scholarly journals Not Next to You: Peer Rejection, Student Characteristics and the Moderating Effects of Classroom Composition

2021 ◽  
Author(s):  
Simon Hjalmarsson ◽  
Peter Fallesen ◽  
Stephanie Plenty
Keyword(s):  
Low Socioeconomic Status ◽  
Parental Education ◽  
Peer Rejection ◽  
Sociodemographic Characteristics ◽  
Exponential Random Graph Models ◽  
Random Effects Models ◽  
Immigrant Background ◽  
Classroom Composition ◽  
Exponential Random Graph ◽  
Multiple Characteristics

Although sociodemographic characteristics such as immigrant background and low socioeconomic status have been found to increase the risk for peer rejection, it remains unclear whether rejection in school settings primarily occurs between different-characteristic peers or is also driven by same-characteristic peers, nor whether these types of processes are moderated by classroom composition. Building on person-group dissimilarity theories, we address this gap in the literature using a large sample of 4,215 Swedish students (aged 14-15) in 201 eighth grade classes. Sociometric data provide information on received rejection nominations and rejection networks in school classes. Five characteristics are examined at the student- and classroom-levels: gender, immigration background, household income, parental education, and cognitive ability. Information on sociodemographic characteristics is drawn from linked survey and administrative population registers. A two-pronged empirical strategy is used, using both multilevel random effects models and Exponential Random Graph Models. We find that multiple characteristics are associated with peer rejection, and classroom composition moderates how these characteristics are associated with the extent to which students are rejected and reject classmates who are different to themselves.

scholarly journals Doctors as disseminators? Practicing physicians as multipliers for community-based prevention networks in a large city in western Germany

2021 ◽  
Author(s):  
Katharina Kreffter ◽  
Simon Götz ◽  
Stefanie Lisak-Wahl ◽  
Thuy Ha Nguyen ◽  
Nico Dragano ◽  
...  
Keyword(s):  
Parental Education ◽  
Information Sources ◽  
Information Source ◽  
Entrance Examination ◽  
Parenting Skills ◽  
Language Therapy ◽  
Community Based ◽  
Social Differences ◽  
Immigrant Background ◽  
Practicing Physicians

Abstract Aim Practicing physicians have a special position as disseminators of community-based prevention for children. However, it is unclear to what extent physicians inform parents about programs. The study investigated: To what extent do physicians disseminate information about community-based prevention for children aged 0–7? Do differences exist along family’s socioeconomic position (SEP) and immigrant background? Subject and methods We conducted a retrospective cohort study in a German school entrance examination. Parents were invited to participate in a survey on community-based prevention with information about their awareness and information source. SEP was measured by parental education, immigrant background by country of birth. For nine services types, we counted how often parents named physicians and other professional groups as information sources. To estimate social differences, we calculated adjusted odds ratios (OR) with 95% confidence interval (CI). Results Survey participants included 6480 parents (response 65.49%). Compared to other information sources, physicians were mentioned less frequently. For example, regarding language therapy, 31.2% of parents were informed by healthcare/social services, and 4.4% by physicians. Lower educated parents were less frequently informed by physicians about counseling services (OR 0.58; 95% CI 0.46–0.73) compared to higher educated parents. Parents with immigrant background were informed less often about parenting skills courses (OR 0.79; 95% CI 0.70–0.90) compared to parents without immigrant background, but more often about language therapy (OR 1.47; 95% CI 1.13–1.91). No further social differences were observed. Conclusion The role of physicians as disseminators for community-based prevention is expandable. They should promote parenting skills courses in a socially sensitive way.

Political Interaction Beyond Party Lines: Communication Ties and Party Polarization in Parliamentary Twitter Networks

2021 ◽  
pp. 089443932098756
Author(s):  
Marc Esteve Del Valle ◽  
Marcel Broersma ◽  
Arnout Ponsioen
Keyword(s):  
Social Media ◽  
Political Parties ◽  
Geographical Area ◽  
Political Polarization ◽  
Exponential Random Graph Models ◽  
Party Polarization ◽  
Exponential Random Graph ◽  
Political Networks ◽  
Use Of Social Media ◽  
High Degree

A growing body of research has examined the uptake of social media by politicians, the formation of communication ties in online political networks, and the interplay between social media and political polarization. However, few studies have analyzed how social media are affecting communication in parliamentary networks. This is especially relevant in highly fragmented political systems in which collaboration between political parties is crucial to win support in parliament. Does MPs’ use of social media foster communications among parliamentarians who think differently, or does it result in like-minded clusters polarized along party lines, confining MPs to those who think alike? This study analyzes the formation of communication ties and the degree of homophily in the Dutch MPs’ @mention Twitter network. We employed exponential random graph models on a 1-year sample of all tweets in which Dutch MPs mentioned each other ( N = 7,356) to discover the network parameters (reciprocity, popularity, and brokerage) and individual attributes (seniority, participation in the parliamentary commissions, age, gender, and geographical area) that facilitate communication ties among parliamentarians. Also, we measured party polarization by calculating the external–internal index of the mentions. Dutch MPs’ communication ties arise from network dynamics (reciprocity, brokerage, and popularity) and from MPs’ participation in the parliamentary commissions, age, gender, and geographical area. Furthermore, there is a high degree of cross-party interactions in the Dutch MPs’ mentions Twitter network. Our results refute the existence of “echo chambers” in the Dutch MPs’ mentions Twitter network and support the hypothesis that social media can open up spaces for discussion among political parties. This is particularly important in fragmented consensus democracies where negotiation and coordination between parties to form coalitions is key.

scholarly journals Low socioeconomic status is associated with self-reported HIV positive status among young MSM in Brazil and Peru

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Thiago S. Torres ◽  
Lara E. Coelho ◽  
Kelika A. Konda ◽  
E. Hamid Vega-Ramirez ◽  
Oliver A. Elorreaga ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Latin American ◽  
Low Socioeconomic Status ◽  
Low Income ◽  
Sexual Attraction ◽  
Hiv Positive ◽  
Sociodemographic Characteristics ◽  
Hiv Status ◽  
Hiv Test ◽  
Young Msm

Abstract Background Despite efforts to stop HIV epidemic in Latin America, new HIV cases continue to increase in the region especially among young MSM (YMSM). This study aims to assess if sociodemographic characteristics are associated with self-reported HIV positive status among YMSM from three Latin American countries. Methods Cross-sectional web-based survey advertised on dating apps (Grindr and Hornet) and Facebook in Brazil, Mexico and Peru. For this analysis, we included YMSM aged 18–24 years who self-reported their HIV status. We used multivariable logistic regression models for each country separately to verify if sociodemographic characteristics (race, education and income) were associated with HIV self-reported status after adjusting for behavior characteristics (sexual attraction and steady partner). Results Among 43,687 MSM who initiated the questionnaire, 27,318 (62.5%) reported their HIV status; 7001 (25.6%) of whom were YMSM. Most YMSM (83.4%) reported an HIV test in the past year, and 15.7% reported an HIV positive status in Peru, 8.4% in Mexico and 7.7% in Brazil. In adjusted models, low-income was associated with higher odds of self-reported HIV positive status in Brazil (aOR = 1.33, 95%CI: 1.01–1.75) and Peru (aOR = 1.56, 95%CI: 1.02–2.40), but not in Mexico. Lower education was associated with higher odds of self-reported HIV positive status only in Brazil (aOR = 1.35, 95%CI: 1.05–1.75). Conclusions In this large, cross-country study, self-reported HIV positive status among YMSM was high. Lower socioeconomic status was associated with higher odds of self-reported HIV positive status in Brazil and Peru. There is an urgent need for HIV prevention interventions targeting YMSM, and efforts to address low-income YMSM are especially needed in Peru and Brazil.

scholarly journals Exponential random graph models for little networks

2021 ◽  
Vol 64 ◽  
pp. 225-238
Author(s):  
George G. Vega Yon ◽  
Andrew Slaughter ◽  
Kayla de la Haye
Keyword(s):  
Random Graph ◽  
Exponential Random Graph Models ◽  
Graph Models ◽  
Random Graph Models ◽  
Exponential Random Graph

scholarly journals Investigation of Rater Effects Using Social Network Analysis and Exponential Random Graph Models

2017 ◽  
Vol 78 (3) ◽  
pp. 430-459 ◽  
Author(s):  
Iasonas Lamprianou
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Exponential Random Graph Models ◽  
Graph Models ◽  
High Stakes ◽  
Rating Data ◽  
New Approach ◽  
Exponential Random Graph ◽  
Rater Severity

It is common practice for assessment programs to organize qualifying sessions during which the raters (often known as “markers” or “judges”) demonstrate their consistency before operational rating commences. Because of the high-stakes nature of many rating activities, the research community tends to continuously explore new methods to analyze rating data. We used simulated and empirical data from two high-stakes language assessments, to propose a new approach, based on social network analysis and exponential graph models, to evaluate the readiness of a group of raters for operational rating. The results of this innovative approach are compared with the results of a Rasch analysis, which is a well-established approach for the analysis of such data. We also demonstrate how the new approach can be practically used to investigate important research questions such as whether rater severity is stable across rating tasks. The merits of the new approach, and the consequences for practice are discussed.

Why Legislative Networks? Analyzing Legislative Network Formation

2017 ◽  
Vol 7 (3) ◽  
pp. 505-522 ◽  
Author(s):  
Stefan Wojcik
Keyword(s):  
Political Parties ◽  
Network Formation ◽  
Contemporary Literature ◽  
Party Organization ◽  
Exponential Random Graph Models ◽  
Graph Models ◽  
Personal Traits ◽  
Random Graph Models ◽  
Exponential Random Graph ◽  
The Social

Are the social networks of legislators affected more by their political parties or their personal traits? How does the party organization influence the tendency of members to work collectively on a day-to-day basis? In this paper, I explore the determinants of the relationships of legislators in the Brazilian Chamber of Deputies. I use exponential random graph models to evaluate the relative influence of personal traits versus party influence in generating legislator relationships. Despite a focus on personalism in Brazil, the analysis reveals that the effects of political parties on tie formation are roughly equal to the effects of personal traits, suggesting that networks may make political parties much more cohesive than contemporary literature would lead us to believe.

Ecological Influences on the Formation of the Hiring Network in the Communication Job Market, 2015 to 2019

2021 ◽  
pp. 009365022110346
Author(s):  
Yu Xu
Keyword(s):  
Ecological Model ◽  
Ecological Factors ◽  
Niche Overlap ◽  
Formation Mechanisms ◽  
Hiring Decisions ◽  
Interorganizational Network ◽  
Exponential Random Graph Models ◽  
Network Ties ◽  
Past Behavior ◽  
Exponential Random Graph

This study investigates ecological factors that drive hiring decisions in the academic marketplace. Faculty hires between institutions are conceptualized as interorganizational network ties. Drawing on theoretical insights from network inertia and niche processes in organizational ecology, the current study builds an ecological framework to explain the formation mechanisms of the faculty hiring network among 81 U.S. institutions granting PhDs in communication. Consistent with the predictions of the ecological model of hiring decisions, the empirical results of exponential random graph models (ERGMs) revealed that past behavior (or the presence of previous ties), niche width (or the number of research specializations), and niche overlap (or the degree of shared research specializations) significantly constrained the likelihood of tie creation during the 2015 to 2019 period. These effects held true even when traditional explanations such as network self-organization and status-based hiring patterns were taken into account. Theoretical and practical implications are discussed.

Following the Leader: The Evolving Network of Charter School Giving

2019 ◽  
Vol 121 (10) ◽  
pp. 1-32
Author(s):  
David Diehl ◽  
Robert A. Marx
Keyword(s):  
Charter Schools ◽  
Charter School ◽  
Exponential Random Graph Models ◽  
Graph Models ◽  
Random Graph Models ◽  
Exponential Random Graph ◽  
Disproportionate Number ◽  
Charter Management Organizations ◽  
Foundation Type ◽  
Over Time

Background/Context Research on the patterns of philanthropic funding of charter schools has largely focused on the behavior of major foundations. This work has documented how the once diffuse giving by these major foundations has become increasingly concentrated on a small number of jurisdictional challengers in the form of charter schools, charter management organizations, and intermediary organizations. Purpose The current study examines whether this convergence in giving has spread to the entire network of foundations giving to charter-school-related organizations. We do so by extending current work and focus on the broader institutional field that includes the interactions between major foundations, smaller foundations, and grantees over time. Moreover, we look to see, if such a field-wide convergence is present, whether there is evidence consistent with the institutional process of isomorphism in which low-status foundations match the giving strategy of higher status ones. Research Design We test for these dynamics using exponential random graph models (ERGMs), a hypothesis-testing framework for network analysis. More specifically, we analyze the funding ties among 809 foundations that gave grants to California charter schools and charter-school-related organizations between 2003 and 2014, as available through the Foundation Directory Online. We constructed multiyear windows to examine funding ties between foundations and recipients, using organizational characteristics, such as foundation type, foundation year, professionalization, foundation size, organizational type, and location, and endogenous features of the network as independent variables. Findings Results indicate centralization of giving over time, as larger and newer foundations began practicing more targeted giving and the most connected recipients were involved in a disproportionate number of funding ties. We also found evidence consistent with institutionalization, as foundations with professional staffs played a larger role in giving, and smaller foundations increasingly engaged in behavior similar to their larger peers over time. Finally, we found evidence for the consistent effect of propinquity: We observe co-funding and co-receiving ties between foundations and grantees in geographical proximity to each other. Conclusions This work examines the network dynamics of charter school philanthropic giving and provides evidence for the centralization and institutionalization of the field. In turn, this may create inequity in funding for charter schools because it may be more difficult for smaller or less ideologically popular organizations to penetrate the field. Policy makers should be aware of these forces and should take them into account when making budgetary and funding decisions.

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