model refinement

Parsimonious code removal sought simpler ENA models without losing interpretive alignment

Yeyu Wang, Zachari Swiecki, A. R. Ruis, David Williamson Shaffer

2nd International Conference on Quantitative Ethnography (ICQE 2020)

How analysts can identify smaller ENA code sets while protecting both explanatory performance and the alignment between quantitative features and qualitative meaning. The demonstration identified reduced models likely to retain explanatory power and interpretive alignment, showing that simplification can be evaluated rather than improvised. Success against one established model does not justify deleting codes solely for visual neatness or guarantee that the same criterion preserves meaning in another study.

確認済みの論文要約は現在英語で提供しています。