work analysis, incorporating values and principles from sociotechnical systems theory, was applied to create innovative designs for rail level crossings. Evaluation results based on the application are provided and discussed.

Improving the process of informed consent for percutaneous coronary intervention: patient outcomes from the Patient Risk Information Services Manager (ePRISM) study.

BACKGROUND: While the process of informed consent is designed to transfer knowledge of the risks and benefits of treatment and to engage patients in shared medical decision-making, this is poorly done in routine clinical care. We assessed the impact of a novel informed consent form for percutaneous coronary intervention (PCI) that is more simply written, includes images of the procedure, and embeds individualized estimates of outcomes on multiple domains of successful informed consent and shared decision-making. METHODS: We interviewed 590 PCI patients receiving traditional consent documents and 527 patients receiving novel ePRISM consents at 9 US centers and compared patients' perceptions, knowledge transfer, and engagement in medical decision-making. Heterogeneity across sites was assessed and adjusted for using hierarchical models. RESULTS: Site-adjusted analyses revealed more frequent review (72% for ePRISM vs 45% for original consents) and better understanding of the ePRISM consents (ORs=1.8-3.0, depending upon the outcome) with marked heterogeneity across sites (median relative difference [MRD] in the ORs of ePRISM's effect =2-3.2). Patients receiving ePRISM consents better understood the purposes and risks of the procedure (ORs=1.9-3.9, MRDs=1.1-6.2), engaged more in shared decision-making (proportional OR=2.1 [95% CI=1.02-4.4], MRD=2.2) and discussed stent options with their physicians (58% vs. 31%; site-adjusted odds ratio=2.7 [95% CI=1.2, 6.3], MRD=2.6) more often. CONCLUSIONS: A personalized consent document improved the process of informed consent and shared decision-making. Marked heterogeneity across hospitals highlights that consent documents are but one aspect of engaging patients in understanding and participating in treatment.

"Hidden" social networks in behavior change interventions.

We investigated whether "hidden" (or unobserved) social networks were evident in a 2011 physical activity behavior change intervention in Belfast, Northern Ireland. Results showed evidence of unobserved social networks in the intervention and illustrated how the network evolved over short periods and affected behavior. Behavior change interventions should account for the interaction among participants (i.e., social networks) and how such interactions affect intervention outcome.

Effects of primary care team social networks on quality of care and costs for patients with cardiovascular disease.

PURPOSE: Cardiovascular disease is the leading cause of mortality and morbidity in the United States. Primary care teams can be best suited to improve quality of care and lower costs for patients with cardiovascular disease. This study evaluates the associations between primary care team communication, interaction, and coordination (ie, social networks); quality of care; and costs for patients with cardiovascular disease. METHODS: Using a sociometric survey, 155 health professionals from 31 teams at 6 primary care clinics identified with whom they interact daily about patient care. Social network analysis calculated variables of density and centralization representing team interaction structures. Three-level hierarchical modeling evaluated the link between team network density, centralization, and number of patients with a diagnosis of cardiovascular disease for controlled blood pressure and cholesterol, counts of urgent care visits, emergency department visits, hospital days, and medical care costs in the previous 12 months. RESULTS: Teams with dense interactions among all team members were associated with fewer hospital days (rate ratio [RR] = 0.62; 95% CI, 0.50-0.77) and lower medical care costs (-$556; 95% CI, -$781 to -$331) for patients with cardiovascular disease. Conversely, teams with interactions revolving around a few central individuals were associated with increased hospital days (RR = 1.45; 95% CI, 1.09-1.94) and greater costs ($506; 95% CI, $202-$810). Team-shared vision about goals and expectations mediated the relationship between social network structures and patient quality of care outcomes. CONCLUSIONS: Primary care teams that are more interconnected and less centralized and that have a shared team vision are better positioned to deliver high-quality cardiovascular disease care at a lower cost.

Using Social Network Analysis to Assess Mentorship and Collaboration in a Public Health Network.

INTRODUCTION: Addressing chronic disease burden requires the creation of collaborative networks to promote systemic changes and engage stakeholders. Although many such networks exist, they are rarely assessed with tools that account for their complexity. This study examined the structure of mentorship and collaboration relationships among members of the Healthy Aging Research Network (HAN) using social network analysis (SNA). METHODS: We invited 97 HAN members and partners to complete an online social network survey that included closed-ended questions about HAN-specific mentorship and collaboration during the previous 12 months. Collaboration was measured by examining the activity of the network on 6 types of products: published articles, in-progress manuscripts, grant applications, tools, research projects, and presentations. We computed network-level measures such as density, number of components, and centralization to assess the cohesiveness of the network. RESULTS: Sixty-three respondents completed the survey (response rate, 65%). Responses, which included information about collaboration with nonrespondents, suggested that 74% of HAN members were connected through mentorship ties and that all 97 members were connected through at least one form of collaboration. Mentorship and collaboration ties were present both within and across boundaries of HAN member organizations. CONCLUSION: SNA of public health collaborative networks provides understanding about the structure of relationships that are formed as a result of participation in network activities. This approach may offer members and funders a way to assess the impact of such networks that goes beyond simply measuring products and participation at the individual level.