The Analysis of Duocentric Social Networks: A Primer

Marriages and other intimate partnerships are facilitated or constrained by the social networks within which they are embedded. To date, methods used to assess the social networks of couples have been limited to global ratings of social network characteristics or network data collected from each partner separately. In the current article, the authors offer new tools for expanding on the existing literature by describing methods of collecting and analyzing duocentric social networks, that is, the combined social networks of couples. They provide an overview of the key considerations for measuring duocentric networks, such as how and why to combine separate network interviews with partners into one shared duocentric network, the number of network members to assess, and the implications of different network operationalizations. They illustrate these considerations with analyses of social network data collected from 57 low‐income married couples, presenting visualizations and quantitative measures of network composition and structure.     

Understanding Condom Use Decision Making Among Homeless Youth Using Event-Level Data

This is one of the first qualitative event-based studies to understand the various mechanisms through which multiple factors influence condom use decision making among homeless youth. Event-level interviews that explore characteristics of the environment surrounding sexual events were conducted with 29 youth who were asked to describe two recent sexual encounters. In thematic analyses of data across events, reasons that youth gave for engaging in unprotected sex included the expectation of having sex and use of alternative methods of protection against pregnancy. Other nonevent factors that influenced condom use decision making were related to attributes of the partnership (e.g., testing, trust and love, and assessments of risk) and attributes of the youth (e.g., perceptions of diseases, concerns over pregnancy, and discomfort using condoms). Additional event analyses conducted within the same individuals found that decision making was influenced by multiple interacting factors, with different pathways operating for event and nonevent factors. Future interventions should consider taking a multilevel and individualized approach that focuses on event-based determinants of risky sex in this population.     

Attrition rate in infant fNIRS research: A meta-analysis

Understanding the trends and predictors of attrition rate, or the proportion of collected data that is excluded from the final analyses, is important for accurate research planning, assessing data integrity, and ensuring generalizability. In this pre-registered meta-analysis, we reviewed 182 publications in infant (0–24 months) functional near-infrared spectroscopy (fNIRS) research published from 1998 to April 9, 2020, and investigated the trends and predictors of attrition. The average attrition rate was 34.23% among 272 experiments across all 182 publications. Among a subset of 136 experiments that reported the specific reasons for subject exclusion, 21.50% of the attrition was infant-driven, while 14.21% was signal-driven. Subject characteristics (e.g., age) and study design (e.g., fNIRS cap configuration, block/trial design, and stimulus type) predicted the total and subject-driven attrition rates, suggesting that modifying the recruitment pool or the study design can meaningfully reduce the attrition rate in infant fNIRS research. Based on the findings, we established guidelines for reporting the attrition rate for scientific transparency and made recommendations to minimize the attrition rates. This research can facilitate developmental cognitive neuroscientists in their quest toward increasingly rigorous and representative research.