Latin Square refers to an N x N matrix where each of N different items appears exactly once in each column and exactly once in each row. Latin square is used to identify sequences of treatment conditions for partial counterbalancing. Moreover, Latin Square is a type of counterbalancing that ensures that each level of the independent variable appears in every ordered position equally often.

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Partial counterbalancing at psychology-glossary.com■■■■■■
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