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Ragan, Daniel T.; Osgood, D. Wayne; Ramirez, Nayan G.; Moody, James; Gest, Scott D. – Sociological Methods & Research, 2022
The current study compares estimates of peer influence from an analytic approach that explicitly address network processes with those from traditional approaches that do not. Using longitudinal network data from the PROmoting School-community-university Partnerships to Enhance Resilience peers project, we obtain estimates of social influence on…
Descriptors: Peer Influence, Social Networks, Network Analysis, Regression (Statistics)
Explaining Trace-Based Learner Profiles with Self-Reports: The Added Value of Psychological Networks
Jelena Jovanovic; Dragan Gaševic; Lixiang Yan; Graham Baker; Andrew Murray; Danijela Gasevic – Journal of Computer Assisted Learning, 2024
Background: Learner profiles detected from digital trace data are typically triangulated with survey data to explain those profiles based on learners' internal conditions (e.g., motivation). However, survey data are often analysed with limited consideration of the interconnected nature of learners' internal conditions. Objectives: Aiming to enable…
Descriptors: Psychological Patterns, Networks, Profiles, Learning Processes
Stadtfeld, Christoph; Snijders, Tom A. B.; Steglich, Christian; van Duijn, Marijtje – Sociological Methods & Research, 2020
Longitudinal social network studies can easily suffer from insufficient statistical power. Studies that simultaneously investigate change of network ties and change of nodal attributes (selection and influence studies) are particularly at risk because the number of nodal observations is typically much lower than the number of observed tie…
Descriptors: Longitudinal Studies, Social Networks, Statistical Analysis, Effect Size
Yousefi Nooraie, Reza; Sale, Joanna E. M.; Marin, Alexandra; Ross, Lori E. – Journal of Mixed Methods Research, 2020
A quantitative approach to social network analysis involves the application of mathematical and statistical techniques and graphical presentation of results. Nonetheless--as with all sciences--subjectivity is an integral aspect of network analysis, manifested in the selection of measures to describe connection patterns and actors' positions (e.g.,…
Descriptors: Social Networks, Network Analysis, Visualization, Social Structure
de Roo, Nina; Amede, Tewodros; Elias, Eyasu; Almekinders, Conny; Leeuwis, Cees – Journal of Agricultural Education and Extension, 2023
Purpose: Agricultural extension services in poor countries often identify opinion leaders based on criteria such as wealth and social status. We explore the effectiveness of this top-down approach by analysing the role of so-called model and nodal farmers in the diffusion of malt barley in a highland community in Ethiopia. Research approach: We…
Descriptors: Network Analysis, Social Status, Rural Extension, Case Studies
Su, Yu-Xuan; Tu, Yu-Kang – Research Synthesis Methods, 2018
Network meta-analysis compares multiple treatments in terms of their efficacy and harm by including evidence from randomized controlled trials. Most clinical trials use parallel design, where patients are randomly allocated to different treatments and receive only 1 treatment. However, some trials use within person designs such as split-body,…
Descriptors: Network Analysis, Meta Analysis, Randomized Controlled Trials, Research Design
Harling, Guy; Perkins, Jessica M.; Gómez-Olivé, Francesc Xavier; Morris, Katherine; Wagner, Ryan G.; Montana, Livia; Kabudula, Chodziwadziwa W.; Bärnighausen, Till; Kahn, Kathleen; Berkman, Lisa – Field Methods, 2018
Social network analysis depends on how social ties to others are elicited during interviews, a process easily affected by respondent and interviewer behaviors. We investigate how the number of self-reported important social contacts varied within a single data collection round. Our data come from Health and Aging in Africa: a Longitudinal Study of…
Descriptors: Foreign Countries, Interviews, Longitudinal Studies, Social Networks
Ghosh, Jaideep; Kshitij, Avinash – Sociological Methods & Research, 2017
This article introduces a number of methods that can be useful for examining the emergence of large-scale structures in collaboration networks. The study contributes to sociological research by investigating how clusters of research collaborators evolve and sometimes percolate in a collaboration network. Typically, we find that in our networks,…
Descriptors: Cooperation, Network Analysis, Sociology, Evaluation Methods
Srebotnjak, Tanja; Norgaard, Lee Michelle – International Journal of Sustainability in Higher Education, 2017
Purpose: The purpose of this study is to map and analyze sustainability activities and relationships at the seven Claremont Colleges and graduate institutions using social network analysis (SNA) to inform sustainability planning and programming. Design/methodology/approach: Online surveys and interviews were conducted among faculty, staff and…
Descriptors: Network Analysis, Higher Education, Sustainability, Online Surveys
Knaub, Alexis V.; Henderson, Charles; Fisher, Kathleen Quardokus – International Journal of STEM Education, 2018
Background: Social network analysis (SNA) literature suggests that leaders should be well connected and can be identified through network measurements. Other literature suggests that identifying leaders ideally involves multiple methods. However, it is unclear using SNA alone is sufficient for identifying leaders for higher education change…
Descriptors: Social Networks, Network Analysis, STEM Education, Educational Change
Liu, Haiyan; Jin, Ick Hoon; Zhang, Zhiyong – Grantee Submission, 2018
Psychologists are interested in whether friends and couples share similar personalities or not. However, no statistical models are readily available to test the association between personalities and social relations in the literature. In this study, we develop a statistical model for analyzing social network data with the latent personality traits…
Descriptors: Structural Equation Models, Social Networks, Personality Traits, Statistical Analysis
Sagnak, Muhittin; Ada, Nesrin; Kazancoglu, Yigit; Tayaksi, Cansu – Journal of Education for Business, 2017
There is an increasing competition between universities globally to attract students. At this point, to compete, it is imperative for the universities to improve the quality of education provided for their stakeholders, including students, parents, and employers. For improving the quality of education, first of all, the universities should make…
Descriptors: Educational Quality, Business Schools, Higher Education, Universities
Ginexi, Elizabeth M.; Huang, Grace; Steketee, Michael; Tsakraklides, Sophia; MacAllum, Keith; Bromberg, Julie; Huffman, Amanda; Luke, Douglas A.; Leischow, Scott J.; Okamoto, Janet M.; Rogers, Todd – Research Evaluation, 2017
This article presents a case study of a scientist-practitioner research network established by the National Cancer Institute's State and Community Tobacco Control Research Initiative. While prior programs have focused on collaboration among scientists, a goal here was to encourage collaborations with non-university, practice-based partners. Two…
Descriptors: Social Networks, Network Analysis, Scientists, Case Studies
Weyori, Alirah Emmanuel; Amare, Mulubrhan; Garming, Hildegard; Waibel, Hermann – Journal of Agricultural Education and Extension, 2018
Purpose: We assess farm technology adoption in an integrated analysis of social networks and innovation in plantain production in Ghana. The paper explores the strength of social networks in the agricultural innovation systems (AISs) and the effect of AISs on adoption of improved farm technology. Methodology/Approach: The paper uses social network…
Descriptors: Agricultural Production, Social Networks, Social Capital, Innovation
Lamprianou, Iasonas – Educational and Psychological Measurement, 2018
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…
Descriptors: Social Networks, Network Analysis, Comparative Analysis, Innovation