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Statistical Methods for Protecting Personally Identifiable Information in Aggregate Reporting

This SLDS Technical Brief examines what protecting student privacy means in a reporting context. Current reporting practices are described and each is accompanied by an example table that is used to consider whether the intended protections are successful. The Brief illustrates that some practices work better than others in protecting against disclosures of personally identifiable information about individual students. The Brief concludes with a set of recommended reporting rules that can be applied in reports of percentages and rates that are used to describe student outcomes to the public.

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  • Resource Image:
    Statistical Methods for Protecting Personally Identifiable Information in Aggregate Reporting
  • Published:
    Sep 8, 2017
  • Organizations:
    Privacy Technical Assistance Center
  • Number of Pages:
    31 pages.
  • Topics:
    Privacy and Confidentiality, Public Reporting of IDEA Data
  • Tags:
    FERPA, Privacy, Public Reporting, Disclosure Avoidance

For more information about this resource, contact your IDC state liaison.