Abstract
There are few absolute statements worth risking in characterizing bio-behavioral research with living human populations. One exception might be: Whatever the population, whatever the response, living human populations are heterogeneous.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bickel, P. J., Hammel, E. A., O’Connell, J. W. (1975). Sex bias in graduate admissions: Data from Berkeley. Science, 187, 398–404.
Blyth, C. R. (1972). On Simpson’s paradox and the sure-thing principle. Journal of the American Statistical Association, 68, 746.
Goodman, L. A. (1959). Some alternatives to ecological correlation. American Journal of Sociology, 64, 610–625.
Kraemer, H. C. (1978). Individual and ecological correlation in a general context: The investigation of testosterone and orgasmic frequency in the human male. Behavior Science, 23, 67–72.
Robinson, W. S. (1950). Ecological correlations and the behavior of individuals. American Sociological Review, 15, 351–357.
Simpson, E. H. (1951). The interpretation of interaction in contingency tables. Journal of the Royal Statistical Society, Series B., 13, 238–241.
Wagner, C. H. (1982). Simpson’s paradox in real life. The American Statistician, 36, 46–48.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1996 Plenum Press, New York
About this chapter
Cite this chapter
Kraemer, H.C. (1996). Fear of Heterogeneity in the Study of Human Populations and the Statistical Artifacts It Produces. In: Kato, P.M., Mann, T. (eds) Handbook of Diversity Issues in Health Psychology. The Plenum Series in Culture and Health. Springer, Boston, MA. https://doi.org/10.1007/978-0-585-27572-7_2
Download citation
DOI: https://doi.org/10.1007/978-0-585-27572-7_2
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-306-45325-0
Online ISBN: 978-0-585-27572-7
eBook Packages: Springer Book Archive