iv
independent variable
the variable directly manipulated by the researcher (can have levels)
dv
dependent variables
the variable being measured in a study
operationalised
making the variables in an investigation detailed and specific
why is operationalisation important
so other researchers know and they are testable
extraneous variable
a variable that is not controlled and can thereby affect results of the study
confounding variable
an extraneous variable that damages the results of the study
Situational variables
an extraneous variable present in the environment of the study
demand characteristics
when participants change their behaviour to meet the perceived aims of the study
example of situational variable
noise
distractions
temp
order effects
when participants improve or worsen in the second condition because they have practiced or become fatigued
investigator effects
when a researcher unintentionally gives participants clues on how to behave
participant variables
extraneous variables specific to participants
examples of participant variables
mood
ability
personality
standardised procedure
where the procedure of the study is kept the same in all conditions
counterbalancing
where half of the participant
group experience condition A then condition B, while the other half experience condition B then condition A
randomisation
when participants are randomly allocated to either condition A or B first or second
what does counterbalancing and randomisation control
order effects
single-blind technique
when info about the study is withheld from participants
double-blind
when the aims are withheld from both participants and researchers
what does single-blind and double-blind control
demand characteristics
random allocation
when participants are randomly assigned to a condition of the study
what does random allocation control
participant variables by ensuring that participant variables are distributed across conditions of the study
hypotheses
statements of predicted outcomes based on the theory being tested
null hypothesis
a prediction that the results will fail to show any difference (or relationship) that is consistent or systematic