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The Impact of Sample Attrition on Longitudinal Learning Diagnosis: A Prolog
Missing data are hard to avoid, or even inevitable, in longitudinal learning diagnosis and other longitudinal studies. Sample attrition is one of the most common missing patterns in practice, which refers to students dropping out before the end of the study and not returning. This brief research aim...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7325952/ https://www.ncbi.nlm.nih.gov/pubmed/32655428 http://dx.doi.org/10.3389/fpsyg.2020.01051 |