Prediction With Mixed Effects Models: A Monte Carlo Simulation Study.
Oftentimes in many fields of the social and natural sciences, data are obtained within a nested structure (e.g., students within schools). To effectively analyze data with such a structure, multilevel models are frequently employed. The present study utilizes a Monte Carlo simulation to compare seve...
| Publicado en: | Educational & Psychological Measurement Vol. 81; no. 6; pp. 1118 - 1143 |
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| Autores principales: | , |
| Formato: | Artículo |
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Sage Publications Inc.
Dec2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=152521515&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 152521515 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00131644 EPM jtl: Educational & Psychological Measurement issn: 00131644 maglogo: Y pubinfo: dt: Dec2021 vid: 81 iid: 6 pid: 344 pub: Sage Publications Inc. artinfo: ui: 152521515 10.1177/0013164421992818 ppf: 1118 ppct: 25 formats: tig: atl: Prediction With Mixed Effects Models: A Monte Carlo Simulation Study. aug: au: Mangino, Anthony A. Finch, W. Holmes affil: Ball State University, Teachers College, Muncie, IN, USA su: Computer simulation Analysis of variance Sample size (Statistics) Random forest algorithms Descriptive statistics Statistical models Artificial neural networks Data analysis software Algorithms sug: subj: Computer simulation Analysis of variance Sample size (Statistics) Random forest algorithms Descriptive statistics Statistical models Artificial neural networks Data analysis software Algorithms keyword: classification multilevel modeling predictive modeling classification multilevel modeling predictive modeling ab: Oftentimes in many fields of the social and natural sciences, data are obtained within a nested structure (e.g., students within schools). To effectively analyze data with such a structure, multilevel models are frequently employed. The present study utilizes a Monte Carlo simulation to compare several novel multilevel classification algorithms across several varied data conditions for the purpose of prediction. Among these models, the panel neural network and Bayesian generalized mixed effects model (multilevel Bayes) consistently yielded the highest prediction accuracy in test data across nearly all data conditions. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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