Structural equation model modification following unsatisfactory data-model fit, while common practice, typically involves little to no understanding of those modifications’ interrelations/redundancy nor of their potential impact on free parameters already… Click to show full abstract
Structural equation model modification following unsatisfactory data-model fit, while common practice, typically involves little to no understanding of those modifications’ interrelations/redundancy nor of their potential impact on free parameters already an active part of a model. The current work presents a mathematical framework for representing the functional dependency among the model statistics to: (1) help
               
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