Experimental Design Flashcards
Acronym for remebering experimental design:
I Get Really Mad Matching Penguins
IG - Independent groups
RM - Repeated Measures
MP - Matched Pairs
What are the three main experimental designs?
- Repeated measures
- Independent groups
- Matched pairs
What is an indepdent group?
One group does condition A and second group do condition B
Partipants are randomly allocated to different groups which represent different conditions
Each group only does one of the condition of the IV
Strength of independent groups
- No order effects: Particpant only tested once so can’t practice or become bored -control important CV
- Will not guess aim: Particpants only tested once so unlikely to guess the research aims thereofe behaviour is more natural
Weakness of indepdent groups
- Particpant variables: The particpants in two groups are different actinf EV/CV so reduce validity of study
- More particpants: Need twice as many particpants as repeated measures for same data as spent more time recuting is expensive
What is repeated measures design?
Same particpants used in both/all condtions
The order of conditions should be counterbalanced to avoid order effects
Strength of repeated measure design:
- Particpant variables: Person both conditions has same characteristic so controls important CV
- Fewer particpants: Half of the number of particpants needed in indepdent groups as less time recuiting participants
Weakness of repeated measure group:
- Order effects are a problem: Particpants may do better or worse doing similar task twice
- Reduce validity of results
- Partipants may guess aims : Particpants may change their behaviour so reduce validity of results
What is matched pairs?
Pais of particpants are closely matched and then randomly allocated to one of the experimental condtions
Strengths of matched pairs
- Particpant variables: They are matched on variable relevent so enhances validity of results
- No order effects: Particpants only tested once so no practice or fatigue as enhances validity of results
Weakness of matched pairs
- Matching is not perfect : It is time-consuming so can’t control all relevent variables so not address particpant variables
- More particpants: Need twice as many particpants as repeated measure for same data, more time recuiting which is expensive