Modeling Social Networks as Mediators: A Mixed Membership Stochastic Blockmodel for Mediation

Sweet, Tracy M.

doi:10.3102/1076998618814255

Cited by 13 publications

(6 citation statements)

References 42 publications

(56 reference statements)

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“…Sweet, 2019). 30 In the logistic regression models, support variables (i.e., emotional, informational, and logistical), were dichotomized with "satisfied" coded as 1 and "not satisfied" coded as 0. Responses of wanting support "more often" or "less often" were collapsed into the "not satisfied" category.…”

Section: Data Analysesmentioning

confidence: 99%

Understanding social network support, composition, and structure among cancer caregivers

et al. 2023

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Objective: We examined the social network support, composition, and structure of pediatric cancer caregivers. Methods:We used a self-report survey to collect egocentric social network data from 107 caregivers of pediatric cancer patients and calculated descriptive statistics to examine cancer-related support network composition, function, and structure.We then ran logistic regressions to examine the relationships between network characteristics and overall satisfaction with social support.Results: Family members were the most common source of emotional support and logistical support, and health care providers were the most common source of informational support. Participants perceived the "most helpful" forms of support as being: (1) emotional support from family and health care providers; (2) informational support from health care providers and other cancer caregivers; and (3) logistical support from family. Overall, caregivers wished that 9.8% of their network ties had provided more support, with family members being the most common alter type to disappoint caregivers and offer less support than needed/expected. Caregivers who reported higher network disappointment (having network members who offered less support than needed/expected) were significantly less satisfied with emotional support than those with lower network disappointment (Odds Ratio = 0.18, p = 0.02), and caregivers with higher network disappointment were significantly less satisfied with logistical support compared to those with lower network disappointment (Odds Ratio = 0.14, p = 0.01). Conclusion:Our results show differences in the nature of social support provided by different types of network members. These findings have implications for tailoring social network interventions to improve caregiver and family outcomes.

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Section: Data Analysesmentioning

confidence: 99%

Understanding social network support, composition, and structure among cancer caregivers

et al. 2023

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“…However, at present, SAOMs do not allow for mediational analyses. Existing network models that can test mediational processes are still in development and have focused on network features as the mediator rather than the outcome (e.g., Liu et al, 2021;Sweet, 2019).…”

Section: Discussionmentioning

confidence: 99%

The Role of Full- and Half-Day Preschool Attendance in the Formation of Children’s Social Networks

Neal¹,

Brutzman²,

Durbin³

2021

Preprint

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In the United States, the duration of children’s preschool attendance differs, with some children attending full-day preschool and some children attending half-day preschool. This difference provides uneven daily exposure to peers that may have implications for childhood social outcomes, including the formation of social networks over time. In this study, we examined the role of full and half day preschool attendance in children’s social network formation. Specifically, using stochastic actor-oriented modeling, we analyzed longitudinal social network data from an intensive observational study of 25 3-year-old and 28 4-year-old students’ social play relationships in two preschool classrooms over the course of an entire school year. Full-day preschool attendance had a negative effect on the formation of children’s social play relationships over time for 3-year-olds but not 4-year-olds. Specifically, 3-year-old children who attended full-day preschool were less likely than their half-day peers to be selected as playmates. We discuss potential developmental and contextual factors that might explain this finding as well as future directions for research.

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“…The latent positions can be estimated using the latentnet package (Krivitsky and Handcock, 2008 ), the Eigenmodel package (Hoff, 2012 ), or the AMEN package (Hoff, 2015 ). Social networks have been fitted as regression mediators in the hierarchical network model (HNM) for mediation, proposed by Sweet ( 2019 ). In HNM for mediation, a network statistic is used to summarize the entire network and then fitted as the mediator in a regression model.…”

Section: Introducing Latent Variable Network Modeling To Psychometric Modelsmentioning

confidence: 99%

Recent Integrations of Latent Variable Network Modeling With Psychometric Models

Wang

2021

Front. Psychol.

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The combination of network modeling and psychometric models has opened up exciting directions of research. However, there has been confusion surrounding differences among network models, graphic models, latent variable models and their applications in psychology. In this paper, I attempt to remedy this gap by briefly introducing latent variable network models and their recent integrations with psychometric models to psychometricians and applied psychologists. Following this introduction, I summarize developments under network psychometrics and show how graphical models under this framework can be distinguished from other network models. Every model is introduced using unified notations, and all methods are accompanied by available R packages inducive to further independent learning.

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Modeling Social Networks as Mediators: A Mixed Membership Stochastic Blockmodel for Mediation

Cited by 13 publications

References 42 publications

Understanding social network support, composition, and structure among cancer caregivers

Understanding social network support, composition, and structure among cancer caregivers

The Role of Full- and Half-Day Preschool Attendance in the Formation of Children’s Social Networks

Recent Integrations of Latent Variable Network Modeling With Psychometric Models

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