title: Can genetics help psychometrics? Improving dimensionality assessment through genetic factor modeling.
abstract: In the present article, we discuss the role that quantitative genetic methodology may play in assessing and understanding the dimensionality of psychological (psychometric) instruments. Specifically, we study the relationship between the observed covariance structures, on the one hand, and the underlying genetic and environmental influences giving rise to such structures, on the other. We note that this relationship may be such that it hampers obtaining a clear estimate of dimensionality using standard tools for dimensionality assessment alone. One situation in which dimensionality assessment may be impeded is that in which genetic and environmental influences, of which the observed covariance structure is a function, differ from each other in structure and dimensionality. We demonstrate that in such situations settling dimensionality issues may be problematic, and propose using quantitative genetic modeling to uncover the (possibly different) dimensionalities of the underlying genetic and environmental structures. We illustrate using simulations and an empirical example on childhood internalizing problems.
authors.affiliation: Department of Biological Psychology.
authors.forename: Sanja
authors.initials: S
authors.lastname: Franić
authors.forename: Conor V
authors.initials: CV
authors.lastname: Dolan
authors.forename: Denny
authors.initials: D
authors.lastname: Borsboom
authors.forename: James J
authors.initials: JJ
authors.lastname: Hudziak
authors.forename: Catherina E M
authors.initials: CE
authors.lastname: van Beijsterveldt
authors.forename: Dorret I
authors.initials: DI
authors.lastname: Boomsma
mesh_terms: D005823:Genetics; D006801:Humans; D008957:Models, Genetic; D015233:Models, Statistical; D011594:Psychometrics; D018433:Twin Studies as Topic