A multidimensionality-based differential item functioning (DIF) analys
is paradigm is presented that unifies the substantive and statistical
DIF analysis approaches by linking both to a theoretically sound and m
athematically rigorous multidimensional conceptualization of DIF. This
paradigm has the potential (1) to improve understanding of the causes
of DIF by formulating and testing substantive dimensionality-based DI
F hypotheses; (2) to reduce Type 1 error through a better understandin
g of the possible multidimensionality of an appropriate matching crite
rion; and (3) to increase power through the testing of bundles of item
s measuring similar dimensions. Using this approach, DIF analysis is s
hown to have the potential for greater integration in the overall test
development process.