The Bell Curve: Corrected for Skew

Autores

  • Haggai Kupermintz Stanford University

DOI:

https://doi.org/10.14507/epaa.v4n20.1996

Palavras-chave:

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

Resumo

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.

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Biografia do Autor

Haggai Kupermintz, Stanford University

Haggai Kupermintz is a doctoral candidate in Psychological Studies in Education, School of Education, Stanford University, Stanford, CA 94305. His specializations are educational measurement and statistics.

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Publicado

1996-12-24

Como Citar

Kupermintz, H. (1996). The Bell Curve: Corrected for Skew. Arquivos Analíticos De Políticas Educativas, 4, 20. https://doi.org/10.14507/epaa.v4n20.1996

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