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Duxbury, Scott W. – Sociological Methods & Research, 2023
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…
Descriptors: Graphs, Scaling, Research Problems, Models
Patterson, M. S.; Prochnow, T.; Nelon, J. L.; Spadine, M. N.; Brown, S. E.; Lanning, B. A. – Journal of American College Health, 2022
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…
Descriptors: Violence, Victims, College Students, Student Attitudes
Wang, Cheng; Butts, Carter T.; Hipp, John; Lakon, Cynthia M. – Sociological Methods & Research, 2022
The recent popularity of models that capture the dynamic coevolution of both network structure and behavior has driven the need for summary indices to assess the adequacy of these models to reproduce dynamic properties of scientific or practical importance. Whereas there are several existing indices for assessing the ability of the model to…
Descriptors: Models, Goodness of Fit, Comparative Analysis, Computer Software
Sachisthal, Maien S. M.; Jansen, Brenda R. J.; Peetsma, Thea T. D.; Dalege, Jonas; van der Maas, Han L. J.; Raijmakers, Maartje E. J. – Journal of Educational Psychology, 2019
In this article, a science interest network model (SINM) is introduced and a first empirical test of the model is presented. The SINM models interest as a dynamic relational construct, in which different interest components, that is, affective, behavioral, and cognitive components and related motivational components mutually reinforce one another…
Descriptors: Foreign Countries, Comparative Education, Secondary School Students, Student Interests
Fagan, Jesse; Eddens, Katherine S.; Dolly, Jennifer; Vanderford, Nathan L.; Weiss, Heidi; Levens, Justin S. – Journal of Research Administration, 2018
Interdisciplinary research collaboration is needed to perform transformative science and accelerate innovation. The Science of Team Science strives to investigate, evaluate, and foster team science, including institutional policies that may promote or hinder collaborative interdisciplinary research and the resources and infrastructure needed to…
Descriptors: Authors, Network Analysis, Social Networks, Interdisciplinary Approach
Anderson, Ariana; Locke, Jill; Kretzmann, Mark; Kasari, Connie – Autism: The International Journal of Research and Practice, 2016
Although children with autism spectrum disorder are frequently included in mainstream classrooms, it is not known how their social networks change compared to typically developing children and whether the factors predictive of this change may be unique. This study identified and compared predictors of social connectivity of children with and…
Descriptors: Social Networks, Network Analysis, Elementary School Students, Autism

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