Egocentric networks represent a popular research design for network research. However, to what extent and under what conditions egocentric network centrality can serve as reasonable substitutes for their sociocentric counterparts are important questions to study. The answers to these questions are uncertain simply because of the large variety of…

Background: Process data captured by computer-based assessments provide valuable insight into respondents' cognitive processes during problem-solving tasks. Although previous studies have utilized process data to analyse behavioural patterns or strategies in problem-solving tasks, the connection between latent cognitive states and their…

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 application of network meta-analysis is becoming increasingly widespread, and for a successful implementation, it requires that the direct comparison result and the indirect comparison result should be consistent. Because of this, a proper detection of inconsistency is often a key issue in network meta-analysis as whether the results can be…

Network analysis has become a well-recognized methodology in physics education research (PER), with study topics including student performance and persistence, faculty change, and the structure of conceptual networks. The social network analysis side of this work has focused on quantitative analysis of whole-network cases, such as the structure of…

Contribution: Our work focuses on building research capacity in engineering education research (EER). We operationalize enculturation of novice researchers into the EER community by studying temporal changes in the social networks of engineering faculty participating in a mentorship-based training grant. Background: The U.S. National Science…

Precisely estimating factor scores is challenging, especially when models are mis-specified. Stemming from network analysis, centrality measures offer an alternative approach to estimating the scores. Using a two-fold simulation design with varying availability of a priori theoretical knowledge, this study implemented hybrid centrality to estimate…

We propose a new method for analyzing and visualizing information on a large collection of personal networks to uncover the socio-centric structure of relationships among aggregated actors that we clustered into categories. The network of categories identifies the links between groups of sampled ego actors sharing a given attribute (e.g.,…

Background: Statistics courses are a necessary component of undergraduate education, but psychology majors often have negative associations with statistics. One way to promote learning within classrooms is to promote classroom connectedness, but few studies have examined classroom connectedness using a social network paradigm. Objective: The…

Thirteen years after the publication of the book "Social Network Theory and Educational Change," what can we say about the evolution of research connecting social network theory and analysis with teacher professional development? In this evolution, we can witness a conceptual shift in the literature connecting teacher professional…

Although traditional analytical techniques can characterize learners' internal cognitive abilities laterally and indirectly, it is difficult to present learners' learning development characteristics and changes comprehensively and dynamically. Epistemic network analysis, on the other hand, is an emerging educational research method that integrates…

Process data from educational assessments enhance the understanding of how students answer cognitive items. However, effectively making use of these data is challenging. We propose an approach to identify solution patterns from operation sequences and response times by generating networks from process data and defining network features that…

School leadership research literature has a large number of widely used constructs. Could fewer constructs bring more clarity? This study evaluates construct content validity, defined as the extent to which a measure's items reflect a theoretical content domain, in school leadership literature. To do so, we reviewed 29 articles that used Teaching…

Teach for Australia was announced by the Australian Government in 2008, at a corporate dinner sponsored by Swiss multinational investment bank UBS, hosting New York Schools Chancellor Joel Klein. Conceptualising Teach for Australia as a polycentric policy network anchored in venture philanthropy, this paper examines how networks mobilise major…

The Brief Electricity and Magnetism Assessment (BEMA) is a multiple-choice instrument commonly used to measure introductory undergraduate students' conceptual understanding of electricity and magnetism. This study used a network analysis technique called modified module analysis-partial (MMA-P) to identify clusters of correlated responses, also…