An equal-level approach that yields new information
for the evaluation of multitrait-multimethod
(MTMM) matrices is described. The procedure is
based on the analysis of item-composite relations,
composite-composite relations, composites, and
facets. A main characteristic of the equal-level
approach is the induction of equality in data-level
prior to carrying out comparisons between coefficients,
because in many cases such inequalities may
lead to inaccurate conclusions. Methods are proposed
for ensuring comparability of coefficients even if
an MTMM design includes different numbers of
items for traits and methods. The concept of disaggregation
is assigned a key position in the investigation
of convergent and discriminant validity. In
addition, measures are proposed for avoiding other
distortions resulting from partial self-correlations.
Index terms: disaggregated correlations, equal-level
approach, multitrait-multimethod analysis, partial
self-correlations, Spearman-Brown formula.
Schweizer, Karl. (1991). An equal-level approach to the investigation of multitrait-multimethod matrices. Applied Psychological Measurement, 15, 307-317. doi:10.1177/014662169101500311
An equal-level approach to the investigation of multitrait-multimethod matrices.
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