The use of unidimensional parameter estimates of multidimensional items in adaptive testing.
1991
Loading...
View/Download File
Persistent link to this item
Statistics
View StatisticsJournal Title
Journal ISSN
Volume Title
Title
The use of unidimensional parameter estimates of multidimensional items in adaptive testing.
Authors
Published Date
1991
Publisher
Type
Article
Abstract
This study investigated the effect of using
multidimensional items in a computerized adaptive
test (CAT) setting which assumes that all items are
unidimensional. Previous research has suggested
that the composite of multidimensional abilities
being estimated by a unidimensional IRT model is
not constant throughout the entire unidimensional
ability scale (Reckase, Carlson, Ackerman, &
Spray, 1986). Results of this study suggest that
unidimensional calibration of multidimensional
data tends to "filter out" the multidimensionality.
Items that measured a θ₁,θ₂ composite similar to
the composite of the calibrated unidimensional θ
scale had larger estimated unidimensional
discrimination values. These items thus had a
greater probability of being administered in a CAT
where only the most informative items are selected.
Results also suggest that if a CAT item pool
contains items from several content areas
measuring dissimilar θ₁,θ₂ composites, different
unidimensional abilities may receive disparate
proportions of items from the various content
areas. Index terms: adaptive testing, item response
theory, multidimensionality, parallel tests, test
construction.
Keywords
Description
Related to
Replaces
License
Series/Report Number
Funding information
Isbn identifier
Doi identifier
Previously Published Citation
Ackerman, Terry A. (1991). The use of unidimensional parameter estimates of multidimensional items in adaptive testing. Applied Psychological Measurement, 15, 13-24. doi:10.1177/014662169101500103
Suggested citation
Ackerman, Terry A.. (1991). The use of unidimensional parameter estimates of multidimensional items in adaptive testing.. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/113997.
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.