Implementation and measurement efficiency of multidimensional computerized adaptive testing

Wen Chung Wang; Po Hsi Chen

doi:10.1177/0146621604265938

Implementation and measurement efficiency of multidimensional computerized adaptive testing

Wen Chung Wang^*, Po Hsi Chen

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

69 Citations (Scopus)

Abstract

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 language	English
Pages (from-to)	295-316
Number of pages	22
Journal	Applied Psychological Measurement
Volume	28
Issue number	5
DOIs	https://doi.org/10.1177/0146621604265938
Publication status	Published - 2004 Sept
Externally published	Yes

Keywords

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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title = "Implementation and measurement efficiency of multidimensional computerized adaptive testing",

abstract = "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.",

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AU - Wang, Wen Chung

AU - Chen, Po Hsi

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AB - 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.

KW - Bayesian procedure

KW - Computerized adaptive testing

KW - Item response theory

KW - Multidimensional item response model

KW - Rasch model

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Implementation and measurement efficiency of multidimensional computerized adaptive testing

Abstract

Keywords

ASJC Scopus subject areas

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