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- Title
Can Statistical Analyses Account for the Effect of Interrelatedness in Assessments Using Multiple Environmental Parameters?
- Authors
Somers, Keith M; Kilgour, Bruce W; Munkittrick, Kelly R
- Abstract
Two Canadian federal monitoring programs use data on multiple indicators (or metrics) to evaluate aquatic habitat condition. The EEM assessment uses a univariate approach to determine statistically significant differences between and among reference- and exposure-site means for 9 metrics, one at a time. In MANOVA, all metrics are evaluated simultaneously, resolving the multiple-comparison, false-positive issue using a single test. Correlations among metrics are also incorporated into MANOVA, so that the issue of double-counting redundant metrics is addressed.
- Subjects
STATISTICS; CANONICAL correlation (Statistics); FALSE positive error
- Publication
Integrated Environmental Assessment & Management, 2019, Vol 15, Issue 4, p662
- ISSN
1551-3777
- Publication type
Article
- DOI
10.1002/ieam.4166