Mixture models such as latent class analysis offer a model-based alternative to k-modes clustering that accounts for classification errors and integrates subgroup membership into latent variable frameworks for physics education research.
Open Science Framework
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Advancing clustering methods in physics education research: A case for mixture models
Mixture models such as latent class analysis offer a model-based alternative to k-modes clustering that accounts for classification errors and integrates subgroup membership into latent variable frameworks for physics education research.