Research Methods Flashcards
(59 cards)
What are independent groups?
When participants are split into (2 or more)
groups. Each group is exposed to a
different level of the IV
3 Strengths of
independent groups
-less chance of demand characteristics (figuring out experiment/acting on cues) -Same materials/tests can be used -No order effects as they're doing less then RM would do so there's less confusion, boredom etc
2 weaknesses of
independent groups
- Researcher would need to recruit more
participants then they would have to if
they used repeated measures - Participant variables may affect results
(if certain characteristics all end up in
one group eg dyslexia, ADHD
Matched pairs
When participants are matched by
certain characteristics in a pair, then split
up
4 Strengths of matched pairs
- fewer participant variables
- No order effects
- Low risk of demand characteristics
- Same materials tests can be used
4 weaknesses of matched pairs
- Difficult and time consuming to match up characteristics - More participants required than other designs - If one participant withdraws the whole pair is lost - Participants can't be matched on every variable so there are some participant variables
Repeated measures
All participants are exposed to all the
levels of the IV
2 strengths of
repeated measures
-Need fewer participants than you would
need for other designs
- No participant variables
3 weaknesses of
repeated measures
- More chance of demand characteristics
- Order effects like fatigue, boredom
- Different materials/tests may be
needed for each condition
Random allocation
Participants are randomly split up.
Reduces bias
Counterbalance
Half of the participants do condition B then condition A. The other half do condition A then confusion B. Does random order so gets rid of researcher bias
IV
The variable that changes
DV
The variable that the IV has an effect on
Directional (one-
tailed) hypothesis
When you can predict the outcome of
the experiment and there’s previous
research
Non-directional(two-
tailed) hypothesis
The outcome can go either way and
there’s no previous research
Extraneous variable
Any other variable other than the IV that
could affect the DV
Situational variable
Concerns about the surrounding
environment
Participant variables
Factors that are linked to the people
undertaking a study. Examples include
ages and gender
demand characteristics
The people in the study acting on cues
or looking for clues that might influence
how they behave
Investigator bias
When a researcher acts in a way to
support their prediction
confounding variable
A type of extraneous variable
laboratory experiment
Carried out in a controlled environment
Field experiment
Carried out in a natural environment
natural experiment
Carried out in a natural environment
artificial place