Advances in Quantitative Ethnography

QE Theory and Methodology Research.- The Foundations and Fundamentals of Quantitative Ethnography.- LSTM Neural Network Assisted Regex Development for Qualitative Coding.- Does Active Learning Reduce Human Coding?: A Systematic Comparison of Neural Network with nCoder.- Reducing networks of ethnographic codes co-occurrence in anthropology.- Multiclass Rotations in Epistemic Network Analysis.- Is QE Just ENA?.- The Role of Data Simulation in Quantitative Ethnography.- Ordered Network Analysis.- Creating and Discussing Discourse Networks with Research Participants: What Can we Learn?.- Modeling Collaborative Discourse with ENA using a Probabilistic Function.- Segmentation and Code Co-occurrence Accumulation: Operationalizing Relational Context with Stanza Windows.- Parsing the Continuum: Manual Segmentation of Monologic Data.- Applications in Education Contexts.- An Examination of Student Loan Borrowers'Attitudes toward Debt before and during COVID-19.- Learning through feedback: Understanding early-career teachers' learning using online video platforms.- How Can We Co-Design Learning Analytics for Game-Based Assessment: ENA Analysis.- Automated Code Extraction from Discussion Board Text Dataset.- Mathematics Teachers' Knowledge for Teaching Proportion: Using Two Frameworks to Understand Knowledge in Action.- Self-Regulation in Foreign Language Students' Collaborative Discourse for Academic Writing: An Explorative Case Study on Epistemic Network Analysis.- Community At a Distance: Understanding Student Interactions in Course-Based Online Discussion Forums.- Modeling Students' Performances in Physics Assessment Tasks Using Epistemic Network Analysis.- Computational thinking in educational policy - the relationship between goals and practices.- Understanding Detectors for SMART Model Cognitive Operation in Mathematical Problem-Solving Process: