Exam 10: Using Between-Subjects and Within-Subjects Experimental Designs

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In a matched-groups design, if the matched characteristic does not have much effect on the dependent variable under the conditions of the study, then it results in:

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All other things being equal, compared to the between-subjects design, the within-subjects design is:

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An advantage of a factorial design is that you can identify:

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The confounding effects of poorly conceived and executed independent variables can be eliminated through a random assignment of subjects to conditions.

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When complete counterbalancing cannot be done economically, a partially counterbalanced design can be used instead.

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Within-subjects designs cope with the problem of error variance by:

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Dr. Jones conducts a randomized two-group experiment on the effect of a drug on learning. She finds that subjects who receive the drug score more poorly on a memory test than those who do not receive the drug. Which of the following would Dr. Jones be justified in concluding?

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Making treatment order an independent variable allows you to evaluate the impact of carryover effects on your results.

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The matched equivalent of a randomized two-group design is the:

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All other things being equal, the between-subjects design is more powerful than an equivalent within-subjects design.

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A key assumption behind partial counterbalancing in a within-subjects experiment is that:

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The presence of a confounding variable improves the internal validity of an experiment, which helps in establishing a causal relationship between an independent variable and a dependent variable.

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You are interested in studying how airline pilots react in emergency situations. To preserve external validity, you want to use real airline captains. In this case, a within-subjects design would be most desirable because:

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Carryover effects due to fatigue can be reduced by giving a rest period between treatment conditions.

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Counterbalancing eliminates carryover effects.

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Error variance is eliminated in within-subjects designs.

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In the context of types of experimental designs, each treatment is administered to a different group of subjects in a _____.

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If an interaction between independent variables is present, then there can be no main effects of those independent variables.

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The main advantage of conducting an experiment using a factorial design is that it allows one to separately assess the effect of each independent variable on a dependent variable.

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_____ provides every possible ordering of treatments and assigns at least one subject to each ordering.

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