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Questions and Answers
What is a confounding variable?
What is a confounding variable?
- When an experimenter cannot distinguish the effects of different factors on a variable (correct)
- When a subject reacts favorably to a placebo
- When a subject is aware of the treatment being given
- When subjects are randomly assigned to treatment groups
What is the placebo effect?
What is the placebo effect?
- When a subject reacts favorably to a placebo when no medicated treatment has been given (correct)
- When an experimenter cannot distinguish the effects of different factors on a variable
- When a subject is aware of the treatment being given
- When subjects are randomly assigned to treatment groups
What is blinding in an experiment?
What is blinding in an experiment?
- When a subject is aware of the treatment being given
- A technique used to make the subjects unaware of which treatment or placebo they are being given (correct)
- When subjects are randomly assigned to treatment groups
- When an experimenter cannot distinguish the effects of different factors on a variable
What is a double-blind experiment?
What is a double-blind experiment?
What is a completely randomized design?
What is a completely randomized design?
What is a randomized block design?
What is a randomized block design?
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Study Notes
Experimental Design
- A confounding variable occurs when an experimenter cannot distinguish between the effects of different factors on a variable.
Placebo Effect and Blinding
- The placebo effect: a subject reacts favorably to a placebo when no medicated treatment has been given.
- Blinding: a technique that makes subjects unaware of the treatment (or placebo) they receive.
Types of Experiments
- Double-blind experiment: neither the experimenter nor the subjects know which treatment is being given.
Randomization Techniques
- Completely randomized design: assigns subjects to different treatment groups through random assignment.
- Randomized block design: ensures subjects with certain characteristics are assigned to each treatment.
Design Examples
- Randomized block design example: split subjects into groups according to gender or age, then randomly assign each group to different treatments.
Matched Pairs Design
- Pairs up subjects according to similarities.
- One subject in the pair receives one treatment, while the other receives a different treatment.
Experimental Basics
- Sample size: the number of participants in the experiment.
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