The authors address the central criticism of latent variable models in behavioural science, which is that a wide range of causal models may account for the observed data (the factor indeterminacy problem). They review how researchers have recently started using genome-wide data to provide a source of additional information to help to overcome the factor indeterminacy problem by decomposing the genome into a set of uncorrelated units.
- Margaret L. Clapp Sullivan
- Ted Schwaba
- Elliot M. Tucker-Drob
