Publication Type

Journal Article

Publication Date

1-2004

Abstract

This simulation investigates bias in trait factor loadings and intercorrelations when analyzing multitrait-multimethod (MTMM) data using the correlated uniqueness (CU) confirmatory factor analysis (CFA) model. A theoretical weakness of the CU model is the assumption of uncorrelated methods. However, previous simulation studies have shown little bias in trait estimates even when true method correlations are large. We hypothesized that there would be substantial bias when both method factor correlations and method factor loadings were large. We generated simulated sample data using population parameters based on our review of actual MTMM results. Results confirmed the prediction; substantial bias occurred in trait factor loadings and correlations when both method loadings and method correlations were large.

Keywords

Computer simulation, Correlation methods, Mathematical models, Matrix algebra, Parameter estimation

Discipline

Human Resources Management | Organizational Behavior and Theory

Research Areas

Organisational Behaviour and Human Resources

Publication

Structural Equation Modeling

Volume

11

Issue

4

First Page

535

Last Page

559

ISSN

1070-5511

Identifier

10.1207/s15328007sem1104_3

Publisher

Taylor & Francis (Routledge): STM, Behavioural Science and Public Health Titles

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Additional URL

https://doi.org/10.1207/s15328007sem1104_3

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