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Related Experiment Videos

Fullerton Virtual Twin Study.

Nancy L Segal1

  • 1Department of Psychology, California State University, Fullerton, CA 92834, USA. nsegal@fullerton.edu

Twin Research and Human Genetics : the Official Journal of the International Society for Twin Studies
|January 27, 2007
PubMed
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Virtual twins (VTs), unrelated siblings raised together, show similarities in intelligence and body size. Future research will explore personality and social adjustment in VTs and other sibling types.

Area of Science:

  • Behavioral Genetics
  • Developmental Psychology

Background:

  • Virtual twins (VTs) are same-age, unrelated siblings reared together from infancy.
  • Research at CSU Fullerton since 1991 has focused on VT similarities and differences.
  • The TAPS project (2002-2006) involved VTs, twins, siblings, and friends.

Purpose of the Study:

  • To investigate similarities and differences in general intelligence and body size among virtual twins.
  • To expand research into personality, social relations, and adjustment in VTs and other sibling configurations.
  • To continue identifying new virtual twin pairs for ongoing and future studies.

Main Methods:

  • Longitudinal study of virtual twins (VTs) since 1991.
  • Comparative analyses involving monozygotic (MZ) twins, dizygotic (DZ) twins, full siblings, and friends.

Related Experiment Videos

  • Data collection through the collaborative Twins, Adoptees, Peers and Siblings (TAPS) project.
  • Main Results:

    • Established a sample of over 130 virtual twin pairs.
    • Identified similarities and differences in general intelligence and body size within virtual twin pairs.
    • Collected data on personality, social relations, and adjustment for comparative analyses.

    Conclusions:

    • Virtual twins provide a unique model for studying environmental and genetic influences on development.
    • Ongoing research continues to expand understanding of sibling influences across various relationship types.
    • Future studies will leverage existing and new VT data to further explore developmental trajectories.