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Research Designs for Data Banks

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  • Leslie L. Roos JR

    (University of Manitoba)

  • J. Patrick Nicol

    (University of Manitoba)

Abstract

This article suggests criteria for suitable research designs for use with large data bases. The advantages and disadvantages of several types of quasi-experimental designs are compared. Among the more interesting designs are those trying to minimize the possibilities for selection differences between treatment and control groups by considering assignment to treatment in creative ways. When the probability of receiving a treatment is largely outside an individual's control, possible selection bias should be reduced. These designs often use data on populations rather than on the particular recipients of an intervention. Such analysis of impact on a population, rather than of effect on recipients, makes it comparatively difficult to find that an intervention makes a difference. Examples are taken from our research with the Manitoba Health Services Commission data.

Suggested Citation

  • Leslie L. Roos JR & J. Patrick Nicol, 1981. "Research Designs for Data Banks," Evaluation Review, , vol. 5(4), pages 501-524, August.
    • Handle: RePEc:sae:evarev:v:5:y:1981:i:4:p:501-524
    DOI: 10.1177/0193841X8100500404
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    References listed on IDEAS

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    1. Roos, N.P. & Roos, L.L., 1981. "High and low surgical rates: Risk factors for area residents," American Journal of Public Health, American Public Health Association, vol. 71(6), pages 591-600.
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