An automated test development of parallel tests from a seed test

Ronald D. Armstrong, Douglas H. Jones, Ing Long Wu

Research output: Contribution to journalArticlepeer-review

41 Scopus citations


Binary programming models are presented to generate parallel tests from an itembank. The parallel tests are created to match item for item an existing seed test and match user supplied taxonomic specifications. The taxonomic specifications may be either obtained from the seed test or from some other user requirement. An algorithm is presented along with computational results to indicate the overall efficiency of the process. Empirical findings based on an itembank for the Arithmetic Reasoning section of the Armed Services Vocational Aptitude Battery are given.

Original languageEnglish (US)
Pages (from-to)271-288
Number of pages18
Issue number2
StatePublished - Jun 1992

All Science Journal Classification (ASJC) codes

  • General Psychology
  • Applied Mathematics


  • binary programming
  • item response theory
  • multiple criteria optimization
  • network optimization
  • test construction


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