Missing data presents a significant challenge in Educational Data Mining (EDM). Imputation techniques aim to reconstruct missing data while preserving critical information in datasets for more accurate analysis. Although imputation techniques have gained attention in various fields in recent years, their use for addressing missing data in…

Distances derived from word embeddings can measure a range of gradational relations--similarity, hierarchy, entailment, and stereotype--and can be used at the document- and author-level in ways that overcome some of the limitations of weighted dictionary methods. We provide a comprehensive introduction to using word embeddings for relation…

In a mixed-methods study on poverty in Germany, we conducted qualitative interviews and collected quantitative data on ego-centered networks using a name-generator approach and a single set of respondents. Based on the qualitative data, we first developed a typology of negative ties and then evaluated which of these ties the name generator (on…