A Research Example All of these are reasons for keeping factorial designs simple except
A) complex designs must be analyzed using more sophisticated statistics.
B) higher-order interactions are very difficult to explain.
C) more factors mean more time is needed to run an experiment.
D) researchers must control more extraneous variables as designs become more complex.
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