An investigation of methods for reducing sampling error in certain IRT procedures

Loading...
Thumbnail Image

View/Download File

Persistent link to this item

Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Title

An investigation of methods for reducing sampling error in certain IRT procedures

Published Date

1984

Publisher

Type

Article

Abstract

The sampling errors of maximum likelihood estimates of item response theory parameters are studied in the case when both people and item parameters are estimated simultaneously. A check on the validity of the standard error formulas is carried out. The effect of varying sample size, test length, and the shape of the ability distribution is investigated. Finally, the effect of anchor-test length on the standard error of item parameters is studied numerically for the situation, common in equating studies, when two groups of examinees each take a different test form together with the same anchor test. The results encourage the use of rectangular or bimodal ability distributions, and also the use of very short anchor tests.

Keywords

Description

Related to

Replaces

License

Series/Report Number

Funding information

Isbn identifier

Doi identifier

Previously Published Citation

Wingersky, Marilyn S & Lord, Frederic M. (1984). An investigation of methods for reducing sampling error in certain IRT procedures. Applied Psychological Measurement, 8, 347-364. doi:10.1177/014662168400800312

Suggested citation

Wingersky, Marilyn S.; Lord, Frederic M.. (1984). An investigation of methods for reducing sampling error in certain IRT procedures. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/101951.

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.