A Quasi experiment allows you to be able to predict and explain results. True or False?
Answer: False.
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Principles of Experimental Design
- How do you solve the problem of 'order effects' in a within-subjects design?
- If an extraneous variable is causing differences between groups, what would this be called?
- What could cause a third unknown factor influencing you're results?
- Which type of experiment does not allow you to explain the results?
- Which type of experiment allows you to explain and predict you're results?
- What is counterbalancing?
- What is a practice effect?
- What is an 'order effect'?
- How is a within-subjects design a solution to the problem of increase in error variance/extraneous subject variables?
- Why is it that between subjects design may have an increase in error variance?
- What is the difficulty when it comes to an increase in error variance in between-subjects design?
- What does participant variability lead to in between subjects design?
- What is a way in stopping the 'order effect' within a within-subjects design?
- What is a problem with a within-subject design?
- What is the benefit of a within-subjects design?
- What is a within-subjects design?
- Does random assignment and matching eliminate confounding variables?
- What could be a problem in making subject variables a control variable?
- What is another way to control for extraneous subject variables that have potential to become confounds?
- What is a confounding variable?
- What is matching?
- What is another way to prevent extraneous subject variables becoming confounds?
- How do you control for subject variables that may become a confound?
- How might subject variables (height, gender, age, weight) in a between subjects design become a confound?
- What is a between subjects design?