Discriminant validity, the degree to which tests from different cognitive domains does not co-vary, was explored by spearman correlations between the different computerized tests.
The interpretation of the diagnostic test results should be conducted cautiously, particularly if it is performed to assess an agreement between tests using samples from different populations.
Statistical comparisons of data were made between cartilage test samples from different regions within the knee joint.
It is intended that the adoption of these protocols will enable more effective and direct comparisons of test results and more confident interpretation with respect to the similarities and differences between test results generated from different species and field sites.
When carrying out a likelihood ratio test for the difference between estimates from different models, minus twice the difference in log likelihood is contrasted to a value of the χ2 distribution corresponding to the number of parameters tested and an error probability γ.
In our data, we did not find any correlation between measures from different tests.
The correlation between results from different tests was calculated using the Kendall rank correlation coefficient (or Kendall's tau coefficient) computed with R software (R Development Core Team, 2010, R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org/).org/
To examine whether the divergent lineages revealed by the ITS sequences represented potentially reproductively isolated cryptic species, we tested for congruence between genealogies from different loci using the partition homogeneity test and the topology-dependent permutation test.
In Atta texana and in A. cephalotes, we resampled nests over a 5-year period to test for persistence of resident cultivar genotypes within each nest, and we tested for genetic differences between fungi from different nest sectors accessed through excavation.
