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1. Counterbalancing is a more effective way of balancing out routine order effects than randomization.
2. In a randomized, within-subjects design, all participants receive all levels of the independent variable and perform the dependent variable task more than once.
3. A randomized, within-subjects experiment will have tend to have more internal validity than a matched-pairs experiment.
4. Results from a randomized, within-subjects experiment can be analyzed using
5. Counterbalanced, within-subjects designs do not require any more participants than pure, within-subjects designs.
6. Trials effects are
7. In a counterbalanced design, if participants score significantly higher at the end of the experiment than they did at the beginning, there is a(n)
8. If students taking statistics before research methods get better grades in both courses than students taking research methods before statistics, we have a(n)
Treatment 1 Treatment 2
Group getting Treatment 1 then Treatment 2 10 12
Group getting Treatment 2 then Treatment 1 6 8
9. In the table above, there is a(n)

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