The extraneous variable is any variable other than the independent variable that can affect the dependent variable if it is not controlled.
The confounding variable is a type of extraneous variable that was not controlled. This means we canāt tell if any change in the dependent variable is due to the independent variable or the confounding data.
Extraneous variables include:
Situational variables
Participant variables
Experimenter bias
Demand characteristics
Order effects
Participant variables are individual differences between participants e.g. age, intelligence, mood etc.
Situational variables are factors in the environment that can affect participantsā behaviour e.g. noise, lighting, temperature etc.
Experimenter variables (investigator effects) are behaviours or characteristics of the researcher that might influence participants e.g. body language, tone of voice etc.
Demand characteristics are cues in the experimental situation that reveal the aim of the study to participants, potentially affecting their behaviour.
Order effects occur in repeated measures designs and they arise from the order in which participants experience conditions e.g. fatigue, boredom or practice effects.
Methods to control for extraneous variables:
Randomisation
Standardisation
Counterbalancing
Blinding
Randomisation is the use of chance to reduce the researcherās influence on the design of the study e.g. randomly allocating the participants to conditions or randomising the order of tasks.
Standardisation is ensuring all participants have the same procedures and instructions. This reduces the influence of situational variables.