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Chapter
Epistemic Network Analysis and Ordered Network Analysis in Learning Analytics
This chapter provides a tutorial on conducting epistemic network analysis (ENA) and ordered network analysis (ONA) using R. We introduce these two techniques together because they share similar theoretical fou...
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Article
Open AccessAn epistemic network analysis of patient decision-making regarding choice of therapy
Patient decision-making concerning therapy choice has been thoroughly investigated in the Push/Pull framework: factors pushing the patient away from biomedicine and those pulling them towards Complementary and...
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Chapter and Conference Paper
Thin Data, Thick Description: Modeling Socio-Environmental Problem-Solving Trajectories in Localized Land-Use Simulations
Many learning technologies are now able to support both user-customization of the content and automated personalization of the experience based on user activities. However, there is a tradeoff between customiz...
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Chapter and Conference Paper
Exploring the Effects of Segmentation on Semi-structured Interview Data with Epistemic Network Analysis
Quantitative ethnographic models are typically constructed using qualitative data that has been segmented and coded. While there exist methodological studies that have investigated the effects of changes in co...
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Chapter and Conference Paper
Trajectories in Epistemic Network Analysis
While quantitative ethnographers have used epistemic network analysis (ENA) to model trajectories that show change in network structure over time, visualizing trajectory models in a way that facilitates accur...
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Chapter and Conference Paper
Simplification of Epistemic Networks Using Parsimonious Removal with Interpretive Alignment
A key goal of quantitative ethnographic (QE) models, and statistical models more generally, is to produce the most parsimonious model that adequately explains or predicts the phenomenon of interest. In epistemic ...
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Chapter and Conference Paper
How We Code
Coding data—defining concepts and identifying where they occur in data—is a critical aspect of qualitative data analysis, and especially so in quantitative ethnography. Coding is a central process for creating...
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Chapter and Conference Paper
Directed Epistemic Network Analysis
Quantitative ethnographers across a range of domains study complex collaborative thinking (CCT): the processes by which members of a group or team develop shared understanding by making cognitive connections f...
