Between-Subjects Design means the independent variable is split up between participants.

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Multiple Choice

Between-Subjects Design means the independent variable is split up between participants.

Explanation:
Between-subjects designs split the independent variable across participants, so each person is exposed to only one level of the IV. This lets you compare groups that were formed for different conditions while keeping each participant in a single condition, which helps control for individual differences when you randomize or match groups. For example, if you’re comparing two teaching methods, you would randomly assign students to method A or method B and then compare outcomes between the two groups. This is different from designs where every participant experiences all levels of the IV, such as within-subjects or repeated-measures designs. Cross-over designs are typically within-subjects as well, with participants switching between treatments in sequence.

Between-subjects designs split the independent variable across participants, so each person is exposed to only one level of the IV. This lets you compare groups that were formed for different conditions while keeping each participant in a single condition, which helps control for individual differences when you randomize or match groups.

For example, if you’re comparing two teaching methods, you would randomly assign students to method A or method B and then compare outcomes between the two groups. This is different from designs where every participant experiences all levels of the IV, such as within-subjects or repeated-measures designs. Cross-over designs are typically within-subjects as well, with participants switching between treatments in sequence.

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