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Estimating Mediated Effects in Prevention Studies

Author

Listed:
  • David P. Mackinnon

    (Arizona State University)

  • James H. Dwyer

    (University of Southern California)

Abstract

The purpose of this article is to describe statistical procedures to assess how prevention and intervention programs achieve their effects. The analyses require the measurement of intervening or mediating variables hypothesized to represent the causal mechanism by which the prevention program achieves its effects. Methods to estimate mediation are illustrated in the evaluation of a health promotion program designed to reduce dietary cholesterol and a school-based drug prevention program. The methods are relatively easy to apply and the information gained from such analyses should add to our understanding of prevention.

Suggested Citation

  • David P. Mackinnon & James H. Dwyer, 1993. "Estimating Mediated Effects in Prevention Studies," Evaluation Review, , vol. 17(2), pages 144-158, April.
    • Handle: RePEc:sae:evarev:v:17:y:1993:i:2:p:144-158
    DOI: 10.1177/0193841X9301700202
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    References listed on IDEAS

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    1. Clement Stone & Michael Sobel, 1990. "The robustness of estimates of total indirect effects in covariance structure models estimated by maximum," Psychometrika, Springer;The Psychometric Society, vol. 55(2), pages 337-352, June.
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