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Assessing the Quality of Longitudinal Surveys

Author

Listed:
  • Robert F. Boruch

    (Northwestern University)

  • Robert W. Pearson

    (Social Science Research Council and Columbia University)

Abstract

A growing concern has emerged in recent years about the use of relatively large national longitudinal surveys. This concern arises in part from a heightened sensitivity to the diminished support for new data-collection programs across the U.S. federal statistical system and the increasing competition throughout the research and policy communities for what have undoubtedly always been scarce resources for research. Despite this concern, there have yet to be developed tools for evaluating the relative or comparative value of longitudinal surveys and criteria by which more intelligent decisions can be made with respect to whether an ongoing survey should be continued or terminated This article argues that criteria are unlikely to be developed for evaluating whether one longitudinal survey is "better" than another, but that one can assess the quality and usefulness of a particular survey, and it suggests specific guidelines for such assessments.

Suggested Citation

  • Robert F. Boruch & Robert W. Pearson, 1988. "Assessing the Quality of Longitudinal Surveys," Evaluation Review, , vol. 12(1), pages 3-58, February.
    • Handle: RePEc:sae:evarev:v:12:y:1988:i:1:p:3-58
    DOI: 10.1177/0193841X8801200101
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    References listed on IDEAS

    as
    1. Orley Ashenfelter & Gary Solon, 1982. "Longitudinal Labor Market Data: Sources, Uses, and Limitations," Working Papers 535, Princeton University, Department of Economics, Industrial Relations Section..
    2. Thomas Fraker & Rebecca Maynard, 1987. "The Adequacy of Comparison Group Designs for Evaluations of Employment-Related Programs," Journal of Human Resources, University of Wisconsin Press, vol. 22(2), pages 194-227.
    3. repec:pri:indrel:dsp014m90dv50s is not listed on IDEAS
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