Subsequently, we explicate our data, the operationalization of the variables used in the multivariate analyses, and the statistical procedure.
The main aim of this study was to assess the river health of Ngamo River using diatom and macroinvertebrate community structure based on multivariate analyses and community metrics.
Our synthesis within and across diverse taxonomic orders reveals substantial research coverage but a lack of depth in multivariate analyses and a disparity in how correlates are controlled.
Large volume of quality-checked and quality-assured data generated by multielement surveys are integrated and interpreted by statistical, univariate, and multivariate analyses and modeling methods.
Multivariate analyses and complementarity-based reserve selection algorithms were used as tools for delimiting representative conservation areas in KwaZulu-Natal, South Africa, based on environmental variables and records for 566 breeding and non-breeding birds.
The chapter begins with a discussion of the purposes of multivariate analyses and describe research situations found in the behavioral science literature that call for the use of a MANOVA or a MANCOVA.
We next considered that False Discovery Rate statistical analysis provided the best method to set thresholds for significance of elevated or reduced gene expression [43], but additional multivariate analyses and gene set enrichment would add further value to the analysis.
Multivariate analyses and power calculations were performed.
TFB contributed with multivariate analyses and discussions.
Uni- and multivariate analyses and survival figures were plotted using SPSS for Windows version 11.5.
All variables were incorporated into the multivariate analyses and considered as confounders.
