Fixed Effects or Mixed Effects Classifiers? Evidence From Simulated and Archival Data.

This study seeks to compare fixed and mixed effects models for the purposes of predictive classification in the presence of multilevel data. The first part of the study utilizes a Monte Carlo simulation to compare fixed and mixed effects logistic regression and random forests. An applied examination...

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Bibliographic Details
Published in:	Educational & Psychological Measurement Vol. 83; no. 4; pp. 710 - 740
Main Authors:	Mangino, Anthony A., Bolin, Jocelyn H., Finch, W. Holmes
Format:	Article
Published:	Sage Publications Inc. Aug2023
Subjects:	Analysis of variance Educational tests & measurements Academic achievement Students Multivariate analysis Simulation methods in education Random forest algorithms Database management School holding power Intraclass correlation Research funding Statistical models Logistic regression analysis Cluster analysis (Statistics) Data analysis software Receiver operating characteristic curves
Online Access:	View this record in EBSCOhost