Implementation and measurement efficiency of multidimensional computerized adaptive testing

Wen Chung Wang*, Po Hsi Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

68 Citations (Scopus)


Multidimensional adaptive testing (MAT) procedures are proposed for the measurement of several latent traits by a single examination. Bayesian latent trait estimation and adaptive item selection are derived. Simulations were conducted to compare the measurement efficiency of MAT with those of unidimensional adaptive testing and random administration. The results showed that the higher the correlation between latent traits, the more latent traits there were, and the more scoring levels there were in the items, the more efficient MAT was than the other two procedures. For tests containing multidimensional items, only MAT is applicable, whereas unidimensional adaptive testing is not. Issues in implementing MAT are discussed.

Original languageEnglish
Pages (from-to)295-316
Number of pages22
JournalApplied Psychological Measurement
Issue number5
Publication statusPublished - 2004 Sept
Externally publishedYes


  • Bayesian procedure
  • Computerized adaptive testing
  • Item response theory
  • Multidimensional item response model
  • Rasch model

ASJC Scopus subject areas

  • Social Sciences (miscellaneous)
  • Psychology (miscellaneous)


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