Predicting Industry Personnel Security Investigation Requirements

Abstract

The 2000 Defense Authorization Bill included a mandate that the Department of Defense (DoD) assess personnel security investigation (PSI) requirements. Accurate PSI predictions are critical so that DoD can develop budgets to cover industry PSI expenses and adjudication workload. The need for this information increased with the 2005 transfer of nearly all DoD PSIs to the Office of Personnel Management (OPM) and its contractors. In response to the mandate, the Defense Security Service (DSS) established a Central Requirements Office (CRO) for industry personnel security clearances and instituted an annual survey of cleared facilities to obtain information about the number of PSIs the facilities expected to require in upcoming years. Because the survey responses have not been sufficiently accurate in predicting actual PSI requirements, DSS contacted the Defense Personnel Security Research Center (PERSEREC) for assistance in improving prediction methods. PERSEREC conducted research and developed an adjusted prediction method that could improve prediction accuracy for industry PSI requirements. Recommended changes in how annual survey data are collected should also enhance prediction accuracy. PERSEREC presented the findings, including prediction algorithms, recommendations and supporting information, to the DSS CRO May 2005. The current report documents the research goals, methods, findings, and recommendations for improving the prediction of industry PSI requirements.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2007
Accession Number
ADA461455

Entities

People

  • Eric L. Lang
  • Leissa C. Nelson

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Acquisition
  • Aerospace Industry
  • Commerce
  • Contractors
  • Contracts
  • Data Centers
  • Department Of Defense
  • Governments
  • Homeland Security
  • Materials
  • National Security
  • Personnel Management
  • Procurement
  • Regression Analysis
  • Security
  • Small Business

Readers

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  • Defense Acquisition Program Management
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