1/15
How you are structuring an experiment
Name | Mastery | Learn | Test | Matching | Spaced | Call with Kai | Chat |
|---|
No analytics yet
Send a link to your students to track their progress
Control group
The independent variable is absent so there is no manipulation in the condition to get a baseline reading.
Experimental group
Manipulation of the independent variable to see how it affects the dependent variable.
What are the 3 types of research designs
Independent group design, repeated measures design and matched pairs design
Independent group design
Recruit participants, divide them into 2 separate groups and each group will sit a condition, measure the dependent variable for each group.
Pros of independent group design
Easy to run- can be used in many scenarios
Less time needed than repeated measures
No problem with the order or practice effect
Cons of independent group design
Individual differences- random allocation can reduce
Large sample needed- expensive
Random allocation
Participants are randomly allocated to the different conditions which hopefully balances the groups
Repeated measures
All participants do all conditions
Pros of repeated measures
No risk of individual differences impacting the results of the study
Less participants needed
Cons of repeated measures
Can experience demand characteristics- more opportunities to guess the purpose of the study
Order effect- performance can be affected due to tiredness, boredom or practice
How to overcome cons of repeated measures
Counterbalancing
Counterbalancing
Advanced form of repeated measures- half of the participants perform condition A first while the other half perform condition B first. This equally SPREADS the order effect
Matched pairs design
Participants are matched by a specific characteristics, they then will sit seperate conditions- it is the gold standard out of three
Matched pairs- pre-test
Participants must be matched by a pre- test
Pros of matched pairs
No order effect
Reduced risk of individual differences
Cons of matched pairs
Lots of participants needed to begin with- time consuming and expensive
Difficult to ensure pairs are matched adequately
Can’t control all individual difference