evaluates how closely your measure's results align
with those from existing, valid measures
Concurrent Validity
distinguishing
participants
appropriately
e.g. if assessing a new
measure of depression,
participants should be
separated into two
groups: depressives
and non-depressives
Predictive Validity
measure's ability to
predict future
outcomes
e.g. reading scores at
7yo's predictive power
of academic
performance at 17
Content Validity
all aspects of the construct are being assessed
e.g. if construct pertains to personality, does the measure
assess the 5 main traits? (OCEAN)
Face Validity
the measure's content seems suitable
e.g. does a test with math questions appear to be a
relevant measure of arithmetic ability?
Discriminant (Divergent) Validity
shows two measures that are not supposed to be
related are in fact, unrelated
correlation coefficient can be used to prove dissociation
Convergent Validity
two similar measures of the construct are significantly
correlated (r= >.5, ideally >.7)
e.g. studying exam anxiety (construct) via a survey and participant
observation. Convergence or correlation of scores shows both are
measuring the same construct