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In a single factor between subjects design, there is a single source of explained variance (i.e., the variance attributed to the effect of Factor A)

In a single factor between subjects design, there is a single source of explained variance (i.e., the variance attributed to the effect of Factor A) and a single source of unexplained variance (i.e., the residual/error variance). What changes when you add a second factor (Factor B) into the mix?

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