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…

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…

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…

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…

The dynamics of mastering the degrees of freedom in motor learning are still far from being understood. The present work explored coordination dynamics in a redundant task, relating it to performance and adaptation in a serial stimulus tracking task. One hundred and sixty-three children (10-14 years of age) continuously responded to sequential…

In the present study, using complex network analysis, we conducted a one-year including two semesters to investigate the effect of social network intervention on college students' social perception biases. One hundred and seventy college students participated in this study. Social network intervention was implemented in the second semester.…

This study aims to characterise inter-organisational collaboration and support networks between schools in a privatised, marketised, and competitive school system. It is located within and contributes to a body of literature on school networks, which has primarily focused on studying the architecture and conditions for the sustainability of the…

One expected outcome of physics instruction is for students to be capable of relating physical concepts to multiple mathematical representations. In quantum mechanics (QM), students are asked to work across multiple symbolic notations, including some they have not previously encountered. To investigate student understanding of the relationships…