By Mellor J.W.
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Additional info for A comprehensive treatise on inorganic and theoretical chemistry vol.VIII N, Cl
In other words, any analytic procedure that can identify taxa may 31 be considered taxometric, as long as the investigation is faithful to the philosophical premises of taxometrics. The computational complexity of taxometric procedures varies, and some of them require fairly sophisticated software. A few such software packages have been created and are now available on the Internet. These programs differ in the scope and details of their execution of taxometric principles. Because discussion of these principles is more fruitful when supplemented by concrete examples, we had to choose one package as the background for the more detailed explanations.
A single taxonic finding, a single MAXCOV peak, can be a mistake for many reasons. Peculiarity of the sample, idiosyncrasy of the measures, an unforeseen influence of the specifics of the problem on the procedure, or a random fluctuation can result in a false taxonic finding. However, a constellation of consistent taxonic findings is much less likely to be a mistake. If an investigator finds an effect and it replicates across various analyses, he or she can conclude that there is strong evidence in support of the effect, although it is possible that these results are due to error.
The simplest approach is to require at least as many taxonic as nontaxonic graphs; that is, a ratio of 1:1. However, many researchers are concerned with false positive findings (mistakenly reporting discovery of a taxon) and use more stringent cutoffs, such as 2:1, meaning that there should be at least twice as many taxonic as nontaxonic plots. The most stringent cutoff we have encountered in the literature is 3:1. Our simulation study suggests that the 1:1 cutoff is perfectly adequate and may be superior to the alternatives.