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AN ITERATIVE GLMM–XGBOOST ALGORITHM WITH GROUP-AWARE CONDITIONAL PERMUTATION IMPORTANCE FOR EXPLAINING MULTILEVEL ITEM RESPONSE DATA

delete2026-04-27
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Sun‐Joo Cho
DOI:10.1017/psy.2026.10114delete
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Abstract

Abstract

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//static.cambridge.org/content/id/urn%3Acambridge.org%3Aid%3Aarticle%3AS0033312326101148/resource/name/firstPage-pdf-S0033312326101148a.jpg
Keywords:
GLMM
XGBoost
multilevel data
item response theory
conditional permutation importance
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Journal

Psychometrika cover
Psychometrika
IF:
3.1
Papers:
61
Citations:
1.4W

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