Looking for the lost independence: using Mixed Generalized Linear Models in choice tests
The preference of organisms for resources is usually evaluated through multiple-choice tests, without accounting the lack of independence present in the data. This study presents several statistical models which explicitly consider such dependence structure comparing their performance by using real non-simulated data. Four types of models were used: Analysis of Deviance (Generalized Mixed Linear Model), Analysis of Variance with a factor, One-way ANOVA with random block effect (both General Mixed Linear Models) and Non-Parametric ANOVA with block effect (Friedman Test). A covariable and an offset variable were also added to the Mixed GLM model. Results suggest that the most powerful model for the counting-type variable (with Poisson distribution), is the Mixed GLM; whereas for the relativized variable (count/surface), is the Mixed GLM with an offset variable.
| Main Authors: | , |
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| Format: | Digital revista |
| Language: | spa |
| Published: |
Asociación Argentina de Ecología
2005
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| Online Access: | https://ojs.ecologiaaustral.com.ar/index.php/Ecologia_Austral/article/view/1466 |
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