Intelligence, Genes, and Success

1. Front Matter

   Pages i-xi

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2. Overview

   1. Front Matter

      Pages 1-2

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   2. Reexamining The Bell Curve

      • Stephen E. Fienberg, Daniel P. Resnick

      Pages 3-18

   3. A Synopsis of The Bell Curve

      • Terry W. Belke

      Pages 19-40

3. The Genetics—Intelligence Link

   1. Front Matter

      Pages 41-43

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   2. Of Genes and IQ

      • Michael Daniels, Bernie Devlin, Kathryn Roeder

      Pages 45-70

   3. The Malleability of Intelligence Is Not Constrained by Heritability

      • Douglas Wahlsten

      Pages 71-87

   4. Racial and Ethnic Inequalities in Health: Environmental, Psychosocial, and Physiological Pathways

      • Burton Singer, Carol Ryff

      Pages 89-122

4. Intelligence and the Measurement of IQ

   1. Front Matter

      Pages 123-124

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   2. Theoretical and Technical Issues in Identifying a Factor of General Intelligence

      • John B. Carroll

      Pages 125-156

   3. The Concept and Utility of Intelligence

      • Earl Hunt

      Pages 157-176

5. Intelligence and Success: Reanalyses of Data from the NLSY

   1. Front Matter

      Pages 177-178

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   2. Cognitive Ability, Wages, and Meritocracy

      • John Cawley, Karen Conneely, James Heckman, Edward Vytlacil

      Pages 179-192

   3. The Hidden Gender Restriction: The Need for Proper Controls When Testing for Racial Discrimination

      • Alexander Cavallo, Hazem El-Abbadi, Randal Heeb

      Pages 193-214

   4. Does Staying in School Make You Smarter? The Effect of Education on IQ in The Bell Curve

      • Christopher Winship, Sanders Korenman

      Pages 215-234

   5. Cognitive Ability, Environmental Factors, and Crime: Predicting Frequent Criminal Activity

      • Lucinda A. Manolakes

      Pages 235-255

   6. Social Statistics and Genuine Inquiry: Reflections on The Bell Curve

      • Clark Glymour

      Pages 257-280

6. The Bell Curve and Public Policy

   1. Front Matter

      Pages 281-282

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7. The Bell Curve and Public Policy

   1. A “Head Start” in What Pursuit? IQ Versus Social Competence as the Objective of Early Intervention

      • Edward Zigler, Sally J. Styfco

      Pages 283-314

   2. Is There a Cognitive Elite in America?

      • Nicholas Lemann

      Pages 315-325

This is author-approved bcc. If it is too long, delete the last sentence in each of the biographies. THE BELL CURVE by Richard Herrnstein and Charles Murray, a best selling book published in 1994, set off a hailstorm of controversy about the relationships among IQ, genetics, and various social outcomes, including welfare dependency, crime, and earnings. Much of the public reaction to the book was polemical and did not focus on the details of the science and in particular on the validity of the statistical arguments that underlie the books's conclusions. A detailed understanding of the arguments in THE BELL CURVE requires knowledge about (i) statistical models for genetic heritability, (ii) factor analysis, especially as it has been applied to the analysis of IQ tests, (iii) logistic regression and multiple regression analyses,and (iv) causal modelling and alternative statistical frameworks for making inference from longitudinal data. In this volume a group of statisticians and social scientists have assembled a scientific response to THE BELL CURVE. The sixteen chapters begin by presenting an overview of the scientific and statistical issues and summarize the material in Herrnstein and Murray's book. Then separate chapters by various experts deal with more focused issues, including reanalyses of data relied upon by the authors of THE BELL CURVE. The final chapters consider some of the implications of the work described in the book for American public policy and scientific research. BERNIE DEVLIN is Program Director of the Computational Genetics Program at the University of Pittsburgh Medical Center. He serves on

• calculus
• factor analysis
• logistic regression
• modeling
• Multiple Regression
• statistical models
• statistics

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