Confirmatory factor analyses of multitrait-multimethod data: A comparison of alternative models
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Confirmatory factor analyses of multitrait-multimethod data: A comparison of alternative models
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1991
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Abstract
Alternative models for confirmatory factor
analysis of multitrait-multimethod (MTMM) data
were evaluated by varying the number of traits
and methods and sample size for 255 MTMM
matrices constructed from real data (Study 1), and
for 180 MTMM matrices constructed from simulated
data (Study 2). The correlated uniqueness model
converged to proper solutions for 99% (Study 1)
and 96% (Study 2) of the MTMM matrices, whereas
the general model typically used converged to
proper solutions for only 24% (Study 1) and 22%
(Study 2) of the MTMM matrices. The general
model was usually ill-defined (100% in Study 1,
90% in Study 2) for small MTMM matrices with
small Ns, but performed better when the size of
the MTMM matrix and N were larger. Even when
both models converged to proper solutions,
however, parameter estimates for the correlated
uniqueness model were more accurate and precise
in relation to known population parameters in
Study 2. Index terms: confirmatory factor analysis,
construct validity, discriminant validity, LISREL,
method effects, multitrait-multimethod analysis,
underidentified models.
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Previously Published Citation
Marsh, Herbert W & Bailey, Michael. (1991). Confirmatory factor analyses of multitrait-multimethod data: A comparison of alternative models. Applied Psychological Measurement, 15, 47-70. doi:10.1177/014662169101500106
Suggested citation
Marsh, Herbert W.; Bailey, Michael. (1991). Confirmatory factor analyses of multitrait-multimethod data: A comparison of alternative models. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/114077.
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