Control of variables Flashcards
Independent Variable
The variable that is changed/manipulated by the researcher (cause)
Dependent Variable
The variable which is measured by the researcher (effect)
Extraneous Variable
Any variable, other than the IV, that may have an effect on the DV if it is not controlled.
Essentially ‘nuisance variables’ that do not vary systematically with the IV
Confounding Variable
Any variable, other than the IV, that may have affected the DV so we cannot be sure of the true source of changes to the DV.
Confounding variables vary systematically with the IV
Demand Characteristics
Any cue from the researcher/situation that may be interpreted by PPs as revealing the purpose of the investigation
May lead to PPs changing their behaviour within the research investigation
Investigator Effects
Any effect of the investigator’s behaviour (conscious/unconscious) on the research outcome (DV)
Randomisation
The use of chance in order to control for the effects of bias when designing materials and deciding the order of conditions.
- Largely to control investigator effects
Random allocation
Can also be used where if PPs only take part in one condition then they are assigned to the condition they will take part in
- Can help to control participant variables
Standardisation
Using the exact same formalised procedures and instructions for all participants in a research study
- Helps to control situational extraneous variables
Counterbalancing
An attempt to control for order effects when participants take part in more than one condition. Counterbalancing involves half the participants taking part in condition A then B, and the others vice versa.
Avoids boredom or practice, impacting results positively
Single-blind procedures
Where the participant is not told the aim of the research or any other detail. This is an attempt to control for the confounding effects of demand characteristics
Double-blind procedures
Where neither the participant nor the researcher who conducts the study is aware of the aims. Often used to minimise the confounding effects of both demand characteristics and investigator effects