Work

Testing nonnested structural equation models.

Year: 2015

Type: article

Abstract: In this article, we apply Vuong's (1989) likelihood ratio tests of nonnested models to the comparison of nonnested structural equation models (SEMs). Similar tests have been previously applied in SEM contexts (especially to mixture models), though the nonstandard output required to conduct the tests has limited their use and study. We review the theory underlying the tests and show how they can be used to construct interval estimates for differences in nonnested information criteria. Through both simulation and application, we then study the tests' performance in nonmixture SEMs and describe their general implementation via free R packages. The tests offer researchers a useful tool for nonnested SEM comparison, with barriers to test implementation now removed. (PsycINFO Database Record

Source: Psychological Methods

DOI: 10.1037/met0000038

Authors: Edgar C. Merkle, Dongjun You, Kristopher J. Preacher

Institutions: University of Missouri, Vanderbilt University

Language: English

Topic: Psychometric Methodologies and Testing

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: hybrid

Funder: National Science Foundation

Award: Stochastic Processes for Assessing Measurement Invariance in Psychometric Models