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A new approach for modeling generalization gradients: a case for hierarchical models
A case is made for the use of hierarchical models in the analysis of generalization gradients. Hierarchical models overcome several restrictions that are imposed by repeated measures analysis-of-variance (rANOVA), the default statistical method in current generalization research. More specifically,...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4446539/ https://www.ncbi.nlm.nih.gov/pubmed/26074834 http://dx.doi.org/10.3389/fpsyg.2015.00652 |