Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/311075
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | A univariate analysis of variance design for multiple-choice feeding-preference experiments: A hypothetical example with fruit-eating birds |
Autor: | Larrinaga, Asier R. CSIC ORCID | Palabras clave: | Foraging ecology Frugivory Fruit colour selection Multiple-choice feeding experiments Preference index Repeated-measures ANOVA |
Fecha de publicación: | 1-ene-2010 | Editor: | Elsevier | Citación: | Acta Oecologica 36: 141-148 (2010) | Resumen: | I consider statistical problems in the analysis of multiple-choice food-preference experiments, and propose a univariate analysis of variance design for experiments of this type. I present an example experimental design, for a hypothetical comparison of fruit colour preferences between two frugivorous bird species. In each fictitious trial, four trays each containing a known weight of artificial fruits (red, blue, black, or green) are introduced into the cage, while four equivalent trays are left outside the cage, to control for tray weight loss due to other factors (notably desiccation). The proposed univariate approach allows data from such designs to be analysed with adequate power and no major violations of statistical assumptions. Nevertheless, there is no single "best" approach for experiments of this type: the best analysis in each case will depend on the particular aims and nature of the experiments. © 2009 Elsevier Masson SAS. All rights reserved. | Descripción: | 8 páginas, 3 tablas | Versión del editor: | https://doi.org/10.1016/j.actao.2009.11.003 | URI: | http://hdl.handle.net/10261/311075 | DOI: | 10.1016/j.actao.2009.11.003 | ISSN: | 1146609X |
Aparece en las colecciones: | (MBG) Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
accesoRestringido.pdf | 59,24 kB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
SCOPUSTM
Citations
11
checked on 01-may-2024
WEB OF SCIENCETM
Citations
10
checked on 27-feb-2024
Page view(s)
21
checked on 10-may-2024
Download(s)
4
checked on 10-may-2024
Google ScholarTM
Check
Altmetric
Altmetric
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.