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A limitation of a single-factor multiple group design is that


A) the mean differences between the groups become smaller as more groups are used.
B) it is simple to interpret.
C) it increases the chances of demonstrating a significant mean difference.
D) it may not provide a complete picture of the relationship between the variables.

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Randomizing a variable across treatments guarantees that the variable cannot become a confounding variable.

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In a between-subjects design,large individual differences can lead to


A) large variance within treatments.
B) small variance within treatments.
C) several independent variables.
D) several dependent variables.

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Which of the following is NOT a method for trying to prevent a participant characteristic (such as age or gender) from becoming a confounding variable in a between-subjects experiment?


A) Hold the participant characteristic constant.
B) Randomly assign participants to treatment conditions.
C) Randomly select the participants from the population.
D) Match the groups with respect to the participant characteristic.

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Create an example of a between-subjects experiment.Identify the independent and dependent variables and briefly describe the experiment.Indicate the number of levels of the independent variable and identify them.

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Student answers will vary but should all...

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An advantage of holding a variable constant rather than using random assignment to form your groups is that


A) holding a variable constant reduces error due to participant differences.
B) holding a variable constant is easier than randomization.
C) holding a variable constant guarantees that there is no systematic relationship between participant characteristics and the treatment conditions.
D) holding a variable constant ensures a nonbiased sample.

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Describe the advantages and disadvantages of holding a participant characteristic constant in a between-subjects experiment.

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The advantage of holding a variable cons...

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