Procedures for analyzing multitrait-multimethod
(MTMM) matrices are reviewed. Confirmatory factor
analysis (Jöreskog, 1974) is presented as a general
model allowing evaluation of the discriminant and
convergent validity of MTMM matrices, both as a
whole and in individual trait-method units. However,
it is noted that this model is deficient with regard to
analysis of trait-method interactions of the type described
by Campbell and O’Connell (1967, 1982).
Composite direct product models described by Browne
(1984) are one possible solution to this problem. Further,
more systematic use of hypothesis testing regarding
convergent and discriminant validity in nested hierarchical
models is recommended (Widaman, 1985),
as well as the use of a procedure to cross-validate
models of MTMM matrices described by Cudeck and
Schmitt, Neal & Stults, Daniel M. (1986). Methodology review: Analysis of multitrait-multimethod matrices. Applied Psychological Measurement, 10, 1-22. doi:10.1177/014662168601000101
Schmitt, Neal; Stults, Daniel M..
Methodology review: Analysis of multitrait-multimethod matrices.
Retrieved from the University of Minnesota Digital Conservancy,
Content distributed via the University of Minnesota's Digital Conservancy may be subject to additional license and use restrictions applied by the depositor.