Independent variable
The factor the experimenter manipulates
Dependent variable
The factor the experimenter measures
Aim
What the researcher intends to find out/investigate
Null hypothesis
There will be no effect of one variable on another
Hypothesis
Testable statement about what the researcher will find
Alternative hypothesis
There will be an effect of one variable on another
Experimental method
Where/how the study is conducted
Directional hypothesis
Predict whether one variable causes an increase or decrease in another variable
Non-directional hypothesis
When a cause is predicted
Operationalisation
Turning abstract concepts into measurable observations
Extraneous variables
A general term for any variable, other than the IV, that might affect results (DV)
Laboratory experiment
An artificial and sterilised controlled environment
Field experiment
Any location outside of a laboratory (place where it would naturally occur)
Natural experiment
The researcher investigates an existing/naturally occurring IV and its effect in the DV
Quasi experiment
Investigate the effects of a naturally occurring IV (amongst people) which already exists e.g. gender
Mundane realism (ecological validity)
How much the study environment reflects the real-world environment
Internal validity
How controlled the environment is, if we can be certain only the IV has caused changes in the DV
Reliability
If the study can be repeated easily to test if others can find similar results
Experimental design
How you split participants into the experimental conditions
Independent measures
The sample is split into 2 groups , each group does 1 condition each
Repeated measures
1 group does both conditions
Matched pairs
Participants are matched on a similar trait e.g. IQ,Age They are then split into 2 conditions
Sampling method
How you enlist participants to take part in the study
Sample
Group of participants in a study