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Applying the Generalized Logistic Model in Single Case Designs: Modeling Treatment-Induced Shifts
Many analytical approaches to single-case data assume either linear effects (regression-based methods) or instant effects (mean-based methods). Neither assumption is realistic; therefore, these approaches’ assumptions are often violated. In this article, we propose modeling curvilinear effects to ap...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
SAGE Publications
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6873223/ https://www.ncbi.nlm.nih.gov/pubmed/30079759 http://dx.doi.org/10.1177/0145445518791255 |