Repeated measures Flashcards
Repeated measures design
When all subjects are tested on all conditions
Complete design
When subjects are tested on the conditions more than once
Incomplete design
When subjects are tested on the conditions once
Reasons to use repeated measures
-Good when you have few participants
-Effectivity
-Increased sensitivity for the experiment
-Study difference in in participants over time
Sensitivity
An experiment has high sensitivity if you can discover the effect of the independent variable even if the effect is small.
Practice effect
Changes over time in an experiment because of, for example, the subject getting better at the test over time, they get more relaxed over time, more tired, less motivated…
What balancing methods are used for incomplete designs?
All possible orders (4 or fewer conditions)
Selected orders (5 or more)
What balancing methods are used for complete designs?
Block randomization (if it’s likely there will be anticipation problems)
ABBA counterbalancing (if it isn’t likely)
ABBA counterbalancing
Used when conditions are presented few times per participant. You use a random sequence for example DACB, then BCAD, repeat with new sequence.
All possible orders
Used in incomplete design when the amount of conditions is four or less.
Latin square
Randomize first sequence, then move every condition +1
Random start order with rotation
Used in incomplete design, randomize first sequence and then rotate.
Differential transfer
When the effect of a condition persists and affects the following conditions - for any condition
Solution for differential transfer
-Use independent group design by only looking at the first condition for each subject.
How can you tell if there is differential transfer?
By taking the mean of the entire result and comparing it to an independent group design (the first of the conditions)