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A 'weight of evidence' approach to evaluating structural equation models

March 13, 2020

It is possible that model selection has been the most researched and most discussed topic in the history of both statistics and structural equation modeling (SEM). The reason for this is because selecting one model for interpretive use from amongst many possible models is both essential and difficult. The published protocols and advice for model evaluation and selection in SEM studies are complex and difficult to integrate with current approaches used in biology. Opposition to the use of p-values and decision thresholds has been voiced by the statistics community, yet certain phases of model evaluation have been historically tied to reliance on p-values. In this paper, I outline an approach to model evaluation, comparison and selection based on a weight-of-evidence paradigm. The details and proposed sequence of steps are illustrated using a real-world example. At the end of the paper, I briefly discuss the current state of knowledge and a possible direction for future studies.

Publication Year 2020
Title A 'weight of evidence' approach to evaluating structural equation models
DOI 10.3897/oneeco.5.e50452
Authors James Grace
Publication Type Article
Publication Subtype Journal Article
Series Title One Ecosystem
Index ID 70209158
Record Source USGS Publications Warehouse
USGS Organization Wetland and Aquatic Research Center