A Review of Some Individual- and Community-Level Effect Size Indices for the Study of Risk Factors for Child and Adolescent Development

Abstract

This article discusses the computation and application of various epidemiological measures of effect in educational and developmental research. Specifically, epidemiology provides a potentially important perspective for studies identifying risk factors for healthy child development. For example, it allows for the examination of both individual-level risk (the impact of risk factors on individuals experiencing them) and community-level risk (the impact of risk factors on the overall number of cases within a population). In terms of individual-level risk, issues related to the use and interpretation of the risk-ratio, the odds-ratio, and the logistic regression odds-ratio are reviewed. In addition, community-level measures of effect, such as the population-attributable fraction percentage, are examined. Implications of the design methodology (cohort study, case-control study, or representative study) on the choice and use of these measures of effect are discussed. Data from a large-scale ongoing project in developmental epidemiology are presented throughout the article for illustrative purposes.

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References

Afifi, A. A. , & Clark, V. (1990). Computer-aided multivariate analysis. New York: Van Nostrand Reinhold.

Cohen, J. , & Cohen, P. (1983). Applied multiple regression/correlation analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum.

Cole, P. , & MacMahon, B. (1971). Attributable risk percent in case-control studies. British Journal of Preventive and Social Medicine, 25, 242-244.

Heldref Foundation . (1997). Guidelines for contributors. Journal of Experimental Education, 65, 95-96.

Hennekens, C. H. , & Buring, J. E. (1987). Epidemiology in medicine. Boston: Little, Brown.

Kelsey, J. L. , Thompson, W. D. , & Evans, A. S. (1986). Methods in observational epidemiology. In A. M. Lilienfield (Ed.), Monographs in epidemiology and biostatistics (Vol. 10). Oxford: Oxford University Press.

Last, J. M. (1995). A dictionary of epidemiology (3rd ed.). Oxford, UK: Oxford University Press.

Mantel, N. , & Haenszel, W. (1959). Statistical aspects of the analysis of data from retrospective studies of disease. Journal of the National Cancer Institute, 22, 719-748.

Mason, C. A. , Chapman, D. A. , & Scott, K. G. (1999). The identification of early risk factors for severe emotional disturbances and emotional handicaps: An epidemiological approach. American Journal of Community Psychology, 27, 357-381.

10.

Murphy, K. R. (1997). Editorial. Journal of Applied Psychology, 82, 3-5.

11.

Pedhazur, E. J. (1997). Multiple regression in behavioral research: Explanation and prediction (3rd ed.). Fort Worth, TX: Harcourt Brace.

12.

Rothman, K. J. (1986). Modern epidemiology. Boston: Little, Brown.

13.

Scott, K. G. , Mason, C. A. , & Chapman, D. A. (in press). The use of an epidemiological methodology as a means for influencing public policy. Child Development.

14.

Thompson, B. (1994). Guidelines for authors. Educational and Psychological Measurement, 54, 837-847.

15.

Walter, S. D. (1998). Attributable risk in practice. American Journal of Epidemiology, 148, 411-413.

16.

Wilkinson, L. , & APA Task Force on Statistical Inferenc . (1999). Statistical methods in psychology journals: Guidelines and explanations. American Psychologist, 54, 594-604.