Multiple imputation and pooling strategies for handling wide-format missing data in latent growth curve modeling
Latent growth curve modeling (LGCM), commonly employed in psychological sciences, often encounters the challenge of missing data, which introduce difficulties into the modeling process. While the full information maximum likelihood (FIML) is the dominant missing data handling technique in practice,...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
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Frontiers Media S.A.
2026-03-01
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| Schriftenreihe: | Frontiers in Psychology |
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| Online-Zugang: | https://www.frontiersin.org/articles/10.3389/fpsyg.2026.1614844/full |
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