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Under the skin

On the impartial treatment of genetic and environmental hypotheses of racial differences

Bibliographic Data

ID8711266
AuthorsD Rowe (0000-0001-5899-2653, corresponding author), David C Rowe
EditorsJoseph Rodgers
Year2005
Volume60
Issue1
Pages60-70
Publication date2005-01-01
Open AccessNo
TypeARTICLE
VenueAmerican Psychologist (JOURNAL)
Journal identifiersISSN: 0003-066X • E-ISSN: 1935-990X
PublisherAmerican Psychological Association (PUBLISHER • US)
DOI10.1037/0003-066x.60.1.60
PMID15641922
OpenAlexW2104978632
LanguageEN
Citations received6
References cited42

Environmental and genetic explanations have been given for Black-White racial differences in intelligence and other traits. In science, viable, alternative hypotheses are ideally given equal Bayesian prior weights; but this has not been true in the study of racial differences. This article advocates testing environmental and genetic hypotheses of racial differences as competing hypotheses. Two methods are described: (a) fitting means within structural equation models and (b) predicting means of interracial children. These methods have limitations that call for improved research designs of racial differences. One improvement capitalizes on biotechnology. Genetic admixture estimates--the percentage of genes of European origin that a Black individual possesses (independent of genes related to skin coloration)--can represent genetic influences. The study of interracial children can be improved by increasing sample size and by choosing family members who are most informative for a research question. Eventually, individual-admixture estimates will be replaced by molecular genetic tests of alleles of those genes that influence traits

Bayesian probability · Biology · Evolutionary biology · Race (biology · Statistics · Cognitive Abilities and Testing · Genetic Associations and Epidemiology · Genetic Mapping and Diversity in Plants and Animals · Mathematics · Psychology · Genetics · Social Psychology

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Citations per year0.29
Citation span2005 - 2015 (11)
Highly citedNo

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