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control measures
random allocation, counterbalancing, randomisation and standardisation
extraneous variables
any variable other than the IV that may affect the DV and therefore the results. Essentially nuisance variables that do not vary systematically with the IV (random)
confounding variables
EVs that vary systematically with the IV so cannot tell if the change in DV is due to IV or CV (not random)
Types of extraneous variables
situational variables and participant variables
situational variables
variables connected with the research situation
e.g. temp, time of day, lighting etc
controlled using standardisation
participant variables
variables connected with the research participants
e.g. age, intelligence, gender etc
controlled through the experimental design or random allocation
random allocation
randomly allocating participants to their groups
decreases participant variables
counterbalancing
combats order effects
split the sample in half, with 1 completing the 2 conditions in one order and the other completing it in the reverse order. Order effects should be balanced out
randomisation
trials are presented in random order to control the effects of bias
standardisation
all situational variables are kept identical - easy to replicate
the same formalised procedures and instructions for all participants
demand characteristics
can act as a confounding variable
cue from the researcher or research situation that may be interpreted by participants as revealing the purpose of the study, maybe leading participants to change their behaviour
Please-U effect = purposely tries to support the hypothesis
Screw-U effect = deliberately goes against the hypothesis
controlled by single-blind experiments - only researcher knows the true aims
participant reactivity
investigator effects
researcher acts in a way to support their prediction (conscious or unconscious)
controlled using a double-blind experiment in which both the researcher and participants are not aware
leading questions