LECTURE 5 Flashcards
What are confounding variables? .
Extraneous variables that influence the results of a study
What are examples of confounding variables?
Participant characteristics, situational variables, and expectancy effects.
What are expectancy effects?
When participants’ expectations unconsciously affect the study’s outcome.
How can confounding variables be minimized in between-subjects designs?
By ensuring constancy across groups.
What are three methods of participant allocation in between-subjects designs?
Natural groups, matched groups, and random allocation.
What is a natural group design?
Using pre-existing groups, like smokers vs. non-smokers, but it doesn’t control for confounding variables.
What is a matched group design?
Matching participants based on certain characteristics, like age, to minimize confounds
What is random allocation design?
Randomly assigning participants to groups to balance extraneous variables.
What is a within-subjects design?
The same participants experience all conditions of the experiment.
What is counterbalancing?
A method to control order effects in within-subjects designs by varying the order of conditions.
What are order effects?
Changes in participants’ performance due to the sequence of conditions, such as practice or fatigue.
What is a complete within-subjects design?
Participants experience all conditions multiple times, with varied order within participants.
What is an incomplete within-subjects design?
Participants experience each condition only once, with order varied between participants.
What is the Latin Square design?
A counterbalancing method ensuring each condition occurs in each position exactly once.
What is block randomization?
Randomizing the order of conditions multiple times for each participant.