How is counterbalancing an important strategy in experiment

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Assignment:

1.. Principle 18 says: "All scientifically meaningful interaction affects expected to reach statistical significance should be hypothesized a priori along with their direction, based on the presence of a theoretical or clinical rationale." (Note, "a priori" means "beforehand".) Explain why predicting effects beforehand is critical to all experiments. (Hint: what might happen if you did not predict any interactions, but found some.)

2. When and how is counterbalancing an important strategy in an experiment? What important threat to validity does counterbalancing counteract?

3.. When should you use repeated measures (within-subject) designs? Why are they preferred to between-subjects designs whenever possible? When should you NOT use within-subjects designs. (Callie Holte).

Reference no: EM133376492

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