A model selection approach to structural equation modelling: A critical evaluation and a road map for ecologists

Structural equation modelling (SEM) can illuminate complex interaction networks of the sort found in ecology. However, selecting optimally complex, data-supported SEM models and quantifying their uncertainty are difficult processes. To this end, we recommend a formal model selection approach (MSA) that uses information criteria. Using suite numerical simulations, compare MSA-SEM against two traditional methods. We find exhibits superior, unbiased results under suboptimal realistic conditions characteristic ecological studies. then provide road map for demonstrate its use via case study. illustrate unique abilities to confirm network structure within realm known causal pathways delineate boundaries which should be applied.