This means clearlydescribing the variables (IV and DV) in terms of how they will be manipulated (IV) or measured (DV).
independent variables
The variable that the experimenter manipulates (changes).
dependent variable
The variable that is measured to tell you the outcome.
extraneous variable
Variables that if notcontrolled may affect the DV and provide a falseimpression that an IV has produced changes when it hasn’t.
confounding variable
An extraneousvariable that varies systematically with the IV so we cannot be sure of the truesource of the change to the DV
order effects
Order effects can occur in a repeatedmeasuresdesign and refers to how the positioning of tasksinfluences the outcome e.g. practice effect or boredom effect on second task. These can be controlled using counterbalancing (A way of trying to control for order effects in a repeated measures design, e.g. half the participants do condition A followed by B and the other half do B followed by A)
participantvariables
participants in onegroup may differ in a significant way from participants in anothergroup. This risk can be reduced via randomallocation (participants randomlyassigned to groups) or by matchedpairs (see experimental designs).
situational variables
factors in the environment that may affect the DV. These can be reduced by using a standardprocedure (see experiments).
investigatoreffects
These result from the effects of a researcher’sbehaviour and characteristics on an investigation. Can be controlled using double blind control (participants are nottold the true purpose of the research and the experimenter is also blind to at least someaspects of the research design
demandcharacteristics
Occur when participants try to makesense of the research situation they are in and try to guess the purpose of the research or try to presentthemselves in a good way. Can be reduced using Doubleblind control (see above) or Singleblind control (Participants are nottold the true purpose of the research).