Project Grant 2418845

Award Date 8/15/24
Completion Date 7/31/27
Dollars Obligated $250K
Federal Grant Program
47.075
Assistance Type
Project Grant
Place of Performance
Columbia, SC 29208, USA
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This Project Grant award, valued at $249,999.00, was made by the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program. The research project aims to enhance policy decisions by developing new statistical methods to address the challenges of misspecified structural equation models with latent variables. The key products of this 3-year project, running from August 2024 to July 2027, will be:

  1. New equation-by-equation maximum likelihood estimation methods for structural equation models involving latent variables, to provide more accurate inferences for correctly specified equations within these systems.

  2. Equation-specific tests for use with full information methods to enhance the validity of inferences in misspecified but closely fitting models.

  3. Extensions of the new methods to models involving categorical outcomes.

  4. Comparative evaluations of the equation-by-equation methods against current standard approaches.

  5. Integration of the new methods into the open-source LAVAAN software program to make them broadly available to researchers in the social and behavioral sciences.

The research will be conducted solely by the University of South Carolina, the primary grant recipient, without any planned sub-awards.

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