Network meta-analysis combines direct and indirect evidence to compare multiple treatments. As direct evidence for one treatment contrast may be indirect evidence for other treatment contrasts, biases in the direct evidence for one treatment contrast may affect not only the estimate for this particular treatment contrast but also estimates of…

The purpose of this study is to examine the effect of material incentives on the knowledge-sharing networks and information lifecycles of a public online forum. The users' interaction data were collected from two similar sub-forums, and one of them provided material incentives for sharing knowledge. After collecting user behaviors for one natural…

Network meta-analysis (NMA) is an established method for assessing the comparative efficacy and safety of competing interventions. It is often the case that we deal with interventions that consist of multiple, possibly interacting, components. Examples of interventions' components include characteristics of the intervention, mode (face-to-face,…

This article introduces a network approach to describe the quality of written scientific explanations. Existing approaches evaluate explanations mainly on the level of sentences or as a whole but not on the elementary level of single terms. Moreover, evaluation of explanations is often based on highly inferential scoring techniques. We addressed…

Doctoral work is often characterised as lonely and isolating (Holbrook et al. 2014). This paper explores how collaboration with peers and other professionals supports the doctoral learning experience. The research study asks what networks doctoral students engage with and how their engagement in networks supports their studies. Semi-structured…

As learning analytics use grows across U.S. colleges and universities, so does the need to discuss the plans, purposes, and paths for the data collected via learning analytics. More specifically, students, faculty, and others who are impacted by learning analytics use should have more information about their campus' learning analytics practices…

Reforming the professionalization experiences of future faculty members, including their undergraduate experience, provides a possible means to create scalable change in higher education. However, this requires an understanding of where faculty undergraduate training occurs. We analyze data from 7748 tenure-line faculty members across 611 U.S.…

Effect modification (EM) may cause bias in network meta-analysis (NMA). Existing population adjustment NMA methods use individual patient data to adjust for EM but disregard available subgroup information from aggregated data in the evidence network. Additionally, these methods often rely on the shared effect modification (SEM) assumption. In this…

Purpose: School leaders rely on a number of collaborative policy tools to address fiscal and governance issues. While prior research has examined the dynamics and implications of research-practice and public-private partnerships, this study addresses a third form of collaboration: interdistrict cooperative agreements. Method: We develop a unique…

This thesis consists of two projects I worked on simultaneously throughout my PhD. Although neither project builds on the other, both investigate social systems as networks, and draw on a common set of statistical tools and methods.In the first project, I analyse the academic employment and doctoral education of tenure- track faculty at all…

Built environment research has long been interested in understanding the complexities of transitional spaces by investigating their hosted interactions. One approach used in efforts of this kind is actor-network theory (ANT), which conceptualizes built spaces as networks of relations that allow for certain interactions but not others. Previous…

The main goal of this article is to analyse the Non-Partisan School movement (EsP, or Escola sem Partido) which articulates social and political actors around a conservative agenda for education in Brazil. Based on Ball's studies, this article analyses political governance networks using a free software, GEPHI, using a qualitative network…

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…

Transforming schools through mastery learning may solve education's existential crisis, offering today's learners the relevance and individualization they need while returning to the most ancient form of assessment, proving that learning has occurred. Mastery learning requires significant change to all the norms and practices of school, altering…

The present study explored the public conceptualization of creativity on Twitter through co-listed hashtags associated with #creativity in a million tweets. Exploratory Graph Analysis was used to identify a network of semantic clusters, and a pre-trained language model yielded the sentiment of the underlying tweets. The semantic clusters reflect…