Advancing clustering methods in physics education research: A case for mixture models

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Peer reviewed

Minghui Wang, Meagan Sundstrom, Karen Nylund-Gibson and Marsha Ing

Physical review. Physics education research, v 21(2), 020126

01 Sep 2025

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Title: Advancing clustering methods in physics education research: A case for mixture models
Creators: Minghui Wang - University of California, Santa Barbara
Meagan Sundstrom - Drexel University
Karen Nylund-Gibson - University of California, Santa Barbara
Marsha Ing - University of California, Riverside
Publication Details: Physical review. Physics education research, v 21(2), 020126
Publisher: American Physical Society
Grant note: American Physical Society (http://data.elsevier.com/vocabulary/SciValFunders/100005460) 2224786 / National Science Foundation (http://data.elsevier.com/vocabulary/SciValFunders/100000001) Cotswold Foundation (http://data.elsevier.com/vocabulary/SciValFunders/100018535) Drexel University (http://data.elsevier.com/vocabulary/SciValFunders/100008211)
Resource Type: Journal article
Language: English
Academic Unit: Physics
Web of Science ID: WOS:001571792600001
Scopus ID: 2-s2.0-105023447235
Other Identifier: 991022197309904721

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Collaboration types: Domestic collaboration
Web of Science research areas: Education & Educational Research; Education, Scientific Disciplines