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Title: An evaluation of different approaches for behavior genetic analyses with psychiatric symptom scores
Authors: van den Oord, EJCG ×
Simonoff, E
Eaves, LJ
Pickles, A
Silberg, J
Maes, Hermine #
Issue Date: Jan-2000
Publisher: Kluwer academic/plenum publ
Series Title: Behavior genetics vol:30 issue:1 pages:1-18
Abstract: We used a simulation study to evaluate six approaches for behavior genetic analyses of psychiatric symptom scores. For the selection of the correct model, the best results were obtained with approaches using transformed scores in combination with a procedure involving p-values. With normalizing transformations, the chi(2) test statistic gave a reasonable impression of the overall fit of the model but was less accurate when used as a difference test. The asymptotic distribution free estimation methods yielded chi(2)s that were much too large. All data analysis techniques yielded substantially biased parameter estimates. The most biased results were obtained with normalizing transformations. The least biased results were obtained with tobit correlations, but because of its large standard errors the most precise estimates were obtained with polychoric correlations and optimal scale scores. An empirical study showed that a recognition of the role of methodological factors was helpful to understand parr of the differences between assessment instruments, raters, and data analysis techniques that were found in the real data.
URI: 
ISSN: 0001-8244
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Research Group Neurophysiology
Exercise Physiology Research Group
Teacher Training, Faculty of Movement and Rehabilitation Sciences
× corresponding author
# (joint) last author

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