Resampling-based software for estimating optimal sample size

The SISSI program implements a novel approach for the estimation of the optimal sample size in experimental data collection. It provides a visual evaluation system of sample size determination, derived from a resampling-based procedure (namely, jackknife). The approach is based on intensive use of the sample data by systematically taking sub-samples of the original data set, and calculating mean and standard deviation for each of subsamples. This approach overcomes the typical limitations of conventional methods, requiring data-matching statistical assumptions. Visual, easyto- interpret provisions are supplied to display the variation of means and standard deviations as size of generated samples increases. An automatic option for identification of optimal sample size is given, targeted at the size for which the rate of change of means becomes negligible. Alternatively, a manual option can be applied. An ideal application of SISSI is in supporting the collection of plant and soil samples from field-grown crops, but it also holds potential for more general application. SISSI is developed inVisual Basic and runs under theWindows operating systems. The installation software package includes the executable files and a hypertext help file. SISSI is freely available for non-profit applications.