Data analysis and reporting are complex issues to confront and require awareness of the limitations and specific characteristics of the datasets being used. Careful treatment of data in analysis and reporting can result in powerful and clear support for conclusions but improper analysis and reporting can give the impression of supporting false results. This collection is intended to help users limit the possibility for accidental irresponsible analysis and reporting of data and will be updated and expanded as tools are developed.
The optimal error rate calculator is a tool to help calculate the optimal rate of type I errors (incorrectly rejecting the null hypothesis) to minimize the overall rate of both type I and type II (incorrectly failing to reject the null hypothesis) errors for various t-tests.
The sampling sufficiency calculator is a tool for analyzing a dataset from a user’s DIMA to help determine if there are enough data to meet sampling sufficiency for the level of variability in the dataset.
The simple Horwitz-Thompson indicator estimator is a tool for producing quick estimates of indicators either by an entire study area or by stratum within a study area from a CSV file exported from a user’s DIMA. It is not intended to serve as a final analysis tool.
MSSRET is a general tool for assisting managers and researchers in determining sampling sufficiencies required to meet their project objectives.