Exam 11: Causal Inference and Experimental Designs

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Studies that assign subjects to intervention groups on the basis of their extreme scores are vulnerable to regression toward the mean.

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Whenever two variables are correlated,we may assume that one is the cause of the other.

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Explain the elements of the classical experimental design.Is this design especially useful in dealing with causal relationships? If yes,why? If not,why?

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Professor Rose was asked to design an experiment to test whether obese people would lose weight on a new diet plan.Professor Rose is not a methodologist.She asked for your help: You immediately told her that the selected design would have to be sensitive to the issues of statistical regression,diffusion or imitation of treatment,compensatory rivalry,and demoralization.Professor Rose said,"I don't understand." Explain these issues to her.

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The effectiveness of randomization in experimentation is affected by the number of participants involved.

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Suppose a new social casework program is offered to students with high levels of truancy.If those students placed in the program by their families have significantly less truancy after participating than the students who did not participate in the program,then we can conclude that:

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What differentiates experimental from pre-experimental designs? Give an illustration of a situation in which an experimental design would be preferred and one in which a pre-experimental design would be preferred.

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If we can establish that variable X comes before variable Q in time,then we can say:

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The classical experiment with random assignment of participants does NOT necessarily control for:

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