The Bell Curve: Corrected for Skew

Haggai Kupermintz

Abstract


This commentary documents serious pitfalls in the statistical analyses and the interpretation of empirical evidence presented in The Bell Curve. Most importantly, the role of education is re-evaluated and it is shown how, by neglecting it, The Bell Curve grossly overstates the case for IQ as a dominant determinant of social success. The commentary calls attention to important features of logistic regression coefficients, discusses sampling and measurement uncertainties of estimates based on observational sample data, and points to substantial limitations in interpreting regression coefficients of correlated variables.

Keywords


Intelligence; Intelligence Quotient; Intelligence Test; Nature Nurture Controversy; Performance Factors; Research Utilization; Role of Education; Social Problems; Statistical Analysis

Full Text:

PDF


DOI: http://dx.doi.org/10.14507/epaa.v4n20.1996

Article Metrics

Metrics Loading ...

Metrics powered by PLOS ALM


Discussion




Contact EPAA//AAPE at Mary Lou Fulton Teachers College