Control in repeated measures Flashcards
Order effects
Only likely in repeated measures designs as the same participants are used in each condition
Occur when participants experience practice (learning effect) or tiredness (fatigue effect)
Which can affect their performance in the second condition, making the results invalid
Overcoming order effects 1
Counterbalancing
Strategy to overcome which involves participants being divided into 2 groups
First group experiences condition A followed by condition B
2nd group experience the conditions in reverse order: condition B followed by condition A
Order effects not removed but balanced between the 2 conditions
Overcoming order effects 2
Randomisation
Participants are randomly assigned to experience:
Condition A followed by condition B or,
Condition B followed by condition A
Can occur by flipping a coin or drawing names from a hat
Order effects not removed but balanced between 2 conditions
Control
Achieved when all variables (other than IV) are held constant
In particular, psychologists should control against:
Extraneous variables - uncontrolled variables that could affect the DV in a random way
Confounding variables - uncontrolled variables that could affect the DV in a systematic way
Control achieved through 1
Random allocations of participants
When participants are randomly allocated, groups are likely to be unbiased as everyone has an equal chance of being allocated to each condition
E.g. it ensures that one group is not more intelligent than the other by giving everyone an equal chance of appearing in each condition
Control is achieved through 2
Standardisation
Means that all participants have the same experience, so that any variation in the DV is not caused by variation between participants or conditions
1 key way to achieve standardisation is by using standardised instructions, which allow the experimenter to behave in the same way with all participants
Demand characteristics
When the participants perceive the demands of the study and act accordingly, lowering internal validity of research due to a change in their natural behaviour
E.g. may guess demands of study and act positively, trying to please experimenter with ‘right’ answer
Minimising demand characteristics
Single blind technique
Where participants don’t know which condition they have been allocated to
They are then less likely to perceive the demands of the experiment (and cannot act in a particular way as a result)
Experimenter effects
Occur when some characteristic of the experimenter causes participants to behave unnaturally, lowering internal validity
E.g. participants may find the experimenter attractive or may take a dislike to them, causing them to behave differently
Minimising experimenter effects
Double-blind
When both the participants and experimenter don’t know the aims or conditions of the research
Researchers are then unable to influence the participants in any way
Person carrying out experiment will have some information about the procedure, but the amount of information given to them can be minimised by the psychologist leading the research
Pilot study
To check level of control in procedures, a small-scale pilot study can be run before carrying out the actual experiment
Can be used to check if the design works; if participants can easily understand the instructions; and if there are any sources of bias that require control
Participants can also provide their feedback about the instructions or any aspect of the procedure, so that changes can be made
In this way, it is possible to overcome these issues before the experiment takes place, increasing internal validity of research, saving time and money