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Intelligence, Genes, and Success

Scientists Respond to The Bell Curve

  • Editors
  • Bernie Devlin
  • Stephen E. Fienberg
  • Daniel P. Resnick
  • Kathryn Roeder

Table of contents

  1. Front Matter
    Pages i-xi
  2. Overview

    1. Front Matter
      Pages 1-2
    2. Stephen E. Fienberg, Daniel P. Resnick
      Pages 3-18
    3. Terry W. Belke
      Pages 19-40
  3. The Genetics—Intelligence Link

    1. Front Matter
      Pages 41-43
    2. Michael Daniels, Bernie Devlin, Kathryn Roeder
      Pages 45-70
  4. Intelligence and the Measurement of IQ

    1. Front Matter
      Pages 123-124
    2. Earl Hunt
      Pages 157-176
  5. Intelligence and Success: Reanalyses of Data from the NLSY

    1. Front Matter
      Pages 177-178
    2. John Cawley, Karen Conneely, James Heckman, Edward Vytlacil
      Pages 179-192
  6. The Bell Curve and Public Policy

    1. Front Matter
      Pages 281-282
    2. Nicholas Lemann
      Pages 315-325
    3. Daniel P. Resnick, Stephen E. Fienberg
      Pages 327-339
  7. Back Matter
    Pages 341-376

About this book

Introduction

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

Keywords

calculus factor analysis logistic regression modeling Multiple Regression statistical models statistics

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4612-0669-9
  • Copyright Information Springer-Verlag New York, Inc. 1997
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-387-94986-4
  • Online ISBN 978-1-4612-0669-9
  • Buy this book on publisher's site