Book contents
- Frontmatter
- Dedication
- Epigraph
- Contents
- List of figures, tables and boxes
- Acknowledgments
- Part I Human autonomy
- 1 Twins and autonomy
- 2 Justice and freedom
- 3 The great debate
- 4 Slow and quick decay of family effects
- 5 Reconciliation with twins and adoptions
- 6 The fairness factor
- Part II Intelligence
- For scholars who wish to use the Age-Table Method to measure family effects in nations other than the USA
- Appendix I Wechsler Vocabulary and description of method of analysis
- Appendix II Stanford-Binet Vocabulary
- Appendix III Raven's Progressive Matrices
- References
- Name index
- Subject index
5 - Reconciliation with twins and adoptions
from Part I - Human autonomy
Published online by Cambridge University Press: 05 June 2016
- Frontmatter
- Dedication
- Epigraph
- Contents
- List of figures, tables and boxes
- Acknowledgments
- Part I Human autonomy
- 1 Twins and autonomy
- 2 Justice and freedom
- 3 The great debate
- 4 Slow and quick decay of family effects
- 5 Reconciliation with twins and adoptions
- 6 The fairness factor
- Part II Intelligence
- For scholars who wish to use the Age-Table Method to measure family effects in nations other than the USA
- Appendix I Wechsler Vocabulary and description of method of analysis
- Appendix II Stanford-Binet Vocabulary
- Appendix III Raven's Progressive Matrices
- References
- Name index
- Subject index
Summary
Questions
(1) Are my estimates of the cognitive variance due to family effects compatible with the estimates of “common environment” from kinship studies?
(2) Do the IQ gains of adopted children confirm the kinship studies?
My estimates of the percentage of IQ variance family accounts for will prove sufficient to accomplish their purpose. I aim at supplementing kinship studies (with fresh estimates of family effects by performance level and subtest), not at replacing them. This chapter will show that my estimates are comparable with the twin studies, taking the twin estimates as a given. It will also show that my estimates are in accord with adoption studies, with particular reference to identifying the age at which family effects cease.
Twin studies
We can use my results for the percentage of variance due to family effects to partition cognitive variance into its three main components. These are: genes (including environment matched to genes), family, and current environment uncorrelated with genes. Fortunately, kinship studies show that “uncorrelated with genes” environment (or chance environment or uncommon environment) is steady between ages 6 and adulthood, which is something we would expect from a set of “random” factors. If we add that percentage on to the family percentage and deduct the sum from 100 percent, we get my own estimate of the influence of genes.
Dutch kinship study
Using Stanford-Binet (2001) Vocabulary, Table 9 performs that service. The Dutch values are from Holland (McGue et al., 1993) and their estimates are typical of kinship studies.
Their estimate of 18 percent accounted for by chance (“uncommon environment”) is a bit lower than the usual 20 percent (Haworth et al., 2010; McGue et al., 1993), but it is close enough. The values in bold show that we have achieved our objective of a good match with kinship data: the six comparisons show on average a difference of only 7.45 percent; the match is almost perfect at age 18.
The termination of family effects
However, there is one result of the twin studies we have yet to confirm: that family effects disappear entirely sometime during adulthood.
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- Information
- Does your Family Make You Smarter?Nature, Nurture, and Human Autonomy, pp. 62 - 72Publisher: Cambridge University PressPrint publication year: 2016