Augmenting the Correlated Trait-Correlated Method Model for Multitrait-Multimethod Data

作者：Castro Schilo Laura^*; Grimm Kevin J; Widaman Keith F

来源：Structural Equation Modeling, 2016, 23(6): 798-818.

DOI：10.1080/10705511.2016.1214919

• construct validity
• correlated trait-correlated method model
• method effects
• method variance
• multitrait-multimethod models

We introduce an approach for ensuring empirical identification of the correlated trait-correlated method (CT-CM) model under a variety of conditions. A set of models are referred to as augmented correlated trait-correlated method (ACT-CM) models because they are based on systematically augmenting the multitrait-multimethod matrix put forth by Campbell and Fiske (1959). We show results from a Monte Carlo simulation study in which data characteristics lead to an empirically underidentified standard CT-CM model, but a well-identified fully augmented correlated trait-correlated method (FACT-CM) model. This improved identification occurs even for a model in which equality constraints are imposed on loadings on each trait factor and loadings on each method factora specific case shown to lead to an empirically underidentified CT-CM model.

• 出版日期2016-12