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This set of flashcards covers the key concepts related to between-subjects experimental designs, including definitions, advantages, disadvantages, and the importance of controlling individual differences.
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What is the primary goal of between-subjects design?
To demonstrate a cause-and-effect relationship between two variables.
What does a within-subjects design entail?
Different sets of scores are obtained from the same group of participants.
What are three primary techniques for limiting confounding by individual differences in between-subjects experiments?
Random assignment, matched assignment, and holding variables constant.
Why is individual differences considered a confounding variable in between-subjects designs?
Because groups should be as similar as possible except for the independent variable; differences can affect the outcome.
What is a disadvantage of between-subjects designs?
They require a relatively large number of participants.
How can differential attrition threaten internal validity in between-subjects designs?
If one group experiences significantly more dropout than another, it can create unequal groups.
What is the difference between a two-group design and a multiple-group design?
A two-group design compares two means while a multiple-group design compares means from three or more groups.
What is one advantage of using a between-subjects design?
Each individual's score is independent from all other scores.
What statistical technique is typically used to analyze a two-group mean difference?
Independent-measures t-test.
How can communication between groups be a threat to internal validity?
Participants may share information that could influence the outcomes, leading to confounding effects.