Abstract
Comparative studies have increased greatly in number in recent years due to advances in statistical and phylogenetic methodologies. For these studies, a trade-off often exists between the number of species that can be included in any given study and the number of individuals examined per species. Here, we describe a simple simulation study examining the effect of intraspecific sample size on statistical error in comparative studies. We find that ignoring measurement error has no effect on type I error of nonphylogenetic analyses, but can lead to increased type I error under some circumstances when using independent contrasts. We suggest using ANOVA to evaluate the relative amounts of within- and between-species variation when considering a phylogenetic comparative study. If within-species variance is particularly large and intraspecific sample sizes small, then either larger sample sizes or comparative methods that account for measurement error are necessary.
Original language | English |
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Pages (from-to) | 2705-2710 |
Number of pages | 6 |
Journal | Evolution |
Volume | 59 |
Issue number | 12 |
DOIs | |
State | Published - Dec 2005 |
Keywords
- Independent contrasts
- Measurement error
- Phylogenetic comparative method
- Population variation
- Statistics