Another name for Split-Block Design is Strip-Plot Design . This design is suitable for a two-factor experiment where the accuracy of the interaction effect between factors is prioritized compared to the other two influences, the independent influence of factor A and factor B. This design is similar to Split Plot Design , only in split-blocks, treatment subunits placed in a line perpendicular to the main plot treatment. In split-blocks, the first factor is randomly assigned to the vertical line, while the second factor is randomly assigned to the horizontal line. Each path gets one treatment of factor A and one treatment of factor B.
This sample article on strip-plot (split-block) design analysis is a continuation of the article Strip Plot Design . For example, the data to be analyzed is the same as the example in Split Plot Design , namely the effect of the combination of fertilizer and rice genotype on rice yields, but designed using a strip-plot/split-block design. Combination of NPK fertilizer (vertical factor, A) and rice genotype (horizontal factor, B). The following are the steps for calculating the analysis of variance followed by post hoc: Fisher LSD.
Analyse data using SmartstatXL Add-In: How to Analyze Strip Plot (Split Block) Experiments