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Cited by 359

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A Multitrait-Multimethod Model with Minimal Assumptions

Eid, Michael·2000·Psychometrika

Abstract

A new model of confirmatory factor analysis (CFA) for multitrait-multimethod (MTMM) data sets is presented. It is shown that this model can be defined by only three assumptions in the framework of classical psychometric test theory (CTT). All other properties of the model, particularly the uncorrelatedness of the trait with the method factors are logical consequences of the definition of the model. In the model proposed there are as many trait factors as different traits considered, but the number of method factors is one fewer than the number of methods included in an MTMM study. The covariance structure implied by this model is derived, and it is shown that this model is identified even under conditions under which other CFA-MTMM models are not. The model is illustrated by two empirical applications. Furthermore, its advantages and limitations are discussed with respect to previously developed CFA models for MTMM data.

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Metadata

Authors
Eid, M.
Venue
Psychometrika
Published
2000-06
Volume
65
Issue
2
Pages
241-261
ISSN
  • 0033-3123 (ISSN-L)
  • 1860-0980
OpenAlex
W2059024952
Cited by
359
References
1
FWCI
7.61
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Multitrait-Multimethod Model with Minimal Assumptions. https://app.cochat.ai/papers/10.1007/bf02294377
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Eid, M. (2000). A Multitrait-Multimethod Model with Minimal Assumptions. Psychometrika. https://doi.org/10.1007/bf02294377

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