TrendPowerTool: A lookup tool for estimating the statistical power of a monitoring program to detect population trends
Links
- More information: Publisher Index Page (via DOI)
- Open Access Version: Publisher Index Page
- Download citation as: RIS | Dublin Core
Abstract
A simulation-based power analysis can be used to estimate the sample sizes needed for a successful monitoring program, but requires technical expertise and sometimes extensive computing resources. We developed a web-based lookup app, called TrendPowerTool (https://www.usgs.gov/apps/TrendPowerTool/), to provide guidance for ecological monitoring programs when resources are not available for a simulation-based power analysis. TrendPowerTool is implemented through the shiny package in R, but is accessible through a webpage without the need for users to install any software. By drawing on results of 1.4 million scenarios that we simulated on a supercomputer, TrendPowerTool quickly and easily provides an estimate of the statistical power to detect a population trend of a particular magnitude with a planned monitoring program, based on user-specified parameters for the monitoring design and population of interest. TrendPowerTool provides a user-friendly interface that retrieves results instantaneously, facilitating the important step of conducting a power analysis when designing monitoring programs.
Publication type | Article |
---|---|
Publication Subtype | Journal Article |
Title | TrendPowerTool: A lookup tool for estimating the statistical power of a monitoring program to detect population trends |
Series title | Conservation Science and Practice |
DOI | 10.1111/csp2.445 |
Volume | 3 |
Year Published | 2021 |
Language | English |
Publisher | Society for Conservation Biology |
Contributing office(s) | Upper Midwest Environmental Sciences Center |
Description | e445, 7 p. |
Google Analytic Metrics | Metrics page |