refers to the design of the research and whether it is measuring what it thinks it is measuring
whether the effects observed in a study are due to the manipulation of the independent variable and not some other factor. (there is a causal relationship between the independent and dependent variable)( e.g. extraneous variables, demand characteristics, order effect)
types:
face validity
content validity
external validity
refers to how 'true' a picture the findings are giving
3 types:
ecological validity
population validity
temporal validity
ecological validity
the findings reflect real life.
if it lacks ecological validity, it is usually because it has been carried out in a lab (artificial environment), not reflecting real life behaviour/situations)
to ensure ecological validity, carry your research out in a real life setting (not a lab)
population validity
refers to who is being studied
if the sample is representative, study will have greater population validity
temporal validity
refers to the time when a study was carried out
if it was a long time ago then things may have changed
face validity
refers to using a common sense way of measuring something
it can also involve asking people if they think it is a good way of measuring something, and that is an accurate measure
content validity
refers to an expert checking the research design and checking it is measuring what it intends
affecting validity
demand characteristics
extraneous and confounding variables
order effect (fix by counterbalancing)
double blind technique (improves validity)
concurrent validity
refers to how a newly designed test compares with an established test.
if results are similar them it has concurrent validity (can check for the positive correlation)
predictive validity
refers to whether a newly designed test, accurately predicts results in the future