In this study, we examine friendship centrality and reciprocity between kindergarteners who exhibit externalizing classroom behaviors and their classroom peers. Teachers nominated children who display externalizing classroom behaviors, and we collected network data via individual interviews of 411 children (mean age = 6.7 years; SD = 0.33) from 21…

Community-based courses, driven by connectivist learning theory, provide learners with a social environment that supports collaborative problem solving (CPS). The purpose of this study is to investigate the characteristics of potential collaborators before they engage in CPS. This study analyzed a community-based course, a cMOOC with a total of…

Physics graduate studies are substantial efforts on the part of individual students, departments, and institutions of higher education. Understanding the factors that lead to student success and attrition is crucial for improving these programs. One factor that has recently started to be investigated is the broadly defined students' experiences…

This study shows that residual variation can cause problems related to scaling in exponential random graph models (ERGM). Residual variation is likely to exist when there are unmeasured variables in a model--even those uncorrelated with other predictors--or when the logistic form of the model is inappropriate. As a consequence, coefficients cannot…

Objective: To use egocentric network analysis to understand how composition and structure of egonetworks relate to violence victimization among college students. Participants: 697 students from a large southeastern university completed online surveys. Methods: Hierarchical logistic regression analyses assessed the relationship between egocentric…

Social network analysis (SNA) consists of a broad set of frameworks and methods to assess how direct and indirect relationships influence individual functioning. Although interest in SNA has steadily increased in the psychological sciences, school psychology has not kept pace. This article provides a general overview of core SNA concepts,…

In contrast to traditional statistical approaches, which assume the existence of a latent common cause leading to the emergence and covariance of indicators, network modeling assumes that latent features emerge because of interactions between indicators. Clearly, such a way of treating the results of the Program for International Student…

The application of social network analysis (SNA) has recently grown prevalent in science, technology, engineering, and mathematics education research. Research on classroom networks has led to greater understandings of student persistence in physics majors, changes in their career-related beliefs (e.g., physics interest), and their academic…

This study used social network analysis to evaluate whether sex heterophily, the degree to which peers are different in sex, between 126 children with autism (ages 5-12 years) and their peers affected social network connectivity. Results indicate that: (1) the quantity and sex of friends were more important in predicting social network…

Whether birds of a feather flock together or opposites attract is a classical research question in social and personality psychology. In most existing studies, correlation-based techniques are commonly used to study the similarity/dissimilarity among social entities. Social network data comprises two primary components: actors and the possible…

Lifelong learning is regarded as an important channel in promoting active engagement in later life for aging societies. While most studies depict older learners as a group resilient to engaging in lifelong learning, few have addressed the impacts of their social networks on their participation. Drawing on the nationwide lifelong learning program…

Engaging in interactions with peers is important for student learning. Many studies have quantified patterns of student interactions in in-person physics courses using social network analysis, finding different network structures between instructional contexts (lecture and laboratory) and styles (active and traditional). Such studies also find…

Network analysis in educational research has primarily relied on self-reported relationships or connections inferred from online learning environments, such as discussion forums. However, a large part of students' social connections through day-to-day on-campus encounters has remained underexplored. The paper examines spatial-temporal student…

Due to more college students recovering from addictions, institutions are implementing collegiate recovery communities (CRCs). CRCs provide academic and social support needed for recovering students to succeed and stay sober. Social network analysis tested whether the social connections within a CRC were related to relapse prevention among…

Purpose: Operating in both traditional schools and alternative learning systems (ALS) requires organizations to have a strong understanding of what drives the cultural acceptance of violence and the capacity of the local populace to find peaceful solutions. This paper explores the results from a formative social network analysis (SNA) study on…