NDLI: An Evaluation of Different Approaches for Behavior Genetic Analyses with Psychiatric Symptom Scores

Content Provider	Springer Nature Link
Author	van den Oord, Edwin J. C. G. Simoff, Emily Eaves, Lindon J. Pickles, Andrew Silberg, Judy Maes, Hermine
Copyright Year	2000
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 χ2 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 χ2s 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 part of the differences between assessment instruments, raters, and data analysis techniques that were found in the real data.
Starting Page	1
Ending Page	18
Page Count	18
File Format	PDF
ISSN	00018244
Journal	Behavior Genetics
Volume Number	30
Issue Number	1
e-ISSN	15733297
Language	English
Publisher	Kluwer Academic Publishers-Plenum Publishers
Publisher Date	2000-01-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Human Genetics Neurosciences Evolutionary Biology
Content Type	Text
Resource Type	Article
Subject	Genetics Ecology, Evolution, Behavior and Systematics Genetics (clinical)

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