Confirmation bias in structural equation modeling

In this article, a theoretical and philosophical revision of the concept of fit in structural equation modeling and its relation to a confirmation bias is developed. The neutral character of the fit indexes regarding this issue is argued, yielding the conclusion that the creation of new indexes is not a viable protection against confirmation bias. This protection relies on the model modification strategy and the behavior of scientists, rather than on mathematical or computational statistics. The differentiation between two sets of overidentifying constraints and two dimensions for nested models is introduced, leading to a general model‐modification strategy based on the framework of Popper's view of science.