D. E. Runde

Statistical Power in Analyses of Population Trend Data

Non-game Wildlife Outstanding Technical Paper

We developed a Monte Carlo simulation approach to examine statistical power in analysis of population trend data. Our stepwise approach was to perform a regression analysis to test the null hypothesis that the slope of the time series regression line was equal to 0 (i.e., Ho:b = 0 for population count data collected over i years), to use Monte Carlo simulations to calculate the statistical power of the test of H0:b = 0 when Ho was not rejected, and to estimate sample size requirements within and across years to detect a population trend at a specified power, Type I error, and coefficient...

Year
1996