The effects of item calibration sample size and item pool size on adaptive testing
1981
Loading...
View/Download File
Persistent link to this item
Statistics
View StatisticsJournal Title
Journal ISSN
Volume Title
Title
The effects of item calibration sample size and item pool size on adaptive testing
Authors
Published Date
1981
Publisher
Type
Article
Abstract
A simulation study of the effects of varying the
item calibration sample size on varying size item
pools was run for the maximum information adaptive
test. Items were calibrated on the three-parameter
logistic model on sample sizes of 500,
1,000, and 2,000. Item pools of 100, 200, or 300
items were developed from the three calibration
sample sizes. Fixed-length adaptive tests of 10, 15,
20, 25, 30, and 35 items were given to a different
group of 500 simulated subjects for each combination
of item pool size and calibration sample size.
Results indicated that high correlations between
ability and estimated ability would be obtained in
any testing if a sufficient number of items were administered.
The reduction of absolute error of ability
estimation was found to require at least 200
items calibrated on 2,000 subjects.
Keywords
Description
Related to
Replaces
License
Series/Report Number
Funding information
Isbn identifier
Doi identifier
Previously Published Citation
Ree, Malcolm J. (1981). The effects of item calibration sample size and item pool size on adaptive testing. Applied Psychological Measurement, 5, 11-19. doi:10.1177/014662168100500102
Other identifiers
doi:10.1177/014662168100500102
Suggested citation
Ree, Malcolm James. (1981). The effects of item calibration sample size and item pool size on adaptive testing. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/100278.
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.