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A Latin square design is an efficient partial counterbalancing technique utilized when complete counterbalancing is impractical due to a high number of experimental conditions. It randomizes the presentation sequence by using a matrix with equal rows and columns, functioning similarly to a Sudoku puzzle. In this design, each condition appears exactly once in every ordinal position, and each condition precedes and follows every other condition exactly one time, significantly reducing the number of required condition orders.

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