Randomised block experimental group allocation based on multiple measures

Authors: Callaway, A.

This software optimizes group allocation using randomised block design, based on pre-test data across multiple measures. It reads a list of participants with pre-test scores in multiple measures and then allocates the participants to the best participant combination offering groups of the best equal weighting and least statistically significant group allocation. Outputs are ANOVA results across each measure, and participants allocated group. A typical use would be a non-equivalent control-group design where random allocation is not possible.

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