Density is generally a valuable parameter because it can be compared across populations of varying size and geographic scope, and used as an indicator for behavioral ecology and conservation questions relating to, for example, resource density, group structure and dynamics, and hunting pressure [ 31, 48, 49].
Nucleotide usage patterns in both bacteriophages and prokaryotes represent genomic signatures that can be compared across organisms in genome size-independent analysis [ 19, 20].
The Sydney system has the following advantages over the Talairach system: (1) the fundamental axis is more than four times longer and is easier to identify; (2) the Sydney system is more precise, in that it reduces the spread of points across the sample; (3) the normalised coordinates allow locations to be compared across individuals, regardless of brain size.
This data matrix should be saved and distributed so that effect sizes can be compared across studies.
In order to compare the effect sizes of variables in the five different areas under investigation for associations with SRHS (see above), partial Eta-square statistic was used as it allows effect sizes to be compared across different variables, independent of any other variables included in the model [ 34, 35].
Alpha diversity indices cannot be compared across ecosystems, when the samples are of unequal size, because the indices depend on the sample size (with the exception of PIE).
E-values, the calculation of which is dependent upon the size of the database, can only be compared across searches against a common database.
However, BF also requires an assumption about the effect size, but the major advantage is that it can be compared across studies [ 9].
The value of research, especially that involving small sample sizes, can be enhanced by the application of consistent methodology and reporting enabling results to be compared across studies.
First, it can be compared across hemispheres.
