| Owner: |
Christian Meyer
|
| Owner Email: |
meyerct@umd.edu
|
| Paper Title: |
A Practical Geometry of Data-Model Fit and Modification
|
| Session Title: |
Past, Present, and Future of Model Fit: Modern Solutions to Historical Challenges
|
| Paper Type: |
Session Paper
|
| Presentation Date: |
4/25/2022
|
| Presentation Location: |
San Diego, California
|
| Descriptors: |
Research Methodology, Statistics, Structural Modeling
|
| Methodology: |
Quantitative
|
| Author(s): |
Christian Meyer, University of Maryland; Gregory R. Hancock, University of Maryland
|
| Unit: |
SIG-Structural Equation Modeling
|
| Abstract: |
Structural equation model modification following unsatisfactory data-model fit, while common practice, typically involves little to no understanding of the interrelations/redundancy among potential modifications involving fixed/constrained parameters nor those modifications’ potential impact on free parameters already an active part of a model. The current work uses a geometric framing to (1) help better understand data-model fit, (2) explicate the nature and degree of relations among both constrained and free model parameters, and (3) present a software package that generates several modeling tools to help visualize model fit and modification, and in turn embed this within a more thoughtful and informed post hoc modeling process.
|
| DOI: |
https://doi.org/10.3102/1894066
|