Twin analysis on paired comparison data.

Abstract:

:Current behavior genetic models can only employ limited types of phenotypic data, such as Likert scale data or continuous data, as variables. Here, a new method employing paired comparison data is presented within the framework of behavior genetic models. This model facilitates the estimation of genetic, shared environmental, and non-shared environmental contributions to paired comparison variables. Paired comparison methods are sensitive to differences in preferences between items, even when the true preferences are markedly similar. An extended model that combines Likert variables, and which enables the estimation of genetic, shared environmental, and non-shared environmental correlations, is also presented. Simulations are then performed to demonstrate the characteristics of these models. Finally, a real data example is introduced. Mplus script is included in the appendix.

journal_name

Behav Genet

journal_title

Behavior genetics

authors

Ozaki K

doi

10.1007/s10519-007-9183-y

subject

Has Abstract

pub_date

2008-03-01 00:00:00

pages

212-22

issue

2

eissn

0001-8244

issn

1573-3297

journal_volume

38

pub_type

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