Variability among years was high for most metrics (coefficients of variation, CVs ranging from 16% to 246% in spring) but lower for indices (CVs of 22 26% for the IBI and 21 32% for O/E scores in spring), which resulted in inconsistent assessments of biological condition.
On most metrics, from percentage of Protestants to education spending per child, the state is very close to the national average.
One reason might be that, for most metrics, the range of expected values, i.e., reference values are not known.
Entering the variance components in statistical power equations showed that for most metrics, a total of 80 100 subjects will be required to detect a 20% difference between two groups with sufficient power, while this difference can typically be detected in repeated-measures (paired) designs using 25 subjects.
These inaccuracies were small compared to the precision of the measurements, which implies that most metrics provided unbiased estimates of refractive state for medium and large pupils.
Regarding the IOM domains, most metrics evaluated the effectiveness of care (n = 94; 52 %).
Differences between species for most metrics at the time of planting carried through to Year 3. The best performing species across most metrics was alder, followed by blackwood, cherry, and cypress.
Visual and quantitative differences among species for most metrics at the time of planting carried through to Year 3. At both 2 and 3 years from planting, the best performing species across most metrics was alder, followed by blackwood, cherry, and cypress (Tables 2, 3, 4 & 5, Figs. 3, 4, 5, 6 & 7).
Additionally, the standard deviation of most metrics increases moderately through time (on the time scale we tested; standard deviations should diminish once new equilibrium is reached).
