This dissertation discusses a number of psychometric issues that require special attention in the analysis of genetically-informative data, such as data on twins. These include heterogeneous measurement error, scaling and scale transformation, and harmonization of phenotypes. It is shown how ignoring these issues can result in spurious findings of genotype by environment interaction. Multilevel item response theory models are proposed that can help solve these problems.
|Award date||24 Mar 2016|
|Place of Publication||Enschede|
|Publication status||Published - 24 Mar 2016|